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ToricVectorBundles.m2
--*- coding: utf-8 -*- --------------------------------------------------------------------------- -- PURPOSE: Computations with vector bundles on toric varieties -- PROGRAMMER : René Birkner -- UPDATE HISTORY : November 2008, November 2009, April 2010, May 2024, April 2025 --------------------------------------------------------------------------- newPackage("ToricVectorBundles", Headline => "vector bundles on toric varieties", Version => "1.3", Date => "April 15, 2025", Authors => { {Name => "René Birkner" }, {Name => "Nathan Ilten", HomePage => "https://www.sfu.ca/~nilten/", Email => "nilten@sfu.ca"}, {Name => "Lars Petersen" }}, Keywords => {"Toric Geometry"}, Certification => { "journal name" => "The Journal of Software for Algebra and Geometry: Macaulay2", "journal URI" => "https://msp.org/jsag/", "article title" => "Computations with equivariant toric vector bundles", "acceptance date" => "2010-06-15", "published article URI" => "https://msp.org/jsag/2010/2-1/p03.xhtml", "published article DOI" => "10.2140/jsag.2010.2.11", "published code URI" => "https://msp.org/jsag/2010/2-1/jsag-v2-n1-x03-code.zip", "release at publication" => "314a1e7a1a5f612124f23e2161c58eabeb491f46", "version at publication" => "1.0", "volume number" => "2", "volume URI" => "https://msp.org/jsag/2010/2-1/" }, Configuration => {}, PackageImports => {"Varieties"}, PackageExports => {"Isomorphism", "Polyhedra"} ) -- Check version compatibility of Polyhedra if (options Polyhedra)#Version < "1.1" then error("expected at least version 1.1 of Polyhedra to be installed.") --------------------------------------------------------------------------- -- COPYRIGHT NOTICE: -- -- Copyright 2010 René Birkner, Nathan Owen Ilten, and Lars Petersen -- -- -- This program is free software: you can redistribute it and/or modify -- it under the terms of the GNU General Public License as published by -- the Free Software Foundation, either version 3 of the License, or -- (at your option) any later version. -- -- This program is distributed in the hope that it will be useful, -- but WITHOUT ANY WARRANTY; without even the implied warranty of -- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the -- GNU General Public License for more details. -- -- You should have received a copy of the GNU General Public License -- along with this program. If not, see <http://www.gnu.org/licenses/>. -- --------------------------------------------------------------------------- export {"ToricVectorBundle", "ToricVectorBundleKaneyama", "ToricVectorBundleKlyachko", "toricVectorBundle", "addBase", "addBaseChange", "addDegrees", "addFiltration", "areIsomorphic", "base", "cartierIndex", "charts", "cocycleCheck", "cotangentBundle", "deltaE", "details", "eulerChi", "existsDecomposition", "filtration", "findWeights", "isGeneral", --"isomorphism", "isVectorBundle", "randomDeformation", "regCheck", "tangentBundle", "twist", "weilToCartier", "hirzebruchFan", "pp1ProductFan", "projectiveSpaceFan", "raySortOfFan", "customConeSort"} protect allRaysTable protect isoMatrix protect gradedRing protect cech protect isVB protect cocyle protect degreesList protect cocycle protect weights protect isomorphic --------------------------------------------------------------------------- -- DEFINING NEW TYPES --------------------------------------------------------------------------- -- For some reason it is important for ToricVectorBundles to be able to sort -- cones. Since cones as keys in hashtables do not work anymore we move the old -- code for sorting cones here from OldPolyhedra.m2 and implement a method for -- sorting the new keys. Cone ? Cone := (C1,C2) -> ( if C1 == C2 then symbol == else ( if ambDim C1 != ambDim C2 then ambDim C1 ? ambDim C2 else ( if dim C1 != dim C2 then dim C1 ? dim C2 else ( R1 := sort rays C1; R2 := sort rays C2; if R1 != R2 then ( R1 = apply(numColumns R1, i -> R1_{i}); R2 = apply(numColumns R2, i -> R2_{i}); (a,b) := (set R1,set R2); r := (sort matrix {join(select(R1,i->not b#?i),select(R2,i->not a#?i))})_{0}; if a#?r then symbol > else symbol <) else ( R1 = linSpace C1; R2 = linSpace C2; R1 = apply(numColumns R1, i -> R1_{i}); R2 = apply(numColumns R2, i -> R2_{i}); (c,d) := (set R1,set R2); l := (sort matrix {join(select(R1,i->not d#?i),select(R2,i->not c#?i))})_{0}; if c#?l then symbol > else symbol <))))) customConeSort = method() customConeSort List := L -> ( L = apply(L, l -> posHull l); L = sort L; L = apply(L, l -> (rays l, linealitySpace l)); L ) -- Defining the new type ToricVectorBundle, the parent type to the two types of TVB ToricVectorBundle = new Type of HashTable -- Defining the new type ToricVectorBundleKaneyama ToricVectorBundleKaneyama = new Type of ToricVectorBundle ToricVectorBundleKaneyama.synonym = "vector bundle on a toric variety (Kaneyama's description)" globalAssignment ToricVectorBundleKaneyama -- Defining the new type ToricVectorBundleKlyachko ToricVectorBundleKlyachko = new Type of ToricVectorBundle ToricVectorBundleKlyachko.synonym = "vector bundle on a toric variety (Klyachko's description)" globalAssignment ToricVectorBundleKlyachko -- Modifying the standard output for a ToricVectorBundleKaneyama to give an overview of its characteristica net ToricVectorBundleKaneyama := tvb -> ( horizontalJoin flatten ( "{", -- prints the parts vertically stack (horizontalJoin \ sort apply({"dimension of the variety", "rank of the vector bundle", "number of affine charts"}, key -> (net key, " => ", net tvb#key))), "}" )) -- Modifying the standard output for a ToricVectorBundleKlyachko to give an overview of its characteristica net ToricVectorBundleKlyachko := tvb -> ( horizontalJoin flatten ( "{", -- prints the parts vertically stack (horizontalJoin \ sort apply({"dimension of the variety", "rank of the vector bundle", "number of affine charts", "number of rays"}, key -> (net key, " => ", net tvb#key))), "}" )) --------------------------------------------------------------- -- Sorting rays --------------------------------------------------------------- -- A ray is a matrix ZZ^n <-- ZZ^1, so rays can be sorted by assembling them -- into a matrix and calling "sortColumns". We sort the rays as in the package -- Polyhedra, so that changes to the algorithm for computing the hash code of -- matrices doesn't affect what we do. raySort = value Polyhedra#"private dictionary"#"raySort" raySortOfFan = (fan) -> ( r := rays fan; raySort for i from 0 to numColumns r - 1 list r_{i} ) --------------------------------------------------------------- -- FUNCTIONS TO CONSTRUCT VECTOR BUNDLES AND MODIFY THEM --------------------------------------------------------------- -- PURPOSE : Building a Vector Bundle of rank 'k' on the Toric Variety given by the Fan 'F' toricVectorBundle = method(Options => true) -- INPUT : '(k,F)', a strictly positive integer 'k' and a pure and full dimensional Fan 'F' -- OUTPUT : A ToricVectorBundleKaneyama or ToricVectorBundleKlyachko -- COMMENT : If no option is given the function will return a ToricVectorBundleKlyachko, if "Type" => "Kaneyama" is given it returns a ToricVectorBundleKaneyama toricVectorBundle (ZZ,Fan) := {"Type"=>"Klyachko"} >> opts -> (k,F) -> ( if opts#"Type" == "Kaneyama" then makeVBKaneyama(k,F) else if opts#"Type" == "Klyachko" then makeVBKlyachko(k,F) else error("Expected Type to be Klyachko or Kaneyama.")) -- INPUT : '(k,F,L1,L2)', a strictly positive integer 'k',a pure and full dimensional Fan 'F', and two lists 'L1' and 'L2' -- OUTPUT : A ToricVectorBundleKaneyama or ToricVectorBundleKlyachko -- COMMENT : If no option is given the function will return a ToricVectorBundleKlyachko where the base matrices are given in the first list and the -- filtration matrices are given in the second list, -- if "Type" => "Kaneyama" is given it returns a ToricVectorBundleKaneyama where the degree matrices are given in the first list and the -- transition matrices are given in the second list. toricVectorBundle (ZZ,Fan,List,List) := {"Type"=>"Klyachko"} >> opts -> (k,F,L1,L2) -> ( if opts#"Type" == "Kaneyama" then makeVBKaneyama(k,F,L1,L2) else if opts#"Type" == "Klyachko" then makeVBKlyachko(k,F,L1,L2) else error("Expected Type to be Klyachko or Kaneyama.")) -- PURPOSE : Changing the base matrices of a given ToricVectorBundleKlyachko to those given in the List -- INPUT : '(tvb,L)', a ToricVectorBundle 'tvb' and a list 'L'of k by k matrices over a common ring/field, one for each -- ray of the underlying fan -- OUTPUT : The ToricVectorBundleKlyachko 'tvb' -- COMMENT : Note that the matrices in 'L' will be assigned to the rays in the order they appear in rays tvb addBase = method(TypicalValue => ToricVectorBundleKlyachko) addBase (ToricVectorBundleKlyachko,List) := (tvb,L) -> ( -- Extracting data out of tvb k := tvb#"rank of the vector bundle"; n := tvb#"number of rays"; R := raySortOfFan tvb#"ToricVariety"; -- Checking for input errors if n != #L then error("Expected number of matrices to match number of rays of the fan."); if any(L, l -> not instance(l,Matrix)) then error("Expected the bases to be given as matrices."); P := unique apply(L,ring); if #P != 1 then ( if P === {QQ,ZZ} or P === {ZZ,QQ} then ( L = apply(L, l -> promote(l,QQ)); P = {QQ}) else error("Expected all the bases to be over the same ring.")); -- Creating the table of bases for the rays baseTable := hashTable apply(n, i -> ( M := L#i; -- Checking for more input errors if numColumns M != k or numRows M != k then error("Expected the base change matrices to be rank times rank matrices."); if det M == 0 then error("Expected the bases to have full rank."); -- Inserting the matrix at the i-th position R#i => M)); -- Writing the bases into the bundle new ToricVectorBundleKlyachko from { "ring" => first P, "rayTable" => tvb#"rayTable", "baseTable" => baseTable, "filtrationMatricesTable" => tvb#"filtrationMatricesTable", "filtrationTable" => tvb#"filtrationTable", "ToricVariety" => tvb#"ToricVariety", "number of affine charts" => tvb#"number of affine charts", "dimension of the variety" => tvb#"dimension of the variety", "rank of the vector bundle" => tvb#"rank of the vector bundle", "number of rays" => tvb#"number of rays", symbol cache => new CacheTable}) -- PURPOSE : Changing the transition matrices of a given ToricVectorBundle to those given in the List -- INPUT : '(tvb,L)', a ToricVectorBundle 'tvb' and a list 'L'of k by k matrices over QQ, one for each -- pair of top dimensional Cones intersecting in a common codim 1 face. -- OUTPUT : The ToricVectorBundle 'tvb' -- COMMENT : Note that the ToricVectorBundle already has a list of pairs (i,j) denoting the codim 1 intersections -- of two top dim cones, with i<j and they are ordered in lexicographic order. So the matrices in 'L' -- will be assigned to the pairs (i,j) in that order, where the matrix A assigned to (i,j) denotes the -- transition -- (e_i^1,...,e_i^k) = (e_j^1,...,e_j^k)* A addBaseChange = method(TypicalValue => ToricVectorBundleKaneyama) addBaseChange (ToricVectorBundleKaneyama,List) := (tvb,L) -> ( -- Extracting data out of tvb pairlist := sort keys tvb#"baseChangeTable"; k := tvb#"rank of the vector bundle"; -- Checking for input errors if #pairlist != #L then error("Expected the number of matrices to match the number of codim 1 Cones."); baseChangeTable := hashTable apply(#pairlist, i -> ( M := L#i; -- Checking for more input errors if not instance(M,Matrix) then error("Expected the transition matrices to be given as rank times rank matrices."); if numColumns M != k or numRows M != k then error("Expected the base change matrices to be k by k matrices."); if det M == 0 then error("The base change matrices must be invertible."); R := ring source M; M = if R === ZZ or R === QQ then promote(M,QQ) else error("Expected base change over ZZ or QQ"); -- Inserting the matrix at the i-th position pairlist#i => M)); -- Writing the new transition matrices into the bundle new ToricVectorBundleKaneyama from { "degreeTable" => tvb#"degreeTable", "baseChangeTable" => baseChangeTable, "ToricVariety" => tvb#"ToricVariety", "number of affine charts" => tvb#"number of affine charts", "dimension of the variety" => tvb#"dimension of the variety", "rank of the vector bundle" => k, "codim1Table" => tvb#"codim1Table", "topConeTable" => tvb#"topConeTable", symbol cache => new CacheTable}) -- PURPOSE : Changing the degrees of the local generators of a given ToricVectorBundleKaneyama to those given in the List -- INPUT : '(tvb,L)', a ToricVectorBundleKaneyama 'tvb' and a list 'L'of n by k matrices over ZZ, one for each -- top dimensional Cone. -- OUTPUT : The ToricVectorBundleKaneyama 'tvb' -- COMMENT : Note that in the ToricVectorBundleKaneyama the top dimensional Cones are already numbered and that the degree -- matrices will be assigned to the Cones in that order. addDegrees = method(TypicalValue => ToricVectorBundleKaneyama) addDegrees (ToricVectorBundleKaneyama,List) := (tvb,L) -> ( -- Extracting data out of tvb tCT := customConeSort keys tvb#"degreeTable"; k := tvb#"rank of the vector bundle"; n := tvb#"dimension of the variety"; -- Checking for input errors if #tCT != #L then error("Number of degree matrices must match the number of top dim cones."); degreeTable := hashTable apply(#tCT, i -> ( M := L#i; -- Checking for more input errors if not instance(M,Matrix) then error("The degrees must be given as dimension times rank matrices."); if ring M =!= ZZ then error("Expected the degrees to be in the ZZ lattice."); if numColumns M != k then error("The number of degrees must match the vector bundle rank."); if numRows M != n then error("The degrees must have the dimension of the underlying toric variety."); -- Inserting the degree matrix tCT#i => M)); -- Writing the new degree table into the bundle new ToricVectorBundleKaneyama from { "degreeTable" => degreeTable, "baseChangeTable" => tvb#"baseChangeTable", "ToricVariety" => tvb#"ToricVariety", "number of affine charts" => tvb#"number of affine charts", "dimension of the variety" => n, "rank of the vector bundle" => k, "codim1Table" => tvb#"codim1Table", "topConeTable" => tvb#"topConeTable", symbol cache => new CacheTable}) -- INPUT : '(tvb,L)', a ToricVectorBundleKlyachko 'tvb' and a list 'L'of 1 by k matrices over ZZ, one for each -- ray of the fan -- OUTPUT : The ToricVectorBundleKlyachko 'tvb' -- COMMENT : Note that the matrices in 'L' will be assigned to the rays in the order they appear in rays tvb addFiltration = method(TypicalValue => ToricVectorBundleKlyachko) addFiltration (ToricVectorBundleKlyachko,List) := (tvb,L) -> ( -- Extracting data out of tvb n := tvb#"number of rays"; k := tvb#"rank of the vector bundle"; R := rays tvb; -- Checking for input errors if n != #L then error("The number of matrices has to match the number of rays of the fan."); if any(L, l -> not instance(l,Matrix)) then error("The filtrations have to be given as matrices."); if any(L, l -> ring l =!= ZZ) then error("The filtrations have to be given as matrices over ZZ."); if any(L, l -> numColumns l != k or numRows l != 1) then error("The filtrations have to be given as 1 times n matrices."); -- Writing the new filtration matrices into the table filtrationMatricesTable := hashTable apply(n, i -> R#i => L#i); -- Computing the list of changes in the filtrations filtrationTable := hashTable apply(pairs filtrationMatricesTable, p -> ( L := flatten entries p#1; L1 := sort unique L; p#0 => hashTable ({(min L1 - 1) => {}} | apply(L1, l -> l => positions(L,e -> e == l))))); -- Writing the new filtration maps and changes tables into the bundle new ToricVectorBundleKlyachko from { "ring" => tvb#"ring", "rayTable" => tvb#"rayTable", "baseTable" => tvb#"baseTable", "filtrationMatricesTable" => filtrationMatricesTable, "filtrationTable" => filtrationTable, "ToricVariety" => tvb#"ToricVariety", "number of affine charts" => tvb#"number of affine charts", "dimension of the variety" => tvb#"dimension of the variety", "rank of the vector bundle" => tvb#"rank of the vector bundle", "number of rays" => tvb#"number of rays", symbol cache => new CacheTable}) -- PURPOSE : Giving the number of affine charts of a ToricVectorBundle -- INPUT : 'tvb', a ToricVectorBundle -- OUTPUT : 'ZZ', the number of affine charts charts = method(TypicalValue => ZZ) charts ToricVectorBundle := tvb -> tvb#"number of affine charts" -- PURPOSE : Checking if the ToricVectorBundleKaneyama fulfills the cocycle condition -- INPUT : 'tvb', a ToricVectorBundleKaneyama -- OUTPUT : 'true' or 'false' cocycleCheck = method(TypicalValue => Boolean) cocycleCheck ToricVectorBundleKaneyama := (cacheValue symbol cocycle)( tvb -> ( -- Extracting data out of tvb n := tvb#"dimension of the variety"; k := tvb#"rank of the vector bundle"; bCT := tvb#"baseChangeTable"; topCones := customConeSort keys tvb#"topConeTable"; L := hashTable {}; -- For each codim 2 Cone computing the list of topCones which have this Cone as a face -- and save the list of indices of these topCones as an element in L for i from 0 to #topCones - 1 do L = merge(hashTable apply(facesAsCones(2,posHull topCones#i), C -> (rays C, linealitySpace C) => {i}),L,(a,b) -> sort join(a,b)); -- Finding the cyclic order of every list of topCones in L and write this cyclic order as a -- list of consecutive pairs L = for l in values L list ( pairings := {}; start := l#0; a := start; l = drop(l,1); i := position(l, e -> dim intersection(posHull topCones#a, posHull topCones#e) == n-1); while i =!= null do ( pairings = pairings | {(a,l#i)}; a = l#i; l = drop(l,{i,i}); i = position(l, e -> dim intersection(posHull topCones#a, posHull topCones#e) == n-1)); if dim intersection(posHull topCones#a, posHull topCones#start) == n-1 then pairings | {(a,start)} else continue); -- Check for every cyclic order of topCones if the product of the corresponding transition -- matrices is the identity all(L, l -> product apply(reverse l, e -> if e#0 > e#1 then inverse bCT#(e#1,e#0) else bCT#e) == map(QQ^k,QQ^k,1)))) -- PURPOSE : Presenting some details of the given ToricVectorBundle -- INPUT : 'tvb', a ToricVectorBundleKaneyama -- OUTPUT : '(A,C)', where 'A' is a hashTable giving the enumeration of the maximal cones with their rays and degree matrix, -- and 'B' gives the transition matrices for the codim 1 pairs -- COMMENT : This function gives the possibility to have a quick overview on the main properties of a ToricVectorBundleKaneyama details = method() details ToricVectorBundle := tvb -> ( if instance(tvb,ToricVectorBundleKaneyama) then (hashTable apply(pairs(tvb#"topConeTable"), p -> ( p#1 => (rays posHull p#0,tvb#"degreeTable"#(p#0)))),tvb#"baseChangeTable") else hashTable apply(rays tvb, r -> r => (tvb#"baseTable"#r,tvb#"filtrationMatricesTable"#r))) -- PURPOSE : Checking if a ToricVectorBundleKaneyama satisfies the regularity conditions of the degrees -- INPUT : 'tvb', a ToricVectorBundleKaneyama -- OUTPUT : 'true' or 'false' -- COMMENT : This function is for checking ToricVectorBundles whose degrees and matrices -- are inserted by hand. Those generated for example by tangentBundle fulfill the -- conditions automatically. regCheck = method(TypicalValue => Boolean) regCheck ToricVectorBundleKaneyama := (cacheValue symbol regCheck)( tvb -> ( -- Extracting the necessary data tCT := customConeSort keys tvb#"topConeTable"; c1T := tvb#"codim1Table"; bCT := tvb#"baseChangeTable"; dT := tvb#"degreeTable"; k := tvb#"rank of the vector bundle"; all(keys bCT, p -> ( -- Taking a pair corresponding to a codim 1 cone, the corresponding transition matrix and its inverse A := bCT#p; B := inverse A; -- Computing the dual of the codim 1 cone C := dualCone posHull c1T#p; -- Check for all pairs of degree vectors of the two top Cones the reg condition all(k, i -> ( ri := (dT#(tCT#(p#1)))_{i}; all(k, j -> ( rj := (dT#(tCT#(p#0)))_{j}; (if A^{i}_{j} != 0 then contains(C,rj-ri) else true) and (if A^{j}_{i} != 0 then contains(C,ri-rj) else true))))))))) ---------------------------------------------------------------------------- -- OPERATIONS ON TORIC VECTOR BUNDLES ---------------------------------------------------------------------------- -- PURPOSE : Returning the base representation of the bundle -- INPUT : 'tvb', a ToricVectorBundleKlyachko -- OUTPUT : A HashTable which gives for each ray of the fan the matrix of the basis base = method(TypicalValue => HashTable) base ToricVectorBundleKlyachko := tvb -> tvb#"baseTable" -- PURPOSE : Returning the filtration matrices of the bundle -- INPUT : 'tvb', a ToricVectorBundleKlyachko -- OUTPUT : A HashTable which gives for each ray of the matrix of the filtration filtration = method(TypicalValue => HashTable) filtration ToricVectorBundleKlyachko := tvb -> tvb#"filtrationMatricesTable" -- PURPOSE : Checking for the descriptions of two given vector bundles in Klyachko's description if they are isomorphic -- INPUT : '(T1,T2)', two ToricVectorBundleKlyachko -- OUTPUT : 'true', if they are isomorphic, 'false' otherwise -- COMMENT : If the check reveals that they are isomorphic, the isomorphism can be obtained with the function isomorphism areIsomorphic = method(TypicalValue => Boolean) areIsomorphic (ToricVectorBundleKlyachko,ToricVectorBundleKlyachko) := (T1,T2) -> ( -- Creating the entries in the cacheTables of the two bundles if they are not yet present if not T1.cache.?isomorphic then ( T1.cache.isomorphic = new MutableHashTable; if not T1.cache.?isoMatrix then T1.cache.isoMatrix = new MutableHashTable); if not T2.cache.?isomorphic then ( T2.cache.isomorphic = new MutableHashTable; if not T2.cache.?isoMatrix then T2.cache.isoMatrix = new MutableHashTable); -- If this pairing has not been checked before, check it now if not T1.cache.isomorphic#?T2 then ( local isoMatrix; T1.cache.isomorphic#T2 = ( -- To be isomorphic, the bundles must be over the same TV, over the same ring and must have the same rank T1#"ToricVariety" == T2#"ToricVariety" and T1#"ring" === T2#"ring" and T1#"rank of the vector bundle" == T2#"rank of the vector bundle" and ( -- If this is the case, extract the filtrations fMT1 := T1#"filtrationMatricesTable"; fMT2 := T2#"filtrationMatricesTable"; bT1 := T1#"baseTable"; bT2 := T2#"baseTable"; bundleRing := T1#"ring"; R := rays T1; r0 := R#0; R = drop(R,1); -- Check for the first ray, if they have the same filtration numbers and dimensions of the filtration steps sort fMT1#r0 == sort fMT2#r0 and ( -- if this is the case, resort both base matrices according to the filtration and compute the possible isomorphism A := submatrix'(sort(promote(fMT1#r0,bundleRing) || bT1#r0),{0},); B := submatrix'(sort(promote(fMT2#r0,bundleRing) || bT2#r0),{0},); isoMatrix = B*(A^-1); -- check for the remaining rays if the filtrations are identical all(R, r -> ( f1 := flatten entries fMT1#r; f2 := flatten entries fMT2#r; sort f1 == sort f2 and all(unique f1, e -> ( E1 := (bT1#r)_(positions(f1, i -> i <= e)); E2 := (bT2#r)_(positions(f2, i -> i <= e)); image(isoMatrix*E1) == image E2))))))); -- If they are isomorphic then write the isomorphism into the cache of both bundles if T1.cache.isomorphic#T2 then ( T1.cache.isoMatrix#T2 = isoMatrix; T2.cache.isomorphic#T1 = true; T2.cache.isoMatrix#T1 = isoMatrix^-1)); T1.cache.isomorphic#T2) -- PURPOSE : Obtaining the isomorphism if two vector bundles are isomorphic -- INPUT : '(T1,T2)', two ToricVectorBundleKlyachko -- OUTPUT : The isomorphism, if they are isomorphic, otherwise an error --isomorphism = method(TypicalValue => Matrix) isomorphism (ToricVectorBundleKlyachko,ToricVectorBundleKlyachko) := o -> (T1,T2) -> ( if not areIsomorphic(T1,T2) then error("The bundles are not isomorphic"); T1.cache.isoMatrix#T2) -- PURPOSE : Compute the Euler characteristic eulerChi = method(TypicalValue => ZZ) -- INPUT : '(T,u)', where 'T' is a ToricVectorBundle and 'u' is a one column matrix over ZZ giving a degree vector -- OUTPUT : The Euler characteristic of the Cech complex at degree 'u' eulerChi (Matrix,ToricVectorBundle) := (u,T) -> ( if not T.cache.?eulerChi then T.cache.eulerChi = new MutableHashTable; if not T.cache.eulerChi#?u then ( n := T#"dimension of the variety"; -- Compute the Cech complex and compute the alternating sum of the dimensions if instance(T,ToricVectorBundleKlyachko) then T.cache.eulerChi#u = sum apply(n+1, i -> (-1)^i * sum values (cechComplex(i,T,u))#1) else T.cache.eulerChi#u = sum apply(n+2, i -> (-1)^i * numColumns (cechComplex(i,T,u))#1)); T.cache.eulerChi#u) -- INPUT : 'T', a ToricVectorBundle -- OUTPUT : The Euler characteristic of the bundle eulerChi ToricVectorBundle := T -> ( -- Compute the set of degrees with possible cohomology L := latticePoints deltaE T; -- Sum up their characteristics sum apply(L, l -> eulerChi(l,T))) -- PURPOSE : Returning the table of codimension 1 cones of the underlying fan -- INPUT : 'T', a ToricVectorBundleKaneyama -- OUTPUT : a HashTable codim1Table = method(TypicalValue => HashTable) codim1Table ToricVectorBundleKaneyama := T -> T#"codim1Table" -- PURPOSE : Computing the cohomology group of a given ToricVectorBundle -- INPUT : '(i,T,weight)', 'i' for the 'i'th cohomology group, 'T' a ToricVectorBundle, and 'weight' the degree -- OUTPUT : 'ZZ', the graded module of the degree 'weight' part of the 'i'th cohomology group of 'T' cohomology(ZZ,ToricVectorBundle,Matrix) := opts -> (i,T,weight) -> cohom(i,T,weight) -- PURPOSE : Computing the cohomology group of a given ToricVectorBundle -- INPUT : '(i,T,P)', 'i' for the 'i'th cohomology group, 'T' a ToricVectorBundle, and 'P' a list of degrees -- OUTPUT : 'List', the list of the graded modules of the corresponding degree parts of the cohomology group which are non zero cohomology(ZZ,ToricVectorBundle,List) := opts -> (i,T,P)-> ( if opts.Degree == 1 then print ("Number of degrees to calculate: "|(toString(#P))); for j in P list ( if opts.Degree == 1 then << "." << flush; j = cohomology(i,T,j); if j != 0 then j else continue)) -- PURPOSE : Computing the cohomology group of a given ToricVectorBundle -- INPUT : '(i,T)', 'i' for the 'i'th cohomology group, 'T' a ToricVectorBundle -- OUTPUT : the group as a graded module where the generators have the corresponding degree of the weight vector -- COMMENT : if the option "Degree" => 1 is given then it displays the number of degrees to calculate cohomology(ZZ,ToricVectorBundle) := opts -> (i,T)-> ( L := cohomology(i,T,latticePoints deltaE T,Degree => opts.Degree); if L == {} then (ring T)^0 else directSum L) -- PURPOSE : Computing the rank of the cohomology group of a given ToricVectorBundle -- INPUT : '(i,S)', 'i' for the 'i'th cohomology group, 'S' a Sequence of ToricVectorBundle and a weight vector -- OUTPUT : 'ZZ', the rank of the degree 'weight' part of the 'i'th cohomology group of the bundle hh(ZZ,Sequence) := (i,S) -> ( -- Checking for input errors if #S != 2 then error("The Sequence has to contain a toric vector bundle and a weight vector."); if not instance(S#1,Matrix) then error("The second argument has to be a weight vector given by a matrix."); if not instance(S#0,ToricVectorBundleKaneyama) and not instance(S#0,ToricVectorBundleKlyachko) then error("The first argument has to be a toric vector bundle."); (T,u) := S; rank cohomology(i,T,u)) -- PURPOSE : Computing the rank of the cohomology group of a given ToricVectorBundle -- INPUT : '(i,T)', 'i' for the 'i'th cohomology group, 'T' a ToricVectorBundle -- OUTPUT : 'ZZ', the rank of the 'i'th cohomology group hh(ZZ,ToricVectorBundle) := ZZ => (i,T) -> rank cohomology(i,T) -- PURPOSE : Computing the coker bundle of a toric vector bundle -- INPUT : '(T,M)', where 'T' is a ToricVectorBundleKlyachko and 'M' a matrix with the bundle space as target -- OUTPUT : The bundle given by the cokernels of the filtrations coker (ToricVectorBundleKlyachko,Matrix) := (T,M) -> ( k := T#"rank of the vector bundle"; tRing := T#"ring"; -- Checking for input errors if k != numRows M then error("The source of the matrix has to be the vector bundle."); if tRing =!= ring M then error("Matrix and bundle have to be over the same ring."); -- Computing the map from the bundle to the kernel N := transpose mingens ker transpose M; -- Computing a basis of the cokernel coKerGens := mingens image N; newRank := numColumns coKerGens; bT := T#"baseTable"; fT := T#"filtrationTable"; -- Computing the new baseTable with filtrations bT = hashTable apply(keys bT, j -> ( fTj := drop(sort keys fT#j,1); cols := {}; oldCoKer := map(tRing^newRank,tRing^0,0); -- Going through the filtration steps and computing the cokernel for each step j => apply(fTj, i -> ( cols = cols | fT#j#i; -- Computing the cokernel A := N * (bT#j)_cols; -- Representing this in the basis chosen gkMA := (gens ker (coKerGens | A))^{0..newRank-1}; -- Selecting the new basis elements that appear in this filtration step gkMA = mingens (image(oldCoKer | gkMA) / image oldCoKer); -- Appending these new vectors oldCoKer = oldCoKer |gkMA; -- appending the filtration step number (gkMA,matrix {toList(numColumns gkMA:i)}))))); -- Generating the new filtration matrices and tables fMT := hashTable apply(pairs bT, p -> p#0 => matrix {apply(p#1,last)}); fT = hashTable apply(pairs fMT, p -> ( L := flatten entries p#1; L1 := sort unique L; p#0 => hashTable ({min L1 - 1 => {}} | apply(L1, l -> l => positions(L,e -> e == l))))); bT = hashTable apply(pairs bT, p -> p#0 => matrix {apply(p#1,first)}); Tnew := new ToricVectorBundleKlyachko from { "ring" => T#"ring", "rayTable" => T#"rayTable", "baseTable" => bT, "filtrationMatricesTable" => fMT, "filtrationTable" => fT, "ToricVariety" => T#"ToricVariety", "number of affine charts" => T#"number of affine charts", "dimension of the variety" => T#"dimension of the variety", "rank of the vector bundle" => newRank, "number of rays" => T#"number of rays", symbol cache => new CacheTable}; if T.cache.?isVB and T.cache.isVB then Tnew.cache.isVB = T.cache.isVB; Tnew) -- PURPOSE : Computing the cotangent bundle on a smooth, pure, and full dimensional Toric Variety cotangentBundle = method(Options => {"Type" => "Klyachko"}) -- INPUT : 'F', a smooth, pure, and full dimensional Fan -- OUTPUT : 'tvb', a ToricVectorBundle cotangentBundle Fan := opts -> F -> ( if opts#"Type" == "Klyachko" then dual tangentBundleKlyachko F else if opts#"Type" == "Kaneyama" then cotangentBundleKaneyama F else error("Expected Type to be Klyachko or Kaneyama.")) -- PURPOSE : Computing the polytope deltaE in the degree space such that outside this polytope -- every cohomology is 0 deltaE = method() -- INPUT : 'tvb', a ToricVectorBundle -- OUTPUT : a Polyhedron deltaE ToricVectorBundle := (cacheValue symbol deltaE)( tvb -> ( if not isComplete tvb#"ToricVariety" then error("The toric variety needs to be complete."); n := tvb#"dimension of the variety"; if instance(tvb,ToricVectorBundleKaneyama) then ( -- Extracting necessary data raylist := rays tvb; rl := #raylist; k := tvb#"rank of the vector bundle"; tCT := keys tvb#"topConeTable"; dT := tvb#"degreeTable"; -- Creating an index table, for each ray the first top cone containing it raytCTindex := hashTable apply(#raylist, r -> r => position(tCT, C -> contains(posHull C_0,raylist#r))); raylist = transpose matrix {raylist}; -- Get the subsets of 'n' elements in 'rl' sset := subsets(rl,n); jList := {{}}; -- Get all different combinations of choices of variety dimension many degree vectors for i from 0 to n-1 do jList = flatten apply(jList, l -> apply(k, j -> l|{j})); M := map(QQ^1,QQ^n,0); v := map(QQ^1,QQ^1,0); -- For every 'n' in 'l' subset and any combination in jList get the intersection of the dual cones -- of the corresponding rays. If this is a non-empty compact polytope then add the vertices to the -- list L L := unique flatten apply(sset, s -> ( unique for j in jList list ( N := matrix apply(n, i -> {raylist^{s#i},raylist^{s#i} * ((dT#(tCT#(raytCTindex#(s#i))))_{j#i})}); w := N_{n}; N = submatrix'(N,{n}); P := polyhedronFromHData(M,v,N,w); if isCompact P and (not isEmpty P) then vertices P else continue))); -- Make a matrix of all the vertices in L M = matrix {L}; convexHull M) else ( -- Extracting necessary data rayTable := tvb#"rayTable"; l := #rayTable; fMT := hashTable apply(pairs tvb#"filtrationMatricesTable", (i,j) -> (j = flatten entries j; i => matrix{{-(min j),max j}})); sset1 := select(subsets(rays tvb,n), s -> rank matrix {s} == n); convexHull matrix {apply(sset1, s -> ( M := transpose matrix {apply(s, r -> (-r | r) || (fMT#r))}; vertices polyhedronFromHData(M_{0..n-1},M_{n})))}))) -- INPUT : '(tvb1,tvb2)', two ToricVectorBundle over the same Fan -- OUTPUT : 'tvb', a ToricVectorBundle which is the direct sum ToricVectorBundle.directSum = args -> ( args = toList args; T := args#0; scan(drop(args,1), E -> T = T ++ E); T) ToricVectorBundle ++ ToricVectorBundle := (tvb1,tvb2) -> ( -- Checking for input errors if tvb1#"ToricVariety" != tvb2#"ToricVariety" then error("Expected the bundles to be over the same toric variety."); -- Extracting data out of tvb1 and tvb2 k1 := tvb1#"rank of the vector bundle"; k2 := tvb2#"rank of the vector bundle"; if instance(tvb1,ToricVectorBundleKaneyama) and instance(tvb2,ToricVectorBundleKaneyama) then ( -- Generating the trivial bundle of dimension k1+k2 E := makeVBKaneyama(k1 + k2,tvb1#"ToricVariety"); -- Computing the new degree table and transition matrices and writing the degrees and transition matrices into the bundle E = new ToricVectorBundleKaneyama from { "degreeTable" => merge(tvb1#"degreeTable",tvb2#"degreeTable", (a,b) -> a|b), "baseChangeTable" => merge(tvb1#"baseChangeTable",tvb2#"baseChangeTable", (a,b) -> a++b), "ToricVariety" => E#"ToricVariety", "number of affine charts" => E#"number of affine charts", "dimension of the variety" => E#"dimension of the variety", "rank of the vector bundle" => k1 + k2, "codim1Table" => E#"codim1Table", "topConeTable" => E#"topConeTable", symbol cache => new CacheTable}; if (tvb1.cache.?regCheck and tvb2.cache.?regCheck and tvb1.cache.regCheck and tvb2.cache.regCheck and ( tvb1.cache.?cocycle and tvb2.cache.?cocycle and tvb1.cache.cocycle and tvb2.cache.cocycle)) then ( E.cache.regCheck = true; E.cache.cocycle = true); E) else if instance(tvb1,ToricVectorBundleKlyachko) and instance(tvb2,ToricVectorBundleKlyachko) then ( k := k1 + k2; F := tvb1#"ToricVariety"; R := tvb1#"ring"; tvb := makeVBKlyachko(k,F); fT1 := tvb1#"filtrationMatricesTable"; fT2 := tvb2#"filtrationMatricesTable"; bT1 := tvb1#"baseTable"; bT2 := tvb2#"baseTable"; filtrationTable := apply(rays tvb, r -> fT1#r | fT2#r); baseTable := apply(rays tvb, r -> bT1#r ++ bT2#r); tvb = addFiltration(tvb,filtrationTable); tvb = addBase(tvb,baseTable); if tvb1.cache.?isVB and tvb2.cache.?isVB and tvb1.cache.isVB and tvb2.cache.isVB then tvb.cache.isVB = true; tvb) else error("The two bundles have to be in the same description.")) -- ToricVectorBundleKlyachko ++ ToricVectorBundleKlyachko := (tvb1,tvb2) -> ( -- -- Extracting data out of tvb1 and tvb2 -- k1 := (tvb1#"rank of the vector bundle"); -- k2 := (tvb2#"rank of the vector bundle"); -- k := k1 + k2; -- F := tvb1#"ToricVariety"; -- R := tvb1#"ring"; -- tvb := makeVBKlyachko(k,F); -- fT1 := tvb1#"filtrationMatricesTable"; -- fT2 := tvb2#"filtrationMatricesTable"; -- bT1 := tvb1#"baseTable"; -- bT2 := tvb2#"baseTable"; -- filtrationTable := apply(rays tvb, r -> fT1#r | fT2#r); -- baseTable := apply(rays tvb, r -> bT1#r ++ bT2#r); -- tvb = addFiltration(tvb,filtrationTable); -- tvb = addBase(tvb,baseTable); -- if tvb1.cache.?isVB and tvb2.cache.?isVB and tvb1.cache.isVB and tvb2.cache.isVB then tvb.cache.isVB = true; -- tvb) -- PURPOSE : Computing the dual bundle to a given ToricVectorBundle -- INPUT : 'tvb', a ToricVectorBundle -- OUTPUT : the dual ToricVectorBundle dual ToricVectorBundle := {} >> opts -> tvb -> ( if instance(tvb,ToricVectorBundleKaneyama) then ( -- Inverting the degrees and the transition matrices degreeTable := hashTable apply(pairs tvb#"degreeTable", p -> p#0 => -(p#1)); baseChangeTable := hashTable apply(pairs tvb#"baseChangeTable", p -> p#0 => transpose inverse p#1); -- Writing the inverted tables into the bundle E := new ToricVectorBundleKaneyama from { "degreeTable" => degreeTable, "baseChangeTable" => baseChangeTable, "ToricVariety" => tvb#"ToricVariety", "number of affine charts" => tvb#"number of affine charts", "dimension of the variety" => tvb#"dimension of the variety", "rank of the vector bundle" => tvb#"rank of the vector bundle", "codim1Table" => tvb#"codim1Table", "topConeTable" => tvb#"topConeTable", symbol cache => new CacheTable}; if tvb.cache.?regCheck and tvb.cache.regCheck and tvb.cache.?cocycle and tvb.cache.cocycle then ( E.cache.regCheck = true; E.cache.cocycle = true); E) else ( -- Inverting the filtration. If the filtration has d steps then the new n-th boundary is -(d-n+1th boundary)-1 and the n-th step is the -- d-n+2 th step fT := hashTable apply(pairs tvb#"filtrationTable", (r,e) -> r => ( newkeys := reverse drop(sort keys e, 1); newvalues := {{}} | apply(newkeys, k -> e#k); newkeys = {-first newkeys - 1} | -newkeys; hashTable apply(#newkeys, i -> newkeys#i => newvalues#i) ) ); fMT := hashTable apply(pairs fT, q -> q#0 => (q1new:= hashTable flatten apply(pairs q#1, p -> apply(p#1, i -> i => p#0)); matrix {apply(#q1new, j -> q1new#j)})); -- The orthogonal complement is given by the transpose of the inverse matrix bT := hashTable apply(pairs tvb#"baseTable", p -> p#0 => transpose inverse p#1); T := new ToricVectorBundleKlyachko from { "ring" => tvb#"ring", "rayTable" => tvb#"rayTable", "baseTable" => bT, "filtrationMatricesTable" => fMT, "filtrationTable" => fT, "ToricVariety" => tvb#"ToricVariety", "number of affine charts" => tvb#"number of affine charts", "dimension of the variety" => tvb#"dimension of the variety", "rank of the vector bundle" => tvb#"rank of the vector bundle", "number of rays" => tvb#"number of rays", symbol cache => new CacheTable}; if tvb.cache.?isVB and tvb.cache.isVB then T.cache.isVB = true; T)) -- PURPOSE : Checking if a given List of possible degree vectors admits a Decomposition in torus eigenspaces that give the filtration -- INPUT : '(T,L)', where 'T' is a ToricVectorBundleKlyachko and 'L' is a List where the i-th entry is either a matrix or a List of -- matrices of possible degree vectors for the i-th cone in maxCones -- OUTPUT : 'true' if a selection of degrees for each maximal cone admits a decomposition, 'false' otherwise existsDecomposition = method() existsDecomposition (ToricVectorBundleKlyachko,List) := (T,L) -> ( -- Checking if the list contains only matrices and lists and converting the former into a list with this matrix L = apply(L, l -> if instance(l,List) then l else if instance(l,Matrix) then {l} else error("The elements of the list have to be either matrices or lists of them.")); if not T.cache.?degreesList then T.cache.degreesList = {}; mC := maxCones T; mC = apply(mC, C -> (C = (rays C); apply(numColumns C, i -> C_{i}))); -- Checking for input errors if #mC != #L then error("There has to be a degree matrix or list of degree matrices for each maximal cone of the fan."); -- Check if any combination of matrices in L has already been checked and thus saved in the cache if any(T.cache.degreesList, dl -> all(toList(0..#dl-1), i -> (set L#i)#?(dl#i))) then true -- otherwise for each maximal cone check the decomposition criterion else ( -- Add to each Cone the list of possible degrees mC = apply(#mC, i -> (mC#i,L#i)); allRaysTable := tableForAllRays T; n := T#"dimension of the variety"; k := rank T; R := T#"ring"; -- Recursive function that runs through all possible combinations of filtration steps for the rays of a cone recursiveCheck := (fList,Es,D) -> ( -- if there is still a list of filtration steps, call recursiveCheck again for each entry if fList != {} then ( Lr := fList#0#1; r := fList#0#0; all(Lr, l -> recursiveCheck(drop(fList,1),intersectMatrices(Es,l#1),select(D, d -> (d * r)_(0,0) <= l#0)))) -- otherwise we have a choice of filtration steps and check the condition else numColumns Es == #D); -- The check for the criterion begins with the complete bundle E := map(R^k,R^k,1); -- For each cone check if there is one of the degree matrices that admits a decomposition L = for C in mC list ( fList := apply(C#0, r -> (r,allRaysTable#r)); d := select(1,C#1, D -> ( D = promote(D,QQ); D = apply(numColumns D, i -> transpose D_{i}); recursiveCheck(fList,E,D))); -- If there is one that admits a decomposition return that, otherwise return the empty set for L if d == {} then break {} else d#0); -- If there is a combination then save it to the cache if L != {} then ( if not T.cache.?isVB then T.cache.isVB = true; T.cache.degreesList = T.cache.degreesList|{L}); L != {})) -- PURPOSE : Computing the 'l'-th exterior power of a ToricVectorBundle -- INPUT : '(l,tvb)', where 'l' is a strictly positive integer and 'tvb'is a TorcVectorBundle -- OUTPUT : 'tvb', a ToricVectorBundle which is the 'l'-th exterior power exteriorPower (ZZ,ToricVectorBundle) := ToricVectorBundle => opts -> (l,tvb) -> ( k := tvb#"rank of the vector bundle"; -- Checking for input errors if l < 0 then error("The power has to be positive."); -- Generating the list of 'l'-tuples of 0..k-1 and the corresponding index table ind := subsets(k,l); indtable := hashTable apply(#ind, i -> ind#i => i); if instance(tvb,ToricVectorBundleKlyachko) then ( if l == 0 then toricVectorBundle(1,tvb#"ToricVariety") else if l > k then toricVectorBundle(0,tvb#"ToricVariety") else ( -- Extracting data baseTable := tvb#"baseTable"; filtrationTable := tvb#"filtrationMatricesTable"; Rs := rays tvb; R := tvb#"ring"; F := tvb#"ToricVariety"; -- Computing the 'l'-th exterior powers of the base matrices baseTable = apply(Rs, r -> ( B := baseTable#r; M := mutableMatrix(R,#ind,#ind); for j in ind do for k in ind do M_(indtable#k,indtable#j) = det(B^k_j); matrix M)); -- Computing the 'l'-th exterior power of the filtration matrices filtrationTable = apply(Rs, r -> ( filt := filtrationTable#r; matrix {apply(ind, j -> ( sum flatten entries filt_j))})); T := makeVBKlyachko(#ind,F,baseTable,filtrationTable); if tvb.cache.?isVB and tvb.cache.isVB then T.cache.isVB = true; T)) else ( if l == 0 then toricVectorBundle(1,tvb#"ToricVariety","Type" => "Kaneyama") else if l > k then toricVectorBundle(0,tvb#"ToricVariety","Type" => "Kaneyama") else ( -- Computing the 'l'-th exterior powers of the transition matrices baseChangeTable := hashTable apply(pairs tvb#"baseChangeTable", p -> p#0 => matrix apply(ind, j -> apply(ind, k -> det (p#1)^j_k))); -- Computing the 'l'-th exterior power of the degrees degreeTable := hashTable apply(pairs tvb#"degreeTable", p -> p#0 => matrix {apply(ind, j -> (p#1)_j * matrix toList(l:{1}))}); E := new ToricVectorBundleKaneyama from { "degreeTable" => degreeTable, "baseChangeTable" => baseChangeTable, "ToricVariety" => tvb#"ToricVariety", "number of affine charts" => tvb#"number of affine charts", "dimension of the variety" => tvb#"dimension of the variety", "rank of the vector bundle" => #ind, "codim1Table" => tvb#"codim1Table", "topConeTable" => tvb#"topConeTable", symbol cache => new CacheTable}; if tvb.cache.?regCheck and tvb.cache.regCheck and tvb.cache.?cocycle and tvb.cache.cocycle then ( E.cache.regCheck = true; E.cache.cocycle = true); E))) -- PURPOSE : Returning the underlying fan of a toric vector bundle -- INPUT : 'T', a ToricVectorBundleKaneyama -- OUTPUT : a Fan fan ToricVectorBundle := T -> T#"ToricVariety" -- PURPOSE : Finding all possible sets of weight vectors for each maximal cone in the fan that admit the -- filtration steps on the rays -- INPUT : 'T', a ToricVectorBundleKlyachko -- OUTPUT : a List, where the i-th entry is the list of possible weight matrices for the i-th cone in maxCones T findWeights = method(TypicalValue => List) findWeights ToricVectorBundleKlyachko := (cacheValue symbol weights)( T -> ( -- Get the maximal cones and save their rays mC := maxCones T; mC = apply(mC, C -> (C = (rays C); apply(numColumns C, i -> C_{i}))); n := T#"dimension of the variety"; k := rank T; -- Recursive function that goes through the rays and checks for the current ray which filtration steps are possible and for -- these calls itself again -- E is the intersection of filtrations of the rays considered so far, L is the list of remaining rays with filtration steps not chosen so far, -- R is the list of filtration steps not chosen before for rays already handled, these are the possible steps for the next column and newColumn -- is the already created part of the new column recursiveColumnsConstructer := (E,L,R,newColumn) -> ( if L != {} then ( l := L#0; L = drop(L,1); flatten for e in unique l list ( -- Check if e admits an intersection of the filtrations if ker(E|e#1) != 0 then ( -- if so call the function again for the next ray i := position(l, le -> le == e); recursiveColumnsConstructer(intersectMatrices(E,e#1),L,R|{drop(l,{i,i})},newColumn|{e#0})) else continue)) else {(R,newColumn)}); -- Recursive function that generates the columns (filtration combinations for a weight vector) by calling the columns constructor and then, if -- this has created columns, call it self again with the list of remaining filtration steps recursiveMatricesConstructer := (Elist,L,M) -> ( Lnew := recursiveColumnsConstructer(Elist#0#1,L,{},{Elist#0#0}); if #L#0 != 1 then flatten apply(Lnew, (f,s) -> recursiveMatricesConstructer(drop(Elist,1),f,M|{s})) else apply(Lnew, (f,s) -> M|{s})); fMT := T#"filtrationMatricesTable"; bT := T#"baseTable"; bundleRing := T#"ring"; allRaysTable := tableForAllRays T; apply(mC, C -> ( -- For each maximal cone compute the possible weightvector matrices L := apply(C, r -> allRaysTable#r); E := L#0; -- Compute the possible combinations of filtration steps Flist := recursiveMatricesConstructer(E,drop(L,1),{}); Flist = apply(Flist, m -> promote(transpose matrix m,QQ)); R := promote(transpose matrix {C},QQ); Rrank := rank R; -- Check if this combination admits a weightvector matrix if Rrank != n then ( M := R^{0..Rrank-1}; for F in Flist list ( D := systemSolver(M,F^{0..Rrank-1}); if (try(lift(D,ZZ); true) else false) and R*D == F then lift(D,ZZ) else continue)) else ( Rn := inverse R^{0..n-1}; for F in Flist list ( Dn := Rn * (F^{0..Rrank-1}); if (try(lift(Dn,ZZ); true) else false) and R*Dn == F then lift(Dn,ZZ) else continue)))))) -- PURPOSE : Generating the graded Ring for the cohomology groups -- INPUT : 'T', a ToricVectorBundle -- OUTPUT : the ring of the bundle with degree space the lattice of the variety ring ToricVectorBundle := (cacheValue symbol gradedRing)( T -> ( if instance(T,ToricVectorBundleKlyachko) then (T#"ring")[DegreeRank => T#"dimension of the variety"] else QQ[DegreeRank => T#"dimension of the variety"])) -- PURPOSE : Computing the image bundle of a toric vector bundle -- INPUT : '(T,M)', where 'T' is a ToricVectorBundleKlyachko and 'M' a matrix with the bundle space as its source -- OUTPUT : The bundle given by the images of the filtrations image (ToricVectorBundleKlyachko,Matrix) := (T,M) -> ( k := T#"rank of the vector bundle"; tRing := T#"ring"; -- Checking for input errors if k != numColumns M then error("The source of the matrix has to be the vector bundle."); if tRing =!= ring M then error("The matrix and the bundle have to be over the same ring."); -- Compute a basis of the image Mgens := mingens image M; ranknew := numColumns Mgens; bT := T#"baseTable"; fT := T#"filtrationTable"; -- for each ray compute the image of the filtration bT = hashTable apply(keys bT, j -> ( fTj := drop(sort keys fT#j,1); cols := {}; oldImage := map(tRing^ranknew,tRing^0,0); -- for each filtration step compute the image j => apply(fTj, i -> ( cols = cols | fT#j#i; -- take the image of the i-th filtration A := M * (bT#j)_cols; -- Represent this in the basis chosen gkMA := (gens ker (Mgens | A))^{0..ranknew-1}; -- Select the new basis vectors of the filtration gkMA = mingens (image(oldImage | gkMA) / image oldImage); -- and add them to the matrix oldImage = oldImage |gkMA; -- save the new matrix and filtration step (gkMA,matrix {toList(numColumns gkMA:i)}))))); -- Generate the new filtration matrices and tables fMT := hashTable apply(pairs bT, p -> p#0 => matrix {apply(p#1,last)}); fT = hashTable apply(pairs fMT, p -> ( L := flatten entries p#1; L1 := sort unique L; p#0 => hashTable ({(min L1-1) => {}} | apply(L1, l -> l => positions(L,e -> e == l))))); bT = hashTable apply(pairs bT, p -> p#0 => matrix {apply(p#1,first)}); Tnew := new ToricVectorBundleKlyachko from { "ring" => T#"ring", "rayTable" => T#"rayTable", "baseTable" => bT, "filtrationMatricesTable" => fMT, "filtrationTable" => fT, "ToricVariety" => T#"ToricVariety", "number of affine charts" => T#"number of affine charts", "dimension of the variety" => T#"dimension of the variety", "rank of the vector bundle" => ranknew, "number of rays" => T#"number of rays", symbol cache => new CacheTable}; if T.cache.?isVB and T.cache.isVB then Tnew.cache.isVB = true; Tnew) -- PURPOSE : Check for a ToricVectorBundleKlyachko if it is general -- INPUT : 'tvb', a ToricVectorBundleKlyachko -- OUTPUT : 'true' or 'false' -- COMMENT : A toricVectorBundle is general if for every generating cone 'C' the following holds: -- For every choice of filtration steps i_1,...,i_n for the rays r_1,..,r_n of C -- codim \bigcap E^r_j(i_j) = min {\sum codim E^r_j(i_j),rank E} -- holds. isGeneral = method() isGeneral ToricVectorBundleKlyachko := (cacheValue symbol isGeneral)( tvb -> ( fT := tvb#"filtrationMatricesTable"; fT = hashTable apply(pairs fT, p -> p#0 => flatten entries p#1); bT := tvb#"baseTable"; L := hashTable apply(pairs fT, (j,q) -> j => apply(sort unique q, i -> (bT#j)_(positions(fT#j, e -> e <= i)))); -- recursive function to check every combination of filtration steps recursiveCheck := (L,Es) -> ( -- if there is still a list of filtration steps, call recursiveCheck again for each entry if L != {} then all(L#0, l -> recursiveCheck(drop(L,1),Es|{l})) -- otherwise we have a choice of filtration steps and check the condition else ( n := numRows Es#0; codimSum := sum apply(Es, A -> n - numColumns A); codimSum = min(codimSum,n); R := ring Es#0; E := map(R^n,R^n,1); Es = select(Es, e -> numColumns e != n); scan(Es, A -> E = intersectMatrices(E,A)); n - numColumns E == codimSum)); F := maxCones tvb#"ToricVariety"; Frays := rays tvb#"ToricVariety"; all(F, C -> ( C = Frays_C; C = apply(numColumns C, i -> C_{i}); recursiveCheck(apply(C, r -> L#r),{}))))) -- PURPOSE : Checking if the data in T in fact defines a vectorbundle, i.e., satisfies the decomposition condition or -- regularity and cocycle condition -- INPUT : 'T', a ToricVectorBundle -- OUTPUT : 'true' if 'T' is fact a bundle, 'false' otherwise isVectorBundle = method() isVectorBundle ToricVectorBundle := (cacheValue symbol isVB)( T -> ( if instance(T,ToricVectorBundleKlyachko) then ( L := findWeights T; all(L, l -> l != {}) and existsDecomposition(T,L)) else regCheck T and cocycleCheck T)) -- PURPOSE : Computing the kernel bundle of a toric vector bundle -- INPUT : '(T,M)', where 'T' is a ToricVectorBundleKlyachko and 'M' a matrix with the bundle space as source -- OUTPUT : The bundle given by the kernels of the filtrations ker (ToricVectorBundleKlyachko,Matrix) := opts -> (T,M) -> ( k := T#"rank of the vector bundle"; tRing := T#"ring"; -- Checking for input errors if k != numColumns M then error("The source of the matrix has to be the vector bundle."); if tRing =!= ring M then error("Matrix and bundle have to be over the same ring."); -- Compute a basis of the kernel M = mingens ker M; ranknew := numColumns M; bT := T#"baseTable"; fT := T#"filtrationTable"; -- Compute the new filtration for each ray bT = hashTable apply(keys bT, j -> ( fTj := drop(sort keys fT#j,1); cols := {}; oldKer := map(tRing^ranknew,tRing^0,0); -- compute each filtration step j => apply(fTj, i -> ( cols = cols | fT#j#i; A := (bT#j)_cols; -- Represent the kernel intersected with the actual filtration step in the basis chosen gkMA := (gens ker (M | A))^{0..ranknew-1}; -- Select the "new" vectors gkMA = mingens (image(oldKer | gkMA) / image oldKer); oldKer = oldKer |gkMA; -- Save the new vectors and the filtration step (gkMA,matrix {toList(numColumns gkMA:i)}))))); -- Compute the filtration matrices and tables fMT := hashTable apply(pairs bT, p -> p#0 => matrix {apply(p#1,last)}); fT = hashTable apply(pairs fMT, p -> ( L := flatten entries p#1; L1 := sort unique L; p#0 => hashTable ({min L1 - 1 => {}} | apply(L1, l -> l => positions(L,e -> e == l))))); bT = hashTable apply(pairs bT, p -> p#0 => matrix {apply(p#1,first)}); Tnew := new ToricVectorBundleKlyachko from { "ring" => T#"ring", "rayTable" => T#"rayTable", "baseTable" => bT, "filtrationMatricesTable" => fMT, "filtrationTable" => fT, "ToricVariety" => T#"ToricVariety", "number of affine charts" => T#"number of affine charts", "dimension of the variety" => T#"dimension of the variety", "rank of the vector bundle" => ranknew, "number of rays" => T#"number of rays", symbol cache => new CacheTable}; if T.cache.?isVB and T.cache.isVB then Tnew.cache.isVB = true; Tnew) -- PURPOSE : Returning the maximal cones of the underlying fan -- INPUT : 'T', a ToricVectorBundle -- OUTPUT : a List of Cones maxCones ToricVectorBundle := T -> ( TV := T#"ToricVariety"; TR := rays TV; TL := linealitySpace TV; mC := maxCones TV; sort apply(mC, c -> posHull(TR_c, TL)) -- sort maxCones T#"ToricVariety" ) -- PURPOSE : Compute a random deformation of a ToricVectorBundleKlyachko randomDeformation = method(TypicalValue => ToricVectorBundleKlyachko) -- INPUT : '(tvb,l,h)', where 'tvb' is a ToricVectorBundleKlyachko, 'l' and 'h' are integers -- OUTPUT : a ToricVectorBundleKlyachko, a random deformation -- COMMENT : Simply replaces the base matrices by random matrices of full rank with entries between -- 'l' and 'h' randomDeformation (ToricVectorBundleKlyachko,ZZ,ZZ) := (tvb,l,h) -> ( -- Checking for input errors if l > h then error("Expected the first integer to be less or equal than the second integer."); k := tvb#"rank of the vector bundle"; -- For each ray generate a new k by k matrix of full rank with entries between 'l' and 'h' bT := hashTable apply(pairs tvb#"baseTable", p -> ( A := 0 * p#1; while det A == 0 do A = generateRandomMatrix(k,k,l,h); p#0 => promote(A,tvb#"ring"))); -- Keep the old filtration new ToricVectorBundleKlyachko from { "ring" => tvb#"ring", "rayTable" => tvb#"rayTable", "baseTable" => bT, "filtrationMatricesTable" => tvb#"filtrationMatricesTable", "filtrationTable" => tvb#"filtrationTable", "ToricVariety" => tvb#"ToricVariety", "number of affine charts" => tvb#"number of affine charts", "dimension of the variety" => tvb#"dimension of the variety", "rank of the vector bundle" => tvb#"rank of the vector bundle", "number of rays" => tvb#"number of rays", symbol cache => new CacheTable}) -- INPUT : '(tvb,h)', where 'tvb' is a ToricVectorBundleKlyachko and 'h' an integer -- OUTPUT : a ToricVectorBundleKlyachko, a random deformation -- COMMENT : Simply replaces the base matrices by random matrices of full rank with entries between -- 0 and 'h' randomDeformation (ToricVectorBundleKlyachko,ZZ) := (tvb,h) -> randomDeformation(tvb,0,h) -- PURPOSE : Returning the rank of the vector bundle -- INPUT : 'T', a ToricVectorBundle rank ToricVectorBundle := T -> T#"rank of the vector bundle" -- PURPOSE : Giving the rays of the underlying Fan of a toric vector bundle -- INPUT : 'tvb', a TorcVectorBundle -- OUTPUT : 'L', a List containing the rays of the Fan underlying the bundle rays ToricVectorBundle := {} >> o -> tvb -> raySortOfFan tvb#"ToricVariety" -- PURPOSE : Computing the 'l'-th symmetric power of a Toric Vector Bundle -- INPUT : '(l,tvb)', where 'l' is a strictly positive integer and 'tvb' is a ToricVectorBundle -- OUTPUT : 'tvb', a ToricVectorBundle which is the 'l'-th symmetric power symmetricPower(ZZ,ToricVectorBundle) := (l,tvb) -> ( -- Checking for input errors if l < 0 then error("The power has to be strictly positive."); -- Extracting data k := tvb#"rank of the vector bundle"; -- Generating the list of 'l'-tuples of 0..k-1 with duplicates and the corresponding index table ind := sort apply(subsets(k+l-1,l),s -> apply(#s, i -> s#i-i)); allind := sort unique flatten apply(ind, permutations); indtable := hashTable apply(#ind, i -> ind#i => i); if instance(tvb,ToricVectorBundleKlyachko) then ( if l == 0 then toricVectorBundle(1,tvb#"ToricVariety") else ( baseTable := tvb#"baseTable"; filtrationTable := tvb#"filtrationMatricesTable"; Rs := rays tvb; R := tvb#"ring"; F := tvb#"ToricVariety"; -- Computing the 'l'-th symmetric product of the base matrices baseTable = apply(Rs, r -> ( B := baseTable#r; M := mutableMatrix(R,#ind,#ind); for i1 in ind do ( Bi := B_(i1); for j in allind do M_(indtable#(sort j),indtable#i1) = M_(indtable#(sort j),indtable#i1) + product apply(#j, j1 -> Bi_(j#j1,j1))); matrix M)); -- Computing the 'l'-th symmetric products of the filtration matrices filtrationTable = apply(Rs, r -> ( filt := filtrationTable#r; matrix {apply(ind, j -> sum flatten entries filt_j)})); T := makeVBKlyachko(#ind,F,baseTable,filtrationTable); if tvb.cache.?isVB and tvb.cache.isVB then T.cache.isVB=true; T)) else ( if l == 0 then toricVectorBundle(1,tvb#"ToricVariety","Type" => "Kaneyama") else ( -- Computing the 'l'-th symmetric powers of the transition matrices baseChangeTable := hashTable apply(pairs tvb#"baseChangeTable", p -> ( B := p#1; M := mutableMatrix(QQ,#ind,#ind); for i1 in ind do ( Bi := B_(i1); for j in allind do M_(indtable#(sort j),indtable#i1) = M_(indtable#(sort j),indtable#i1) + product apply(#j, j1 -> Bi_(j#j1,j1))); M = matrix M; p#0 => M)); -- Computing the 'l'-th symmetric powers of the degrees degreeTable := hashTable apply(pairs tvb#"degreeTable", p -> ( dM := p#1; dM = transpose matrix apply(ind, j -> flatten entries(dM_j * matrix toList((#j):{1}))); p#0 => dM)); E := new ToricVectorBundleKaneyama from { "degreeTable" => degreeTable, "baseChangeTable" => baseChangeTable, "ToricVariety" => tvb#"ToricVariety", "number of affine charts" => tvb#"number of affine charts", "dimension of the variety" => tvb#"dimension of the variety", "rank of the vector bundle" => #ind, "codim1Table" => tvb#"codim1Table", "topConeTable" => tvb#"topConeTable", symbol cache => new CacheTable}; if tvb.cache.?regCheck and tvb.cache.regCheck and tvb.cache.?cocycle and tvb.cache.cocycle then ( E.cache.regCheck = true; E.cache.cocycle = true); E))) -- PURPOSE : Computing the tangent bundle on a smooth, pure, and full dimensional Toric Variety -- INPUT : 'F', a smooth, pure, and full dimensional Fan -- OUTPUT : 'tvb', a ToricVectorBundle -- COMMENT : If no option is given the function will return a ToricVectorBundleKlyachko, if "Type" => "Kaneyama" is given it returns a ToricVectorBundleKaneyama tangentBundle = method(Options => {"Type" => "Klyachko"}) tangentBundle Fan := opts -> F -> ( if opts#"Type" == "Klyachko" then tangentBundleKlyachko F else if opts#"Type" == "Kaneyama" then dual cotangentBundleKaneyama F else error("Expected Type to be Klyachko or Kaneyama.")) -- PURPOSE : Checking if two toric vector bundles are equal -- INPUT : '(tvb1,tvb2)', two ToricVectorBundle -- OUTPUT : 'true' or 'false' ToricVectorBundle == ToricVectorBundle := (tvb1,tvb2) -> tvb1 === tvb2 -- PURPOSE : Computing the tensor product of two toric vector bundles over the same Fan -- INPUT : '(tvb1,tvb2)', two ToricVectorBundle over the same Fan in the same description -- OUTPUT : 'tvb', a ToricVectorBundle which is the tensor product in the same description tensor(ToricVectorBundle, ToricVectorBundle) := ToricVectorBundle => {} >> opts -> (tvb1, tvb2) -> ( -- Checking for input errors if tvb1#"ToricVariety" != tvb2#"ToricVariety" then error("Expected bundles over the same toric variety."); k1 := tvb1#"rank of the vector bundle"; k2 := tvb2#"rank of the vector bundle"; if instance(tvb1,ToricVectorBundleKaneyama) and instance(tvb2,ToricVectorBundleKaneyama) then ( -- Extracting data out of tvb1 and tvb2 -- Generating the trivial bundle of dimension k1+k2 E := makeVBKaneyama(k1 * k2,tvb1#"ToricVariety"); -- Computing the new degree table and transition matrices and writing the degrees and transition matrices into the bundle E = new ToricVectorBundleKaneyama from { "degreeTable" => merge(tvb1#"degreeTable",tvb2#"degreeTable", (a,b) -> matrix {flatten apply(k2, j -> apply(k1, i -> a_{i}+b_{j}))}), "baseChangeTable" => merge(tvb1#"baseChangeTable",tvb2#"baseChangeTable", (a,b) -> ( matrix flatten apply(k2, j -> apply(k1, i -> flatten apply(k2, j' -> apply(k1, i' -> a_(i,i') * b_(j,j'))))))), "ToricVariety" => E#"ToricVariety", "number of affine charts" => E#"number of affine charts", "dimension of the variety" => E#"dimension of the variety", "rank of the vector bundle" => k1 + k2, "codim1Table" => E#"codim1Table", "topConeTable" => E#"topConeTable", symbol cache => new CacheTable}; if (tvb1.cache.?regCheck and tvb2.cache.?regCheck and tvb1.cache.regCheck and tvb2.cache.regCheck and ( tvb1.cache.?cocycle and tvb2.cache.?cocycle and tvb1.cache.cocycle and tvb2.cache.cocycle)) then ( E.cache.regCheck = true; E.cache.cocycle = true); E) else if instance(tvb1,ToricVectorBundleKlyachko) and instance(tvb2,ToricVectorBundleKlyachko) then ( -- Extracting data out of tvb1 and tvb2 F := tvb1#"ToricVariety"; bT1 := tvb1#"baseTable"; bT2 := tvb2#"baseTable"; fmT1 := tvb1#"filtrationMatricesTable"; fmT2 := tvb2#"filtrationMatricesTable"; -- Computing the bases and filtration matrices k := k1 * k2; tvb := makeVBKlyachko(k,F); R := rays tvb; baseTable := apply(R, r -> bT1#r ** bT2#r); filtrationTable := apply(R, r -> matrix {flatten apply(flatten entries fmT1#r, e1 -> apply(flatten entries fmT2#r, e2 -> e1 + e2))}); -- Writing the new Tables into the bundle tvb = addBase(tvb,baseTable); tvb = addFiltration(tvb,filtrationTable); if tvb1.cache.?isVB and tvb2.cache.?isVB and tvb1.cache.isVB and tvb2.cache.isVB then tvb.cache.isVB = true; tvb) else error("The two toric vector bundles have to be in the same description.")) ToricVectorBundle ** ToricVectorBundle := (tvb1,tvb2) -> tensor(tvb1,tvb2) -- ToricVectorBundleKlyachko ** ToricVectorBundleKlyachko := tensor -- PURPOSE : Computing the twist of a Toric Vector Bundle by a divisor line bundle -- INPUT : '(T,d)', where 'T' is a toricVectorBundleKlyachko and 'd' a list of integers one for each ray of the fan -- OUTPUT : a ToricVectorBundleKlyachko -- COMMENT : If d={d_1,..d_l} then this corresponds to the line bundle which is the d_i twist on the i-th ray twist = method(TypicalValue => ToricVectorBundleKlyachko) twist (ToricVectorBundleKlyachko,List) := (T,d) -> ( k := T#"rank of the vector bundle"; fT := T#"filtrationMatricesTable"; -- Checking for input errors if #d != #fT then error("The number of twists has to match the number of rays of the fan."); R := rays T; fT = apply(#R, i -> fT#(R#i) + matrix{toList(k:-(d#i))}); addFiltration(T,fT)) -- PURPOSE : Computing the Cartier index of a Weil divisor -- INPUT : '(L,F)', where 'F' is a Fan and 'L' is a list of integers defining a Weil divisor -- OUTPUT : The smallest multiple of the divisor which is Cartier if the divisor is QQ-Cartier, if not -- an error is returned cartierIndex = method(TypicalValue => ZZ) cartierIndex (List,Fan) := (L,F) -> ( rl := raySortOfFan F; -- Checking for input errors if #L != #rl then error("The number of weights has to equal the number of rays."); n := ambDim F; -- Checking for further errors and assigning the weights to the rays L = hashTable apply(#rl, i -> (if class L#i =!= ZZ then error("The weights have to be in ZZ."); rl#i => L#i)); -- Keeping track of the lowest common multiple of denominators of the degrees, -- to check whether the divisor itself is Cartier or which multiple denom := 1; -- Computing the degree vector for every top dimensional cone Frays := rays F; scan(sort maxCones F, C -> ( rC := Frays_C; -- Taking the first n x n submatrix rC1 := rC_{0..n-1}; -- Setting up the solution vector by composing the corresponding weights v := matrix apply(n, i -> (c := rC1_{i}; {-(L#c)})); -- Computing the degree vector w := vertices polyhedronFromHData(matrix {toList(n:0)},matrix {{0}},transpose rC1,v); -- Checking if w also fulfils the equations given by the remaining rays if numColumns rC != n then ( v = v || matrix apply(toList(n..(numColumns rC)-1), i -> {-(L#(rC_{i}))}); if (transpose rC)*w - v != 0 then error("The weights do not define a Cartier divisor.")); -- Check if w is QQ-Cartier scan(flatten entries w, e -> denom = lcm(denominator e ,denom)))); denom) -- PURPOSE : Generating the Vector Bundle given by a divisor weilToCartier = method(Options => {"Type" => "Klyachko"}) -- INPUT : '(L,F)', a list 'L' of weight vectors, one for each ray of the Fan 'F' -- OUTPUT : 'tvb', a ToricVectorBundle -- COMMENT : If no option is given the function will return a ToricVectorBundleKlyachko, if "Type" => "Kaneyama" is given it returns a ToricVectorBundleKaneyama weilToCartier (List,Fan) := opts -> (L,F) -> ( rl := raySortOfFan F; -- Checking for input errors if #L != #rl then error("The number of weights has to equal the number of rays."); n := ambDim F; if opts#"Type" == "Kaneyama" then ( if not isPure F or ambDim F != dim F then error("Expected the Fan to be pure of maximal dimension."); -- Creating 0 matrices to compute intersection of hyperplanes to compute the degrees Mfull := matrix {toList(n:0)}; vfull := matrix {{0}}; -- Checking for further errors and assigning the weights to the rays L = hashTable apply(#rl, i -> (if class L#i =!= ZZ then error("The weights have to be in ZZ."); rl#i => L#i)); -- Keeping track of the lowest common multiple of denominators of the degrees, -- to check whether the divisor itself is Cartier or which multiple denom := 1; -- Computing the degree vector for every top dimensional cone tvb := makeVBKaneyama(1,F); gC := customConeSort keys tvb#"degreeTable"; gC = apply(gC, C -> ( rC := (rays posHull C); -- Taking the first n x n submatrix rC1 := rC_{0..n-1}; -- Setting up the solution vector by composing the corresponding weights v := matrix apply(n, i -> (c := rC1_{i}; {-(L#c)})); -- Computing the degree vector w := vertices polyhedronFromHData(Mfull,vfull,transpose rC1,v); -- Checking if w also fulfils the equations given by the remaining rays if numColumns rC != n then ( v = v || matrix apply(toList(n..(numColumns rC)-1), i -> {-(L#(rC_{i}))}); if (transpose rC)*w - v != 0 then error("The weights do not define a Cartier divisor.")); -- Check if w is QQ-Cartier scan(flatten entries w, e -> denom = lcm(denominator e ,denom)); w)); -- If the divisor is only QQ Cartier, then its replaced by its first Cartier multiple if denom != 1 then error("The divisor is only QQ-Cartier, but "|toString(denom)|" times the divisor is Cartier."); gC = apply(gC, e -> substitute(denom*e,ZZ)); -- Construct the actual line bundle addDegrees(tvb,gC)) else if opts#"Type" == "Klyachko" then ( if any(L, l -> not instance(l,ZZ)) then error("The weights have to be in ZZ."); ind := cartierIndex(L,F); if ind != 1 then error("The divisor is only QQ-Cartier, but "|toString(ind)|" times the divisor is Cartier."); T := makeVBKlyachko(1,F,apply(L, l -> matrix{{1_QQ}}),apply(L, l -> matrix{{-l}})); T.cache.isVB = true; T) else error("Expected Type to be Klyachko or Kaneyama.")) -- PURPOSE : Constructing the fan of projective n-space -- INPUT : 'n', a strictly positive integer -- OUTPUT : The fan of projective n-space projectiveSpaceFan = method(TypicalValue => Fan) projectiveSpaceFan ZZ := n -> ( if n < 1 then error("The dimension has to be strictly positive."); normalFan convexHull (map(ZZ^n,ZZ^n,1)|map(ZZ^n,ZZ^1,0))) -- PURPOSE : Constructing the fan of the product of n projective 1-spaces -- INPUT : 'n', a strictly positive integer -- OUTPUT : The fan of the product of n projective 1-spaces pp1ProductFan = method(TypicalValue => Fan) pp1ProductFan ZZ := n -> ( if n < 1 then error("The number of PP^1's has to be strictly positive."); normalFan hypercube n) -- PURPOSE : Constructing the fan of the Hirzebruch n-surface -- INPUT : 'n', a positive integer -- OUTPUT : The fan of the Hirzebruch n-surface hirzebruchFan = method(TypicalValue => Fan) hirzebruchFan ZZ := n -> hirzebruch n --------------------------------------- -- AUXILIARY FUNCTIONS, not public --------------------------------------- -- PURPOSE : Computing the Cech complex of a vector bundle cechComplex = method() -- INPUT : '(k,T,u)', where 'k' is an integer between -1 and the dimension of the bundle +1, 'T' a ToricVectorBundleKlyachko, and 'u' a -- one column matrix giving a degree vector -- OUTPUT : '(Fk,Fkcolumns,FktoFk+1)', where 'Fk' is a hashTable with the summands of the 'k'th chain, 'Fkcolumns' is a hashTable with the -- dimensions of these summands, and 'FktoFk+1' is a hashTable with the components of the 'k'th -- boundary operator cechComplex (ZZ,ToricVectorBundleKlyachko,Matrix) := (k,T,u) -> ( -- Checking for input errors if numRows u != T#"dimension of the variety" or numColumns u != 1 then error("Expected a matrix with 1 column and ", toString T#"dimension of the variety", " rows."); if ring u =!= ZZ then error("The degree has to be an integer vector."); if k < -1 or T#"dimension of the variety"+1 < k then error("k has to be between 0 and the variety dimension for the k-th cohomology"); -- For a given space F1 at chain k in the filtration together with the degree vector 'u' and the information of the bundle this auxiliary -- function computes the boundary operator to the next chain (k+1) which is F1toF2, the dimensions of the summands of 'F1' in 'F1columns' -- and the next chain 'F2' makeNewDiffAndTarget := (F1,u,fMT,rT,bT,tvbR,tvbrank,k,n) -> ( F2 := {}; F1toF2 := {}; counter := 0; F1columns := {}; -- if k==n then the next chain is 0 as well as the boundary operator if k == n then ( F2 = {(0,{},map(tvbR^tvbrank,tvbR^0,0))}; F1toF2 = {}; F1columns = {0 => tvbrank}) -- k==n-1 then the next chain is "complete bundle" and the boundary operator is the map of all summands of Fn-2 else if k == n-1 then ( F2 = {(0,{},map(tvbR^tvbrank,tvbR^tvbrank,1))}; F1toF2 = apply(pairs F1, (j,dat) -> ( F1columns = append(F1columns,j => numColumns(dat#1)); (j,0,dat#1)))) else ( -- for each cone in F1 compute the cones of one dimension less and their bundle scan(pairs(F1), (num,dat) -> ( R := dat#0; Er := dat#1; -- go through the rays of the cone and remove each of them at a time scan(#R, i -> ( Ri := drop(R,{i,i}); pos := position(F2, f -> f#1 === Ri); -- Check if the resulting cone already exists in the new chain F2, if so just add Er to the boundary operator if pos =!= null then F1toF2 = append(F1toF2,(num,pos,((-1)^i)*Er)) else ( -- if not compute E for new cone and append it to F2 Esum := apply(Ri, r -> (rT#r,((transpose u)*r)_(0,0),r)); Esum = apply(Esum, e -> (e#0,positions(flatten entries(fMT#(e#2)), j -> (j <= e#1)),e#2)); if any(Esum, e -> e#1 == {}) then F2 = append(F2,(counter,Ri,map(tvbR^tvbrank,tvbR^0,0))) else ( E := map(tvbR^tvbrank,tvbR^tvbrank,1); Esum = select(Esum, e -> sort(e#1) != toList(0..tvbrank-1)); Esum = apply(Esum, e -> (bT#(e#2))_(e#1)); scan(Esum, A -> E = intersectMatrices(E,A)); F2 = append(F2,(counter,Ri,E))); F1toF2 = append(F1toF2,(num,counter,((-1)^i)*Er)); counter = counter + 1))); -- Save the dimension of Er into F1columns F1columns = append(F1columns,num => numColumns Er)))); (hashTable apply(F1toF2, f -> (f#0,f#1) => f#2),hashTable F1columns,hashTable apply(F2, f -> f#0 => (f#1,f#2)))); if not T.cache.?cech then T.cache.cech = new MutableHashTable; fMT := T#"filtrationMatricesTable"; tvbR := T#"ring"; tvbrank := T#"rank of the vector bundle"; n := T#"dimension of the variety"; -- if k==n+1 the chain is 0 and there is no map if k == n+1 then (hashTable {0 => ({},map(tvbR^tvbrank,tvbR^0,0))},hashTable {},hashTable {}) else ( rT := T#"rayTable"; bT := T#"baseTable"; if not T.cache.cech#?(k,u) then ( -- rT will be used to sort the rays -- if the previous chain has not been computed we have to compute the cones of the right dimension (n-k) if not T.cache.cech#?(k-1,u) or k == 0 then ( -- if k==n then the chain is the "complete bundle" and the next chain is 0 if k == n then ( T.cache.cech#(k,u) = (hashTable {0 => ({},map(tvbR^tvbrank,tvbR^tvbrank,1))},hashTable {0 => tvbrank},hashTable {}); T.cache.cech#(k+1,u) = hashTable {0 => ({},map(tvbR^tvbrank,tvbR^0,0))}) -- if k==-1 the chain is 0 else if k == -1 then T.cache.cech#(k,u) = (hashTable { 0 => ({},map(tvbR^tvbrank,tvbR^0,0))},hashTable {0 => 0},hashTable {}) else ( F1 := faces(k,T#"ToricVariety"); Frays := rays T#"ToricVariety"; Flineality := linealitySpace T#"ToricVariety"; F1 = apply(F1, f-> posHull(Frays_f, Flineality)); -- for each n-k cone in the fan compute Er, the bundle over this cone for the degree u F1 = hashTable apply(#F1, Cnum -> ( C := F1#Cnum; R := (rays C); R = apply(numColumns R, i -> (R_{i})); R = sort apply(R, r -> (rT#r,r)); Esum := apply(R, r -> (r#0,((transpose u)*(r#1))_(0,0),r#1)); R = apply(R, r -> (r#1)); Esum = apply(Esum, e -> (e#0,positions(flatten entries fMT#(e#2), j -> (j <= e#1)),e#2)); if any(Esum, e -> e#1 == {}) then Cnum => (R,map(tvbR^tvbrank,tvbR^0,0)) else ( E := map(tvbR^tvbrank,tvbR^tvbrank,1); Esum = select(Esum, e -> sort(e#1) != toList(0..tvbrank-1)); Esum = apply(Esum, e -> (bT#(e#2))_(e#1)); scan(Esum, A -> E = intersectMatrices(E,A)); Cnum => (R,E)))); -- Compute the boundary operator with the auxiliary function (F1toF2,F1columns,F2) := makeNewDiffAndTarget(F1,u,fMT,rT,bT,tvbR,tvbrank,k,n); T.cache.cech#(k,u) = (F1,F1columns,F1toF2); -- Save the next chain to the cache if not T.cache.cech#?(k+1,u) then T.cache.cech#(k+1,u) = F2)) else ( -- if the previous chain exists use this to compute the chain in question F10 := T.cache.cech#(k-1,u); (F10toF11,F10columns,F11) := makeNewDiffAndTarget(F10,u,fMT,rT,bT,tvbR,tvbrank,k-1,n); (F11toF12,F11columns,F12) := makeNewDiffAndTarget(F11,u,fMT,rT,bT,tvbR,tvbrank,k,n); T.cache.cech#(k-1,u) = (F10,F10columns,F10toF11); T.cache.cech#(k,u) = (F11,F11columns,F11toF12); -- save the next chain to the cache as well if not T.cache.cech#?(k+1,u) then T.cache.cech#(k+1,u) = F12)) -- if the cache only consists of the chain but not of the boundary operator compute this else if not instance(T.cache.cech#(k,u),Sequence) then ( F21 := T.cache.cech#(k,u); (F21toF22,F21columns,F22) := makeNewDiffAndTarget(F21,u,fMT,rT,bT,tvbR,tvbrank,k,n); T.cache.cech#(k,u) = (F21,F21columns,F21toF22); if not T.cache.cech#?(k+1,u) then T.cache.cech#(k+1,u) = F22); T.cache.cech#(k,u))) -- INPUT : '(k,T,u)', where 'k' is an integer between -1 and the dimension of the bundle +1, 'T' a ToricVectorBundleKlyachko, and 'u' a -- one column matrix giving a degree vector -- OUTPUT : '(Fk,Fkcolumns,FktoFk+1)', where 'Fk' is a hashTable with the summands of the 'k'th chain, 'Fkcolumns' is a hashTable with the -- dimensions of these summands, and 'FktoFk+1' is a hashTable with the components of the 'k'th -- boundary operator cechComplex (ZZ,ToricVectorBundleKaneyama,Matrix) := (k,tvb,u) -> ( -- Checking for input errors if numRows u != tvb#"dimension of the variety" or numColumns u != 1 then error("Expected a matrix with 1 column and ", toString tvb#"dimension of the variety", " rows."); if ring u =!= ZZ then error("The degree has to be an integer vector."); if k < 0 or tvb#"dimension of the variety"+1 < k then error("k has to be between 0 and the variety dimension for the k-th cohomology."); -- For a given space F1 at chain k in the filtration together with the degree vector 'u' and the information of the bundle this auxiliary -- function computes the boundary operator to the next chain (k+1) which is F1toF2, the dimensions of the summands of 'F1' in 'F1columns' -- and the next chain 'F2' makeNewDiffAndTarget := (M1,rk,l,tCT,bCT,dT) -> ( -- Recursive function that finds a path over codim 1 cones from one topdim cone ('i') to another ('j') -- using the steps in 'pl' findpath := (i,j,pl) -> ( -- Recursive function finds a path from the actual cone 'i' to the Cone 'j' using the steps in 'pl' -- where 'cl' is the sequence of steps taken so far from the original 'i' and 'minpath' is the -- shortest path found so far findrecursive := (i,j,pl,cl,minpath) -> ( -- If the last step from 'i' to 'j' is part of 'pl' then add '(i,j)' to 'cl' if member((i,j),pl) or member((j,i),pl) then ( cl = append(cl,(i,j)); -- Check if the new found path is shorter than shortest so far if #cl < #minpath or minpath == {} then minpath = cl) -- otherwise find a path with the remaining steps in 'pl' else ( L1 := {}; L2 := {}; -- Sort the remaining possible steps into those containing 'i'in 'L1' and those who not in 'L2' for e in pl do if member(i,e) then L1 = append(L1,e) else L2 = append(L2,e); -- Call findrecursive for each step in 'L1', with new starting cone the other index in the pair and new -- remaining pairs list 'L2' and add the step to 'cl' for e in L1 do ( if e#0 == i then minpath = findrecursive(e#1,j,L2,append(cl,e),minpath) else minpath = findrecursive(e#0,j,L2,append(cl,(e#1,e#0)),minpath))); minpath); -- Start with an empty sequence of steps, no minimal path yet and all possible stepsd cl := {}; minpath := {}; findrecursive(i,j,pl,cl,minpath)); M2 := {}; for p in pairs M1 do ( L := select(toList(0..rk-1), i -> not member(i,p#1#0)); for i from last(p#0)+1 to l-1 do ( cl := append(p#0,i); C := intersection(posHull p#1#1, posHull tCT#i); degs := dT#(tCT#(cl#0)); M2 = append(M2,cl => (sort unique join(p#1#0,select(L, i -> contains(dualCone C,u- degs_{i}))),(rays C, linealitySpace C))))); M2 = hashTable M2; -- Constructing the zero map over QQ d1 := map(QQ^0,QQ^0,0); -- Constructing the matrix of the sequence for the cohomology scan(pairs M1, (a,b) -> ( b = b#0; -- 'A' will be a column of the matrix d1 of the sequence A := map(QQ^0,QQ^(#b),0); -- One intersection in M1 is selected, by going through the intersections in M2 we get the first "column" of block matrices in A -- by looking at the images in all intersections in M2 scan(pairs M2, (c,d) -> ( -- Only if the intersection is made by intersecting with one more cone, the resulting matrix has to be computed, -- because otherwise it is automatically zero if isSubset(a,c) then ( -- get the signum by looking at the position the new cone is inserted signum := (-1)^(#c - position(c, e -> not member(e,a)) - 1); i := a#0; j := c#0; -- if i == j then no base change between the two representations has to be made, so the submatrix of the -- identity inserting the positions of the degrees 'b' into the degrees 'd' is added in this column if i == j then A = A || (signum * (map(QQ^rk,QQ^rk,1))_b) -- Otherwise we have to find the transition matrix from cone 'i' to Cone 'j' else ( -- find the transition matrix mpath := findpath(i,j,keys bCT); -- If the path has one element then we take the 'b'-'d' part of that matrix, otherwise the multiplication -- of the matrices corresponding to the steps in the path and add the path as a new step with corresponding matrix if #mpath == 1 then ( if i < j then A = A || (signum * (bCT#(i,j))_b) else A = A || (signum * (inverse (bCT#(j,i)))_b)) else ( A1 := map(QQ^rk,QQ^rk,1); for p in mpath do ( if p#0 < p#1 then A1 = bCT#p * A1 else A1 = (inverse bCT#(p#1,p#0))*A1); if i < j then bCT = hashTable join(apply(pairs bCT, ps -> ps#0 => ps#1), {(i,j) => A1}) else bCT = hashTable join(apply(pairs bCT, ps -> ps#0 => ps#1), {(j,i) => inverse A1}); A = A || (signum * A1_b)))) else ( A = A || map(QQ^rk,QQ^(#b),0)))); -- Adding the new column to d1 if d1 == map(QQ^0,QQ^0,0) then d1 = A else d1 = d1 | A)); (d1,M2)); if not tvb.cache.?cech then tvb.cache.cech = new MutableHashTable; rk := tvb#"rank of the vector bundle"; l := tvb#"number of affine charts"; tCT := customConeSort keys tvb#"topConeTable"; bCT := tvb#"baseChangeTable"; dT := tvb#"degreeTable"; if not tvb.cache.cech#?(k,u) then ( if k == 0 then ( M20 := hashTable apply(subsets(l,k+1), cl -> ( C := intersection apply(cl, i -> posHull tCT#i); degs := dT#(tCT#(cl#0)); L := select(toList(0..rk-1), i -> contains(dualCone C,u - degs_{i})); cl => (L,(rays C, linealitySpace C)))); (d20,M30) := makeNewDiffAndTarget(M20,rk,l,tCT,bCT,dT); tvb.cache.cech#(k,u) = (M20,d20); tvb.cache.cech#(k+1,u) = M30) else ( M1 := if not tvb.cache.cech#?(k-1,u) then ( hashTable apply(subsets(l,k), cl -> ( C := intersection apply(cl, i -> posHull tCT#i); degs := dT#(tCT#(cl#0)); L := select(toList(0..rk-1), i -> contains(dualCone C,u - degs_{i})); cl => (L,(rays C, linealitySpace C))))) else tvb.cache.cech#(k-1,u); (d1,M2) := makeNewDiffAndTarget(M1,rk,l,tCT,bCT,dT); (d2,M3) := makeNewDiffAndTarget(M2,rk,l,tCT,bCT,dT); tvb.cache.cech#(k-1,u) = (M1,d1); tvb.cache.cech#(k,u) = (M2,d2); tvb.cache.cech#(k+1,u) = M3)) else if not instance(tvb.cache.cech#(k,u),Sequence) then ( M21 := tvb.cache.cech#(k,u); (d21,M31) := makeNewDiffAndTarget(M21,rk,l,tCT,bCT,dT); tvb.cache.cech#(k,u) = (M21,d21); tvb.cache.cech#(k+1,u) = M31); tvb.cache.cech#(k,u)) -- PURPOSE : Checking for a matrix if it is over ZZ or QQ and returning an error if not -- INPUT : '(M,msg)', where 'M' is a matrix and 'msg' is the name of the object 'M' describes -- OUTPUT : The matrix promoted to QQ if it was over ZZ or QQ, otherwise an error chkZZQQ = (M,msg) -> ( R := ring M; if R =!= ZZ and R =!= QQ then error("expected matrix of ",msg," to be over ZZ or QQ"); promote(M,QQ)); -- PURPOSE : Computing the cohomology of a given ToricVectorBundle cohom = method() -- INPUT : '(k,tvb,u)', 'k' for the 'k'th cohomology group, 'tvb' a ToricVectorBundleKaneyama, and 'u' the degree -- OUTPUT : 'ZZ', the dimension of the degree 'u' part of the 'k'th cohomology group of 'tvb' cohom (ZZ,ToricVectorBundleKaneyama,Matrix) := (k,T,u) -> ( if not T.cache.?HH then T.cache.HH = new MutableHashTable; if not T.cache.HH#?(k,u) then ( -- Get the k-1 th and k th differential d := if k == 0 then rank ker (cechComplex(k,T,u))#1 else ( -- Generate the two boundary operators d1 := (cechComplex(k-1,T,u))#1; d2 := (cechComplex(k,T,u))#1; (rank ker d2) - (rank image d1)); T.cache.HH#(k,u) = (ring T)^(toList(d:flatten entries(-u)))); T.cache.HH#(k,u)) -- INPUT : '(k,tvb,u)', 'k' for the 'k'th cohomology group, 'tvb' a ToricVectorBundleKlyachko, and 'u' the degree -- OUTPUT : 'ZZ', the dimension of the degree 'u' part of the 'k'th cohomology group of 'tvb' cohom (ZZ,ToricVectorBundleKlyachko,Matrix) := (k,T,u) -> ( if not T.cache.?HH then T.cache.HH = new MutableHashTable; if not T.cache.HH#?(k,u) then ( -- Get the k-1 th, k th and k+1 th chain in the Cech complex (F1,F1columns,F1toF2) := cechComplex(k-1,T,u); (F2,F2columns,F2toF3) := cechComplex(k,T,u); F3 := (cechComplex(k+1,T,u))#0; tvbR := T#"ring"; tvbrank := T#"rank of the vector bundle"; -- Generate the two boundary operators MapF1toF2 := matrix apply(#F2, j -> apply(#F1, i -> if F1toF2#?(i,j) then F1toF2#(i,j) else map(tvbR^tvbrank,tvbR^(F1columns#i),0))); MapF2toF3 := matrix apply(#F3, j -> apply(#F2, i -> if F2toF3#?(i,j) then F2toF3#(i,j) else map(tvbR^tvbrank,tvbR^(F2columns#i),0))); -- Compute the cohomology d := (rank ker MapF2toF3)-(rank image MapF1toF2); T.cache.HH#(k,u) = (ring T)^(toList(d:flatten entries(-u)))); T.cache.HH#(k,u)) -- PURPOSE : Computing the cotangent bundle on a smooth, pure, and full dimensional Toric Variety -- INPUT : 'F', a smooth, pure, and full dimensional Fan -- OUTPUT : 'tvb', a ToricVectorBundleKaneyama cotangentBundleKaneyama = F -> ( -- Checking for input errors if not isSmooth F then error("The Toric Variety has to be smooth."); if not isComplete F then error("The Toric Variety has to be complete."); if not isPointed F then error("The Fan has to be pointed."); -- Generating the trivial bundle of dimension n n := dim F; tvb := makeVBKaneyama(n,F); tCT := customConeSort keys tvb#"topConeTable"; pairlist := keys tvb#"baseChangeTable"; -- Computing the degrees and transition matrices of the cotangent bundle degreeTable := hashTable apply(tCT, p -> p => substitute(rays dualCone posHull p,ZZ)); baseChangeTable := hashTable apply(pairlist, p -> ( p => substitute(inverse(degreeTable#(tCT#(p#1)))*(degreeTable#(tCT#(p#0))),QQ))); -- Writing the data into the bundle E := new ToricVectorBundleKaneyama from { "degreeTable" => degreeTable, "baseChangeTable" => baseChangeTable, "ToricVariety" => tvb#"ToricVariety", "number of affine charts" => tvb#"number of affine charts", "dimension of the variety" => n, "rank of the vector bundle" => n, "codim1Table" => tvb#"codim1Table", "topConeTable" => tvb#"topConeTable", symbol cache => new CacheTable}; E.cache.regCheck = true; E.cache.cocyle = true; E) -- PURPOSE : Constructing the fan of projective n-space generateRandomMatrix = method(TypicalValue => Matrix) -- INPUT : '(m,n,h)', where 'm' and 'n' are strictly positive integers and 'h' is an integer -- OUTPUT : An 'm' by 'n' matrix with random entries between 0 and 'h' generateRandomMatrix (ZZ,ZZ,ZZ) := (m,n,h) -> matrix apply(m, i -> apply(n, j -> random h+1)) -- INPUT : '(m,n,l,h)', where 'm' and 'n' are strictly positive integers and 'l' 'h' are integers -- of which 'l' is the smaller one -- OUTPUT : An 'm' by 'n' matrix with random entries between 0 and 'h' generateRandomMatrix (ZZ,ZZ,ZZ,ZZ) := (m,n,l,h) -> matrix apply(m, i -> apply(n, j -> random(l,h))) -- PURPOSE : Computing the intersection of the images of two matrices -- INPUT : '(M,N)', two matrices with the same target -- OUTPUT : a matrix with the minimal generators of the intersection intersectMatrices = (M,N) -> ( m := numColumns M; N = gens ker(M | N); N = N^{0..m-1}; gens trim image(M*N)); -- PURPOSE : Building a Vector Bundle of rank 'k' on the Toric Variety given by the Fan 'F' -- with 0 degrees and identity transition matrices -- INPUT : '(k,F)', a strictly positive integer 'k' and a pure and full dimensional -- Fan 'F' -- OUTPUT : The ToricVectorBundleKaneyama 'VB' makeVBKaneyama = method(TypicalValue => ToricVectorBundleKaneyama) makeVBKaneyama (ZZ,Fan) := (k,F) -> ( -- Checking for input errors if k < 0 then error("The vector bundle must have a positive rank."); if not isComplete F then error("The fan has to be complete."); if not isPointed F then error("The fan has to be pointed."); -- Writing the table of Cones of maximal dimension n := dim F; Frays := rays F; Flineality := linealitySpace F; topConeTable := customConeSort apply(maxCones F, c-> (Frays_c, Flineality)); topConeTable = apply(#topConeTable, i -> topConeTable#i => i); topConeTable = hashTable topConeTable; -- Saving the index pairs of top dimensional Cones that intersect in a codim 1 Cone Ltable := hashTable {}; scan(pairs topConeTable, (C,a) -> Ltable = merge(Ltable,hashTable apply(facesAsCones(1,posHull C), e -> (rays e, linealitySpace e) => a),(b,c) -> if b < c then (b,c) else (c,b))); Ltable = hashTable flatten apply(pairs Ltable, p -> if instance(p#1,Sequence) then p#1 => p#0 else {}); -- Removing Cones on the "border" of F, which have only 1 index pairlist := sort keys Ltable; -- Saving the identity into the Table of transition matrices baseChangeTable := hashTable apply(pairlist, p -> p => map(QQ^k,QQ^k,1)); -- Saving 0 degrees into the degree table degreeTable := hashTable apply(keys topConeTable, C -> C => map(ZZ^n,ZZ^k,0)); -- Making the vector bundle new ToricVectorBundleKaneyama from { "degreeTable" => degreeTable, "baseChangeTable" => baseChangeTable, "codim1Table" => Ltable, "ToricVariety" => F, "number of affine charts" => #topConeTable, "dimension of the variety" => n, "rank of the vector bundle" => k, "topConeTable" => topConeTable, symbol cache => new CacheTable}) -- INPUT : '(k,F,degreeList,matrixList)', a strictly positive integer 'k', a pure and full dimensional -- Fan 'F' of dimension n, a list 'degreeList' of k by n matrices over ZZ, one for each -- top dimensional Cone in 'F' where the columns give the degrees of the generators in the -- corresponding affine chart to this Cone, and a list 'matrixList' of k by k matrices -- over QQ, one for each pair of top dimensional Cones intersecting in a common codim 1 face. -- OUTPUT : The ToricVectorBundleKaneyama 'tvb' -- COMMENT : Note that the top dimensional cones are numbered starting with 0 and the codim 1 intersections are -- labelled by pairs (i,j) denoting the two top dim cones involved, with i<j and they are ordered -- in lexicographic order. So the matrices in 'matrixList' will be assigned to the pairs (i,j) in that -- order, where the matrix A assigned to (i,j) denotes the transition -- (e_i^1,...,e_i^k) = (e_j^1,...,e_j^k)* A -- The matrices in 'degreeList' will be assigned to the cones in the order in which they are numbered. makeVBKaneyama (ZZ,Fan,List,List) := (k,F,degreelist,matrixlist) -> ( -- Generating the trivial vector bundle of rank k tvb := makeVBKaneyama(k,F); -- Adding the given degrees and transition matrices tvb = addDegrees(tvb,degreelist); tvb = addBaseChange(tvb,matrixlist); tvb) -- PURPOSE : Building a Vector Bundle in the Klyachko description of rank 'k' on the Toric Variety given by the Fan 'F' -- with trivial Filtration for every ray -- INPUT : '(k,F)', a strictly positive integer 'k' and a pure and full dimensional Fan 'F' -- OUTPUT : The ToricVectorBundleKlyachko 'VB' makeVBKlyachko = method(TypicalValue => ToricVectorBundleKlyachko) makeVBKlyachko (ZZ,Fan) := (k,F) -> ( -- Checking for input errors if k < 0 then error("The vector bundle must have a positive rank."); if not isPointed F then error("The Fan has to be pointed"); -- Writing the table of rays rT := raySortOfFan F; rT = hashTable apply(#rT, i -> rT#i => i); -- Writing the table of identity matrices for the vector bundle bases bT := hashTable apply(keys rT, i -> i => map(QQ^k,QQ^k,1)); -- Writing the table of matrices for the filtration maps fMT := hashTable apply(keys rT, i -> i => matrix {toList(k:0)}); -- Computing the list of changes in the filtrations fT := hashTable apply(pairs fMT, p -> ( L := flatten entries p#1; L1 := sort unique L; p#0 => hashTable ({min L1 - 1 => {}} | apply(L1, l -> l => positions(L,e -> e == l))))); -- Generating the vector bundle tvb := new ToricVectorBundleKlyachko from { "ring" => QQ, "rayTable" => rT, "baseTable" => bT, "filtrationMatricesTable" => fMT, "filtrationTable" => fT, "ToricVariety" => F, "number of affine charts" => #((maxCones F)), "dimension of the variety" => dim F, "rank of the vector bundle" => k, "number of rays" => #rT, symbol cache => new CacheTable}; tvb.cache.isVB = true; tvb) -- INPUT : '(k,F,baseList,filtrationList)', a strictly positive integer 'k', a pure and full dimensional -- Fan 'F' of dimension n, a list 'baseList' of k by k matrices over the same ring/field, one for each -- ray of 'F' where the columns give the basis of the vector bundle over the ray, and a list -- 'filtrationList' of 1 by k matrices over ZZ, one for each ray such that the i-th column of -- the base matrix is at first in the part of the filtration indexed by the i-th entry in the filtration -- matrix. -- OUTPUT : The ToricVectorBundleKlyachko 'tvb' -- COMMENT : Note that the bases and filtration matrices will be assigned to the rays in the order, they appear in rays F makeVBKlyachko (ZZ,Fan,List,List) := (k,F,Bm,Fm) -> ( tvb := makeVBKlyachko(k,F); tvb = addBase(tvb,Bm); addFiltration(tvb,Fm)) -- PURPOSE : Solving the system R*X=F -- INPUT : '(R,F)', two matrices over ZZ -- OUTPUT : a matrix of QQ solutions systemSolver = (R,F) -> ( (R1,Lmatrix,Rmatrix) := smithNormalForm lift(R,ZZ); F1 := entries(Lmatrix * F); Rmatrix * (matrix apply(numRows R1, i -> F1#i / R1_(i,i)) || map(QQ^(numColumns R1 - numRows R1),QQ^(#F1#0),0))) -- PURPOSE : Generating the table of all rays together with their filtration -- INPUT : 'T', a ToricVectorBundleKlyachko -- OUTPUT : a hashTable, with keys the rays of the variety and for each ray a list of pairs (the filtration step, the filtration) tableForAllRays = method(TypicalValue => HashTable) tableForAllRays ToricVectorBundleKlyachko := (cacheValue symbol allRaysTable)( T -> ( fMT := T#"filtrationMatricesTable"; bT := T#"baseTable"; hashTable apply(rays T, r -> ( fT := flatten entries fMT#r; r => apply(fT, e -> (e,(bT#r)_(positions(fT, i -> i <= e)))))))) -- PURPOSE : Computing the tangent bundle (Klyachko) on a smooth, pure, and full dimensional Toric Variety -- INPUT : 'F', a smooth, pure, and full dimensional Fan -- OUTPUT : 'tvb', a ToricVectorBundleKlyachko tangentBundleKlyachko = F -> ( -- Checking for input errors if not isSmooth F then error("The Toric Variety has to be smooth."); -- Generating the trivial bundle of dimension n n := dim F; tvb := makeVBKlyachko(n,F); -- Extracting the rayTable rayTable := apply(rays tvb,r -> promote(r,QQ)); -- Adding the filtration matrix |-1,0,0,...,0| for each ray filtrationTable := apply(rayTable, r -> matrix{flatten({-1,toList(n-1:0)})}); -- Adding the base which has as first vector the ray itself to each ray baseTable := apply(rayTable, r -> r | complement r); -- Adding bases filtration matrices to the bundle tvb = addFiltration(tvb,filtrationTable); tvb = addBase(tvb,baseTable); tvb.cache.isVB = true; tvb) --------------------------------------- -- DOCUMENTATION --------------------------------------- beginDocumentation() document { Key => ToricVectorBundles, Headline => "cohomology computations of equivariant vector bundles on toric varieties", "Using the descriptions of Kaneyama and Klyachko this package implements the construction of equivariant vector bundles on toric varieties.", PARA{}, "Note that this package implements vector bundles in Kaneyama's description only over pure and full dimensional fans.", PARA{}, TT "ToricVectorBundles", " uses the ", TO Polyhedra, " package by ", HREF("http://page.mi.fu-berlin.de/rbirkner/indexen.htm", "René Birkner"), ". At least version 1.1 of ",TO Polyhedra," must be installed via ",TO installPackage," to use ",TT "ToricVectorBundles",".", PARA{}, "Each vector bundle is saved either in the description of Kaneyama or the one of Klyachko. The first description gives the multidegrees (in the dual lattice of the fan) of the generators of the bundle over each full dimensional cone, and for each codimension-one cone a transition matrix (See ",TO ToricVectorBundleKaneyama,"). The description of an equivariant vector bundle given by Klyachko consists of filtrations of a fixed vector space for each ray in the fan of the base variety. Furthermore, these filtrations have to satisfy a certain compatibility condition (See ",TO ToricVectorBundleKlyachko,").", PARA{}, "For the mathematical background see ", UL { {"Tamafumi Kaneyama,",EM "On equivariant vector bundles on an almost homogeneous variety", ", Nagoya Math. J. 57, 1975."}, {"Alexander A. Klyachko,",EM "Equivariant bundles over toral varieties", ", Izv. Akad. Nauk SSSR Ser. Mat., 53, 1989."}, {"Markus Perling,",EM "Resolution and moduli for equivariant sheaves over toric varieties", ", PhD Thesis, 2003."} }, SeeAlso => {"Polyhedra::Polyhedra"} } document { Key => ToricVectorBundle, Headline => "the class of all toric vector bundles", "In ",TO ToricVectorBundles," an equivariant vector bundle on some toric variety is given as an object of class ",TT "ToricVectorBundle"," which can be given in two descriptions:", UL { {"By a collection of vector spaces with filtration for each ray of the underlying fan, ",TO ToricVectorBundleKlyachko,"."}, {"By a set of degree vectors for each maximal cone and a transition matrix for each pair of maximal cones of the underlying fan, ",TO ToricVectorBundleKaneyama,"."} }, PARA{}, "For more detailed descriptions see the corresponding pages of the two subtypes.", SeeAlso => {ToricVectorBundleKlyachko, ToricVectorBundleKaneyama} } document { Key => ToricVectorBundleKaneyama, Headline => "the class of all toric vector bundles in Kaneyama's description", TEX ///"Consider an equivariant vector bundle $E$ of rank $k$ on a toric variety $X$ corresponding to a fan $\Sigma$. Then $E$ is trivial on any invariant open affine subvariety of $X$ and moreover homogeneously generated by $k$ elements. Furthermore, the transition maps between these trivializations are homogeneous of degree zero. Thus, after fixing local homogeneous generators, we get a list of degrees of generators for each cone in $\Sigma$, along with a transition map for each pair of cones. Conversely, given a list of $k$ degrees for every cone of $\Sigma$ along with transition maps satisfying compatibility and regularity conditions for every pair of cones, one can construct an equivariant vector bundle of rank $k$ on $X$."///, PARA{}, TEX ///"This description of equivariant vector bundles, due to Kaneyama, is implemented for complete, pointed fans in the following way: It is only necessary to consider charts corresponding to maximal dimensional cones of $\Sigma$. Furthermore, each codimension-one cone of $\Sigma$ corresponds to a pair of maximal dimensional cones, and thus to a transition map. Due to the compatibility condition for transition maps, one can reconstruct the transition map corresponding to an arbitrary pair from the maps of this sort. If the dimension of $\Sigma$ is $n$ then for each maximal dimensional cone the degree list of the corresponding chart is saved as an $n$ times $k$ matrix over ",TO ZZ,", giving $k$ degree vectors in the dual lattice of the fan, one for each local generator of the bundle. Additionally, for every pair of maximal cones intersecting in a common codimension-one face, there is a matrix in GL($k$,",TO QQ,"), representing the transition map between these two affine charts. Indeed, suppose that cones $\sigma_1$ and $\sigma_1$ intersect in some codimension-one face, with corresponding affine charts $U_1$ and $U_2$. Then on the intersection, the $i$-th generator for $U_1$ has a unique representation as a linear combination in the generators for $U_2$ after being multiplied with characters to all have the required degree. The coefficients in this representation form the $i$-th column of the desired matrix."///, PARA{}, TEX ///"We briefly consider the example of $\mathbb{P}^2$, corresponding to the complete fan with rays through $(0,1)$, $(1,0)$, and $(-1,-1)$. Denote by $x$ the character of weight $[1,0]$ and by $y$ the character of weight $[0,1]$. Now the coordinate rings of the three standard affine charts of $\mathbb{P}^2$ are generated by respectively $(x^{ -1},x^{ -1}y)$, $(x,y)$, and $(xy^{ -1},y^{ -1})$. This means that the modules of differentials are generated by respectively $(d(x^{ -1}),d(x^{ -1}y))$, $(dx,dy)$, and $(d(xy^{ -1}),d(y^{ -1}))$. These modules give us local trivializations of the cotangent bundle on $\mathbb{P}^2$. The degrees of the generators for the first chart then are $[-1,0]$ and $[-1,1]$, for example. Now, since $d(x^{ -1})=-x^{ -2}dx$ and $d(x^{ -1}y) = -x^{ -2}ydx + x^{ -1}dy$, we get that the transition map between the generators of the first and second chart is given by the matrix with columns $(-1,0)$ and $(-1,1)$."///, PARA{},"An instance of class ToricVectorBundleKlyachko, when displayed or printed, gives an overview of the characteristics of the bundle:", EXAMPLE { " E = cotangentBundle(projectiveSpaceFan 2,\"Type\" => \"Kaneyama\")" }, PARA{}, "To see all relevant details of a bundle use ",TO details,". The data described above is all stored in a single hash table. In the example from above, the first chart has the key 0, and transition map described above has key (0,1):", EXAMPLE { " details E" }, Caveat=> {"This implementation only supports vector bundles where the corresponding transition maps have coefficients in ",TO QQ,"."}, SeeAlso => {ToricVectorBundleKlyachko, ToricVectorBundle} } document { Key => ToricVectorBundleKlyachko, Headline => "the class of all toric vector bundles in Klyachko's description", TEX ///"A toric vector bundle on a toric variety $X$ is a locally free sheaf $E$ together with an action of the torus $T$ on the geometric vector bundle $V(E)$ such that the projection to the base $X$ is equivariant, and the action of $T$ on the fibers is linear. There also is an induced action of $T$ on the local sections $s \in{} \Gamma(U,E)$ given by $(t*s)(x) = t^{ -1}(s(t x))$ . This implies that a regular section $x^u \in{} \Gamma(X,O_X)$ for an element $u$ in the character lattice $M$ also has weight $u$. Other choices for the induced action are possible. In fact, the upper one is different from Klyachko's in his original description where $x^u \in{} \Gamma(X,O_X)$ has weight $-u$. We denote by $E_0$ the fiber over the unit $t_0 \in{} T$, and by $U_\sigma \subset X$ the open affine torus invariant subset associated with the cone $\sigma$. The primitive generator of the ray $\rho$ in the fan $\Sigma$ is denoted by $v_\rho$. Evaluating local homogeneous sections $\Gamma(U_{\rho},E)_u$ of weight $u$ at $t_0$ provides us with an embedding of these finite dimensional vector spaces into $E_0$. One can show that the upper choice of the induced torus action implies that the image of $\Gamma(U_\rho,E)_{u_1}$ is contained in the image of $\Gamma(U_\rho,E)_{u_2}$ if and only if the pairing $(u_1-u_2,v_\rho) \leq 0$. Furthermore one observes that the image only depends on the class of the weight $u$ in the quotient lattice $M_\rho := M/M^\rho$, where $M^\rho$ denotes the intersection of $M$ with the vector space perpendicular to the ray $\rho$. Since $M_\rho \cong \mathbb{Z}$ we denote the image of $\Gamma(U_\rho,E)_u$ in $E_0$ by $E^\rho(i)$ with $i = (u,v_\rho)$. Each ray $\rho \in{} \Sigma$ thus gives rise to an increasing filtration $\{E^\rho(i)\}$ of $E_0$. Since $E_0$ is finite dimensional there is only a finite set of integers $i$ for which a jump occurs, i.e., $E^\rho(i)$ strictly contains $E^\rho(i-1)$. At all other steps the filtration remains constant. Apart from that, each open affine subset $U_\sigma$ for $\sigma \in{} \Sigma$ induces a direct sum decomposition of $E_0 = \oplus_{u \in{} M_\sigma}E^\sigma_u$ such that $E^\rho(i) = \sum_{(u,v_\rho) \leq i} E^\sigma_u$ for each $\rho \in{} \sigma$ and $i \in{} \mathbb{Z}$. Observe that the lattice $M_\sigma$ is defined analogously to the lattice $M_\rho$, i.e., it is the quotient lattice $M/M^\sigma$ where $M^\sigma$ denotes the intersection of $M$ with the vector space perpendicular to the cone $\sigma$."///, PARA{},"With the notation and conventions introduced above it is now possible to state the fundamental theorem of Klyachko which completely describes toric vector bundles in linear algebraic terms:", PARA{},TT "The category of toric vector bundles on the toric variety ",TEX ///$X$///, TT " is equivalent to the category of finite dimensional ",TEX ///$k$///, TT"-vector spaces ",TEX ///$E_0$///, TT" with collections of increasing filtrations ",TEX ///$\{E^{\rho}(i)| i \in{} \mathbb{Z}\}$///, TT", indexed by the rays of ",TEX ///$\Sigma$///, TT", satisfying the following compatibility condition: For each cone ",TEX ///$\sigma \in{} \Sigma$///, TT" there is a decomposition ",TEX ///$E_0 = \oplus_{u \in{} M_\sigma} E_u$///, TT" such that ",TEX ///$E^{\rho}(i) = \sum_{(u,v_\rho) \leq i} E_u$///, TT" for every ray ",TEX ///$\rho \in{} \sigma$///, TT" and every ",TEX ///$i \in{} \mathbb{Z}$///,".", PARA{}, TEX ///"In contrast to the implementation of Kaneyama's description this one works for every toric variety $X$ i.e., there are no restrictions on the fan $\Sigma$. For each ray $\rho$ of the fan $\Sigma$ there are two matrices comprising the necessary filtration data. The first one is an invertible matrix $A(\rho) \in{} $ GL("///,TT "k",",",TO QQ,TEX ///") whose columns contain a basis of the vector space $E_0$ which is associated to the filtration corresponding to the ray $\rho$. The second one is a ",TT "1 x k"," integer matrix, the so called filtration matrix. It determines at which step an element of the basis given in the first matrix actually contributes to a certain subspace in the filtration, i.e., if the j-th entry of the filtration matrix is i then the j-th basis vector appears at the i-th step in the filtration. Hence $E^{\rho}(i)$ is generated by all basis vectors listed in $A(\rho)$ whose corresponding entry in the filtration matrix is less or equal to $E_0$."///, PARA{}, TEX ///"To link up to the description of Kaneyama we will also discuss the example of the cotangent bundle $\mathbf{\Omega}_X$ of $X = \mathbb{P}^2$. Recall that $X$ can be given by the complete fan with rays $\rho_1 = (1,0)$, $\rho_2 = (0,1)$, and $\rho_3 = (-1,-1)$. There are three maximal cones, namely $\sigma_1$ spanned by $\rho_1,\rho_2$, $\sigma_2$ spanned by $\rho_2,\rho_3$, and $\sigma_3$ spanned by $\rho_3,\rho_1$. Each of them corresponds to a torus invariant affine chart $U_{\sigma_i}$. It follows that the $k[\sigma_1^v \cap M]$-module $\Gamma(U_{\sigma_1},\Omega_X)$ is generated by $dx := d(x^{[1,0]})$, and $dy := d(x^{[0,1]})$, and analogously for the remaining charts. We now fix a basis of $\Omega_0$ by evaluating the sections $dx,dy$ at the unit $t_0$. This gives rise to filtrations $\Omega^\rho(i)$. We only consider the example $\rho = \rho_3$. The filtrations for the two other rays can be found by analogous calculations. Now, $k[U_{\rho_3}] = k[x^{-1},x^{-1}y,xy^{-1}]$. Then, $\Gamma(U_{\rho_3},\Omega_X)$ is generated as a $k[U_{\rho_3}]$-module by $-x^{-2}dx, -x^{-2}ydx + x^{-1}dy$. Thus, $\Gamma(U_{\rho_3},\Omega_X)_{[1,0]} = 0$, $\Gamma(U_{\rho_3},\Omega_X)_{[0,0]}$ is generated by $xy^{-1}(-x^{-2}ydx + x^{-1}dy)$, and $\Gamma(U_{\rho_3},\Omega_X)_{[-1,0]}$ is two-dimensional. Since $[1,0], [0,0]$, and $[-1,0]$ pair with $v_{\rho_3}=(-1,-1)$ to respectively $-1, 0$, and $1$, the filtration $\Omega^{\rho_3}(i)$ jumps at $1$ and $0$ with corresponding basis vectors $(0,-1)$ and $(-1,1)$. Since $\Omega_X$ already is a vector bundle we do not have to check the compatibility conditions."///, PARA{},"An instance of class ToricVectorBundleKlyachko, when displayed or printed, gives an overview of the characteristics of the bundle:", EXAMPLE { " E = cotangentBundle(projectiveSpaceFan 2) " }, PARA{}, "To see all relevant details of a bundle use ",TO details,". The data described above are stored in a single hash table. In the example from above, the keys are the rays of the fan, and each of them comes with a base matrix and a filtration matrix:", EXAMPLE { " details E" }, SeeAlso => {ToricVectorBundleKaneyama, ToricVectorBundle} } document { Key => {addBaseChange, (addBaseChange,ToricVectorBundleKaneyama,List)}, Headline => "changing the transition matrices of a toric vector bundle", Usage => " F = addBaseChange(E,L)", Inputs => { "E" => ToricVectorBundleKaneyama, "L" => List => {"with matrices over ",TO ZZ," or ",TO QQ} }, Outputs => { "F" => ToricVectorBundleKaneyama }, PARA{}, TT "addBaseChange"," replaces the transition matrices in ",TT "E"," by the matrices in the ",TO List," ",TT "L",". The matrices in ",TT "L"," must be in GL(",TEX///$k$///,",",TO ZZ,") or GL(",TEX///$k$///,",",TO QQ,"), where ",TEX///$k$///," is the rank of the vector bundle ",TT "T",". The list has to contain one matrix for each maximal dimensional cone of the underlying fan over which ",TT "E"," is defined. The fan can be recovered with ",TO (fan,ToricVectorBundle),". The vector bundle already has a list of pairs ",TEX///$(i,j)$///," denoting the codim 1 intersections of two maximal cones with ",TEX///$i<j$///," and they are ordered in lexicographic order. The matrices will be assigned to the pairs ",TEX///$(i,j)$///," in that order. To see which codimension 1 cone corresponds to the pair ",TEX///$(i,j)$///," use ",TO (details,ToricVectorBundle),". The matrix ",TEX///$A$///," assigned to ",TEX///$(i,j)$///," denotes the transition ",TEX///$(e_i^1,...,e_i^k) = (e_j^1,...,e_j^k)*A$///,". The matrices need not satisfy the regularity or the cocycle condition. These can be checked with ",TO regCheck," and ",TO cocycleCheck,".", EXAMPLE { " E = toricVectorBundle(2,pp1ProductFan 2,\"Type\" => \"Kaneyama\")", " details E", " F = addBaseChange(E,{matrix{{1,2},{0,1}},matrix{{1,0},{3,1}},matrix{{1,-2},{0,1}},matrix{{1,0},{-3,1}}})", " details F", " cocycleCheck F" }, SeeAlso => {addDegrees,regCheck,cocycleCheck} } document { Key => {addBase, (addBase,ToricVectorBundleKlyachko,List)}, Headline => "changing the basis matrices of a toric vector bundle in Klyachko's description", Usage => "F = addBase(E,L)", Inputs => { "E" => ToricVectorBundleKlyachko, "L" => List => {"with matrices over ",TO ZZ," or ",TO QQ} }, Outputs => { "F" => ToricVectorBundleKlyachko }, PARA{}, TT "addBase"," replaces the basis matrices in ",TT "E"," by the matrices in the ",TO List," ",TT "L",". The matrices in ",TT "L"," must be in GL(",TEX///$k,R$///,"), where ",TEX///$k$///," is the rank of the vector bundle ",TT "E"," and ",TEX///$R$///," is ",TO ZZ," or ",TO QQ,". The list has to contain one matrix for each ray of the underlying fan over which ",TT "E"," is defined. Note that in ",TT "E"," the rays are already sorted and that the basis matrices in ",TT "L"," will be assigned to the rays in that order. To see the order use ",TO (rays,ToricVectorBundle),".", PARA{}, "The matrices need not satisfy the compatibility condition. This can be checked with ",TO isVectorBundle,".", EXAMPLE { " E = toricVectorBundle(2,pp1ProductFan 2)", " details E", " F = addBase(E,{matrix{{1,2},{3,1}},matrix{{-1,0},{3,1}},matrix{{1,2},{-3,-1}},matrix{{-1,0},{-3,-1}}})", " details F", " isVectorBundle F" }, SeeAlso => {base,addFiltration,isVectorBundle} } document { Key => {addDegrees, (addDegrees,ToricVectorBundleKaneyama,List)}, Headline => "changing the degrees of a toric vector bundle", Usage => " F = addDegrees(E,L)", Inputs => { "E" => ToricVectorBundleKaneyama, "L" => List => {"with matrices over ",TO ZZ} }, Outputs => { "F" => ToricVectorBundleKaneyama }, PARA{}, TT "addDegrees"," replaces the degree matrices in ",TT "E"," by the matrices in the ",TO List," ",TT "L",". The matrices in ",TT "L"," must be ",TEX///$n$///," by ",TEX///$k$///," matrices over ",TO ZZ,", where ",TEX///$k$///," is the rank of the vector bundle ",TT "E"," and ",TEX///$n$///," is the dimension of the underlying toric variety. The list has to contain one matrix for each maximal dimensional cone of the underlying fan over which ",TT "E"," is defined. Note that in ",TT "E"," the top dimensional cones are already sorted and that the degree matrices in ",TT "L"," will be assigned to the cones in that order. To find out the order use ",TO (maxCones,ToricVectorBundle),". The matrices need not satisfy the regularity condition. This can be checked with ",TO regCheck,".", EXAMPLE { " E = toricVectorBundle(2,pp1ProductFan 2,\"Type\" => \"Kaneyama\")", " details E", " F = addDegrees(E,{matrix{{1,2},{3,1}},matrix{{-1,0},{3,1}},matrix{{1,2},{-3,-1}},matrix{{-1,0},{-3,-1}}})", " details F", " regCheck F" }, SeeAlso => {addBaseChange,regCheck,cocycleCheck} } document { Key => {addFiltration, (addFiltration,ToricVectorBundleKlyachko,List)}, Headline => "changing the filtration matrices of a toric vector bundle in Klyachko's description", Usage => "F = addFiltration(E,L)", Inputs => { "E" => ToricVectorBundleKlyachko, "L" => List => {"with matrices over ",TO ZZ} }, Outputs => { "F" => ToricVectorBundleKlyachko }, PARA{}, TT "addFiltration"," replaces the filtration matrices in ",TT "E"," by the matrices in the ",TO List," ",TT "L",". The matrices in ",TT "L"," must be ",TEX///$1$///," by ",TEX///$k$///," matrices over ",TO ZZ,", where ",TEX///$k$///," is the rank of the vector bundle ",TT "E",". The list has to contain one matrix for each ray of the underlying fan over which ",TT "E"," is defined. Note that in ",TT "E"," the rays are already sorted and that the filtration matrices in ",TT "L"," will be assigned to the rays in that order. To see the order, use ",TO (rays,ToricVectorBundle),".", PARA{}, TEX ///"The filtration on the vector bundle over a ray is given by the filtration matrix for this ray in the following way: The first index $j$, such that the $i$-th basis vector in the basis over this ray appears in the $j$-th step of the filtration, is the $i$-th entry of the filtration matrix. OR in other words, the $j$-th step step in the filtration is given by all columns of the basis matrix for which the corresponding entry in the filtration matrix is less or equal to $j$."///, PARA{}, "The matrices need not satisfy the compatibility condition. This can be checked with ",TO isVectorBundle,".", EXAMPLE { " E = toricVectorBundle(2,pp1ProductFan 2)", " details E", " F = addFiltration(E,{matrix{{1,3}},matrix{{-1,3}},matrix{{2,-3}},matrix{{0,-1}}})", " details F", " isVectorBundle F" }, PARA{}, "This means that for example over the first ray the first basis vector of the filtration of ",TT "F"," appears at the filtration step 1 and the second at 3.", SeeAlso => {filtration,addBase,isVectorBundle} } document { Key => {areIsomorphic, (areIsomorphic,ToricVectorBundleKlyachko,ToricVectorBundleKlyachko)}, Headline => "checks if two vector bundles are isomorphic", Usage => " b = areIsomorphic(E,F)", Inputs => { "E" => ToricVectorBundleKlyachko, "F" => ToricVectorBundleKlyachko }, Outputs => { "b" => Boolean => {"whether ", TT "E", " and ", TT "F", " are isomorphic"} }, PARA{}, TT "E"," and ",TT "F"," must be vector bundles over the same fan and the filtrations must be defined over the same ring. Two equivariant vector bundles in Klyachko's description are isomorphic if there exists a simultaneous isomorphism for the filtered vector spaces of all rays. The method then returns whether the bundles are isomorphic.", EXAMPLE { " HF = hirzebruchFan 2", " E = exteriorPower(2, cotangentBundle HF)", " F = weilToCartier({-1,-1,-1,-1},HF)", " areIsomorphic(E,F)" }, PARA{}, "To obtain the isomorphism, if two bundles are isomorphic use ",TO (isomorphism,ToricVectorBundleKlyachko,ToricVectorBundleKlyachko),".", SeeAlso => {(isomorphism,ToricVectorBundleKlyachko,ToricVectorBundleKlyachko),base,filtration,details}, Caveat => {"If ",TT "E"," and ",TT "F"," are defined over different rings (e.g. ",TT "QQ"," and ",TT "ZZ",") then ",TT "areIsomorphic(E,F)"," will return ",TT "false",". Likewise, if the bundles are only defined over ",TT "ZZ",", the function will check for an isomorphism of the filtrations over ",TT "ZZ","."} } document { Key => {base, (base,ToricVectorBundleKlyachko)}, Headline => " the basis matrices for the rays", Usage => " b = base E", Inputs => { "E" => ToricVectorBundleKlyachko }, Outputs => { "b" => HashTable }, PARA{}, "The basis of a toric vector bundle in Klyachko's description is given for each ray as a square matrix of rank ",TEX///$k$///," of the bundle. The output is a ",TO HashTable," where the keys are the rays of the fan given as one column matrices over ",TO ZZ,", and for each ray a ",TEX///$k$///," by ",TEX///$k$///," matrix over ",TO QQ," and ",TEX///$k$///," is the rank of the bundle.", EXAMPLE { " E = tangentBundle hirzebruchFan 3", " base E" }, SeeAlso => {addBase,filtration,isVectorBundle} } document { Key => {cartierIndex, (cartierIndex,List,Fan)}, Headline => " the Cartier index of a Weil divisor", Usage => " N = cartierIndex(L,F)", Inputs => { "L" => List, "F" => Fan => {"a pure and full dimensional fan"} }, Outputs => { "N" => ZZ }, PARA{}, TT "L"," must be a list of weights, exactly one for each ray of the fan. Then the Cartier index is the smallest strictly positive natural number ",TEX ///$N$///," such that ",TEX ///$N$///," times the Weil divisor is Cartier. If the Weil divisor defined by these weights is not ",TO QQ,"-Cartier, then ",TEX ///$N$///," would be infinity. In this case ",TT "cartierIndex"," returns an error. Otherwise it returns ",TEX ///$N$///,".", EXAMPLE { " F = fan posHull matrix {{1,5},{5,1}}", " L = {2,2}", " cartierIndex(L,F)" }, PARA{}, "If we change the Weil divisor we get a different Cartier index:", EXAMPLE { " L = {3,3}", " cartierIndex(L,F)" }, Caveat=> {"The ordering of the list ",TT "L"," must correspond to the ordering of the rays of the fan output by ",TO raySortOfFan,"."}, SeeAlso => {weilToCartier} } document { Key => {charts, (charts,ToricVectorBundle)}, Headline => " the number of maximal affine charts", Usage => " n = charts E", Inputs => { "E" => ToricVectorBundle }, Outputs => { "n" => ZZ }, PARA{}, "The function ",TT "charts"," returns the number of maximal cones in the underlying fan, i.e., the number of affine charts.", EXAMPLE { " E = cotangentBundle pp1ProductFan 3", " charts E" }, SeeAlso => {"Polyhedra::Fan",(fan,ToricVectorBundle)} } document { Key => {cocycleCheck, (cocycleCheck,ToricVectorBundleKaneyama)}, Headline => " checks if a toric vector bundle fulfills the cocycle condition", Usage => " b = cocycleCheck E", Inputs => { "E" => ToricVectorBundleKaneyama }, Outputs => { "b" => Boolean => {"whether ", TT "E", " satisfies the cocyle condition"} }, PARA{}, "The transition matrices in ",TT "E"," define an equivariant toric vector bundle if they satisfy the cocycle condition. I.e. in this implementation of complete fans this means that for every codimension 2 cone of the fan the cycle of transition matrices of codimension 1 cones containing the codimension 2 cone gives the identity when multiplied.", EXAMPLE { " E = toricVectorBundle(2,pp1ProductFan 2,\"Type\" => \"Kaneyama\")", " details E", " A = matrix{{1,2},{0,1}};", " B = matrix{{1,0},{3,1}};", " C = matrix{{1,-2},{0,1}};", " E1 = addBaseChange(E,{A,B,C,matrix{{1,0},{0,1}}})", " cocycleCheck E1", " D = inverse(B)*A*C", " E1 = addBaseChange(E,{A,B,C,D})", " cocycleCheck E1" }, SeeAlso => {addBaseChange,addDegrees,regCheck} } document { Key => {(cohomology,ZZ,ToricVectorBundle)}, Headline => " the i-th cohomology group of a toric vector bundle", Usage => " c = HH^i E ", Inputs => { "i" => ZZ, "T" => ToricVectorBundle }, Outputs => { "c" => Module }, PARA{}, "Computes the ",TEX///$i$///,"-th cohomology group of the toric vector bundle ",TEX///$E$///,". The output is the ",TEX///$i$///,"-th cohomology group as a multigraded module. For this, it computes the set of all degrees that can give non-zero cohomology (see ",TO deltaE,"). This set is finite if the underlying toric variety is complete. If the toric variety is not complete then an error is returned.", PARA{},"The computation of the cohomology groups for a toric vector bundle given in terms of Kaneyama is done by the usual Cech cohomology complex, again separately for every degree ",TEX///$u \in{} M$///,".", PARA{}, "If the option ",TT "Degree => 1"," is used then it displays the number of degrees for which it computes the cohomology. ",TEX///$i$///," must be between ",TEX///$0$///," and the dimension of the underlying toric variety.", EXAMPLE { " E = tangentBundle(hirzebruchFan 3,\"Type\" => \"Kaneyama\")", " HH^0 E", " HH^0 (E,Degree => 1)" }, PARA{}, TEX ///"In case the toric vector bundle $E$ is given in Klyachko's description, there is a special exact sequence of finite dimensional vector spaces for every weight $u \in{} M$ whose cohomology groups in degree $i$ are isomorphic to $H^i(X,E)$. This exact sequence can be found in the Klyachko's paper listed on the main page of the documentation."///, PARA{}, "If the option ",TT "Degree => 1"," is used then it displays the number of degrees for which it computes the cohomology. ",TEX///$i$///," must be between ",TEX///$0$///," and the dimension of the underlying toric variety.", EXAMPLE { " E = tangentBundle hirzebruchFan 3", " HH^0 E", " HH^0 (E,Degree => 1)" }, SeeAlso => {(ring,ToricVectorBundle), deltaE, (cohomology,ZZ,ToricVectorBundle,Matrix), (cohomology,ZZ,ToricVectorBundle,List), (hh,ZZ,ToricVectorBundle), eulerChi} } document { Key => {(cohomology,ZZ,ToricVectorBundle,List)}, Headline => " the i-th cohomology of a toric vector bundle for a given list of degrees", Usage => " c = HH_i^E L", Inputs => { "i" => ZZ, "E" => ToricVectorBundle, "L" => List => {" containing weights of the form, one column matrix over ",TO ZZ} }, Outputs => { "c" => List }, PARA{}, TEX ///"Computes the $i$-th cohomology of the toric vector bundle $E$ for a given list of degrees. For this $i$ must be between $0$ and the rank of the vector bundle. The entries of the list "///,TT "L"," must be one column matrices each defining a point in the lattice of the fan over which ",TEX///$E$///," is defined", EXAMPLE { " E = tangentBundle hirzebruchFan 3", " HH_0^E {matrix{{1},{0}},matrix{{-1},{0}}}" }, SeeAlso => {(ring,ToricVectorBundle), deltaE, (cohomology,ZZ,ToricVectorBundle), (cohomology,ZZ,ToricVectorBundle,Matrix), (hh,ZZ,ToricVectorBundle), eulerChi} } document { Key => {(cohomology,ZZ,ToricVectorBundle,Matrix)}, Headline => " the i-th cohomology of a toric vector bundle in a given degree", Usage => " c = HH_i^E u ", Inputs => { "i" => ZZ, "E" => ToricVectorBundle, "u" => Matrix => {"over ",TO ZZ," with just one column, giving a weight in the lattice"} }, Outputs => { "c" => Module }, PARA{}, TEX ///"Computes the $i$-th cohomology group of the toric vector bundle $E$ of degree $u$ where $u$ must be a one-column matrix giving a point in the lattice of the fan over which $E$ is defined and $i$ must be between $0$ and the dimension of the underlying toric variety."///, EXAMPLE { " E = tangentBundle hirzebruchFan 3", " HH^0 (E,matrix{{1},{0}})" }, SeeAlso => {(ring,ToricVectorBundle), deltaE, (cohomology,ZZ,ToricVectorBundle), (cohomology,ZZ,ToricVectorBundle,List), (hh,ZZ,ToricVectorBundle), eulerChi} } document { Key => {(coker,ToricVectorBundleKlyachko,Matrix)}, Headline => " the cokernel of a morphism to a vector bundle", Usage => " E1 = coker(E,M)", Inputs => { "E" => ToricVectorBundleKlyachko, "M" => Matrix => {"over ",TO ZZ," or ",TO QQ} }, Outputs => { "E1" => ToricVectorBundleKlyachko }, PARA{}, TT "M"," must be a matrix over ",TO ZZ," or ",TO QQ," where the target space is the space of the bundle, i.e., the matrix must have ",TEX///$k$///," rows if the bundle has rank ",TEX///$k$///,". Then the new bundle is given on each ray ",TEX///$\rho$///," by the following filtration of coker(E,M)",TEX///${}^\rho = ( E^{\rho} ) / $///,"im(M) :", PARA{}, "coker(E,M)",TEX///${}^\rho(i) := E^{\rho}(i) / ( E^{\rho}(i) \cap $///," im(M) ).", EXAMPLE { " E = tangentBundle hirzebruchFan 2", " E = E ** E", " M = matrix {{1,0},{0,1},{1,0},{0,1/1}}", " E1 = coker(E,M)", " details E1" }, SeeAlso => {(image,ToricVectorBundleKlyachko,Matrix), (ker,ToricVectorBundleKlyachko,Matrix)} } document { Key => {cotangentBundle, (cotangentBundle,Fan)}, Headline => " the cotangent bundle on a toric variety", Usage => " E = cotangentBundle F", Inputs => { "F" => Fan }, Outputs => { "E" => {ofClass ToricVectorBundleKaneyama," or ",ofClass ToricVectorBundleKlyachko} }, PARA{}, "If the fan ",TT "F"," is pure, of full dimension and smooth, then the function generates the cotangent bundle of the toric variety given by ",TT "F",". If no further options are given then the resulting bundle will be in Klyachko's description:", EXAMPLE { " F = projectiveSpaceFan 2", " E = tangentBundle F", " details E" }, PARA{}, "If the option ",TT "\"Type\" => \"Kaneyama\""," is given then the resulting bundle will be in Kaneyama's description:", EXAMPLE { " F = projectiveSpaceFan 2", " E = tangentBundle(F,\"Type\" => \"Kaneyama\")", " details E" }, SeeAlso => {tangentBundle} } document { Key => {deltaE, (deltaE,ToricVectorBundle)}, Headline => " the polytope of possible degrees that give non zero cohomology", Usage => " P = deltaE E", Inputs => { "E" => ToricVectorBundle }, Outputs => { "P" => Polyhedron }, PARA{}, "For a toric vector bundle over a complete toric variety there is a finite set of degrees ",TEX///$u$///," such that the degree ",TEX///$u$///," part of the cohomology of the vector bundle is non-zero. This function computes a polytope ",TEX///$\Delta_E$///,", such that these degrees are contained in this polytope. If the underlying toric variety is not complete then an error is returned.", EXAMPLE { " E = toricVectorBundle(2,pp1ProductFan 2)", " P = deltaE E", " vertices P", " E1 = tangentBundle projectiveSpaceFan 2", " P1 = deltaE E1", " vertices P1" }, SeeAlso => {eulerChi, (cohomology,ZZ,ToricVectorBundle), (hh,ZZ,ToricVectorBundle)} } document { Key => {details, (details,ToricVectorBundle)}, Headline => " the details of a toric vector bundle", Usage => " ht = details E", Inputs => { "E" => ToricVectorBundle }, Outputs => { "ht" => Sequence => {" or ",TO HashTable," if the bundle is in Klyachko's description"} }, PARA{}, "For a toric vector bundle in Kaneyama's description, the sequence ",TT "ht"," contains a hash table that assigns to each maximal cone ",TEX///$\sigma$///," of the underlying fan its matrix of rays and its matrix of degrees, and a hash table giving a transition matrix for every pair of maximal cones that intersect in a codimension 1 face.", EXAMPLE { " E = tangentBundle(pp1ProductFan 2,\"Type\" => \"Kaneyama\")", "details E" }, PARA{}, "For a toric vector bundle in Klyachko's description, the hash table ",TT "ht"," contains the rays of the underlying fan and for each ray the basis of the bundle over this ray and the filtration matrix.", EXAMPLE { " E = tangentBundle pp1ProductFan 2", "details E" } } document { Key => (dual,ToricVectorBundle), Headline => " the dual bundle of a toric vector bundle", Usage => " Ed = dual E", Inputs => { "E" => ToricVectorBundle }, Outputs => { "Ed" => ToricVectorBundle }, PARA{}, TT "dual"," computes the dual vector bundle of a toric vector bundle.", EXAMPLE { " E = tangentBundle(pp1ProductFan 2,\"Type\" => \"Kaneyama\")", " Ed = dual E", " details Ed", " Ed == cotangentBundle(pp1ProductFan 2,\"Type\" => \"Kaneyama\")" }, EXAMPLE { " E = tangentBundle projectiveSpaceFan 2", " Ed = dual E", " details Ed", " Ed == cotangentBundle projectiveSpaceFan 2" }, SeeAlso => {tangentBundle,cotangentBundle} } document { Key => {eulerChi, (eulerChi,ToricVectorBundle), (eulerChi,Matrix,ToricVectorBundle)}, Headline => " the Euler characteristic of a toric vector bundle", Usage => " i = eulerChi E \neulerChi(u,E)", Inputs => { "E" => ToricVectorBundle, "u" => Matrix => {"with just one column over ",TO ZZ," representing a degree vector"} }, Outputs => { "i" => ZZ }, PARA{}, "This function computes the Euler characteristic of a vector bundle if only the bundle is given to the function. For this it first computes the set of all degrees that give non-zero cohomology (see ",TO deltaE,") and then computes the Euler characteristic for each these degrees. If the underlying variety is not complete then this set may not be finite. Thus, for a non-complete toric variety an error is returned.", PARA{}, "If in addition a one-column matrix over ",TO ZZ,", representing a degree vector ",TT "u",", is given, it computes the Euler characteristic of the degree ",TT "u","-part of the vector bundle ",TT "E",". For this the variety need not be complete.", EXAMPLE { " E = tangentBundle hirzebruchFan 3", " u = matrix {{0},{0}}", " eulerChi(u,E)", " eulerChi E" }, EXAMPLE { " E = tangentBundle(hirzebruchFan 3,\"Type\" => \"Kaneyama\")", " u = matrix {{0},{0}}", " eulerChi(u,E)", " eulerChi E" }, SeeAlso => {deltaE, (cohomology,ZZ,ToricVectorBundle), (hh,ZZ,ToricVectorBundle)} } document { Key => {existsDecomposition, (existsDecomposition,ToricVectorBundleKlyachko,List)}, Headline => " checks if a list of matrices of weight vectors for each maximal cone admits a decomposition", Usage => " b = existsDecomposition(E,L)", Inputs => { "E" => ToricVectorBundleKlyachko, "L" => List }, Outputs => { "b" => Boolean => {"whether there exists a decomposition"} }, PARA{}, "The list ",TT "L"," must have one entry for each maximal cone ",TEX///$\sigma$///," in the underlying fan ",TEX///$\Sigma$///," of ",TT "E",". If the rank of the bundle is ",TEX///$k$///," and the ambient dimension of the variety is ",TEX///$n$///," then each entry must either be an ",TEX///$n$///," by ",TEX///$k$///," matrix over ",TO ZZ," or a list of these. Then it checks for each maximal cone in the fan (given in the order of ",TO (maxCones,ToricVectorBundle),") if for any of the matrices in the corresponding entry in ",TT "L"," these weight vectors admit a decomposition of the bundle into torus eigenspaces. See ", HREF("http://math.stanford.edu/~sampayne/", "Sam Payne's"), " ", EM "Moduli of toric vector bundles", ", Compositio Math. 144, 2008. Lemma 3.5.", PARA{}, "One can for example use the output of the function ",TO findWeights,".", EXAMPLE{ " E = tangentBundle projectiveSpaceFan 3", " L = findWeights E", " existsDecomposition(E,L)" }, PARA{}, "Note that the data given in the description of ",TT "E"," defines an equivariant vector bundle on the toric variety exactly if there exists a set of weight vectors for each maximal cone that admits a decomposition. The function ",TO isVectorBundle," uses this.", Caveat => {TT "existsDecomposition"," is known to produce incorrect output."}, SeeAlso => {findWeights,isVectorBundle,(maxCones,ToricVectorBundle)} } document { Key => {(exteriorPower,ZZ,ToricVectorBundle)}, Headline => " the 'l'-th exterior power of a toric vector bundle", Usage => " Ee = exteriorPower(l,E)", Inputs => { "l" => ZZ => {" strictly positive"}, "E" => ToricVectorBundle }, Outputs => { "Ee" => ToricVectorBundle }, PARA{}, TT "exteriorPower"," computes the ",TT "l","-th exterior power of a toric vector bundle in each description. The resulting bundle will be given in the same description as the original bundle. ",TT "l"," must be strictly positive and at most equal the rank of the bundle.", EXAMPLE { " E = tangentBundle hirzebruchFan 3", " details E", " Ee = exteriorPower(2,E)", " details Ee" }, SeeAlso => {(symbol ++,ToricVectorBundle,ToricVectorBundle), (tensor,ToricVectorBundle,ToricVectorBundle), (symmetricPower,ZZ,ToricVectorBundle)} } document { Key => {(fan,ToricVectorBundle)}, Headline => " the underlying fan of a toric vector bundle", Usage => " F = fan E", Inputs => { "E" => ToricVectorBundle }, Outputs => { "F" => Fan }, PARA{}, "Returns the fan of the underlying toric variety. This is an object of the package Polyhedra. See also ",TO "Polyhedra::Fan",".", EXAMPLE { " E = tangentBundle hirzebruchFan 3", " F = fan E", " rays F" }, SeeAlso => {"Polyhedra::Fan",charts,(maxCones,ToricVectorBundle)} } document { Key => {filtration, (filtration,ToricVectorBundleKlyachko)}, Headline => " the filtration matrices of the vector bundle", Usage => " f = filtration E", Inputs => { "E" => ToricVectorBundleKlyachko }, Outputs => { "f" => HashTable }, PARA{}, "For each ray of the fan there is a filtration matrix. If the bundle has rank ",TEX///$k$///," then this is a one row matrix over ",TO ZZ," with ",TEX///$k$///," entries. This defines the filtration on the corresponding base matrix (see ",TO base,") such that the ",TEX///$j$///,"-th filtration is generated by all columns of the base matrix for which the entry in the same column of the filtration matrix is less or equal to ",TEX///$j$///,".", EXAMPLE { " E = tangentBundle hirzebruchFan 2", " filtration E" }, PARA{}, "So in this example for each ray the first column of the basis appears at -1 and the second at 0.", SeeAlso => {addFiltration,base,isVectorBundle} } document { Key => {findWeights, (findWeights,ToricVectorBundleKlyachko)}, Headline => " finds the possible weight vectors for the maximal cones", Usage => " L = findWeights E", Inputs => { "E" => ToricVectorBundleKlyachko }, Outputs => { "L" => List }, PARA{}, "The list ",TT "L"," contains a list for each maximal cone ",TEX///$\sigma$///," of the underlying fan. For each maximal cone ",TEX///$\sigma$///," this list contains all matrices of possible weight vectors, that induce the filtrations on the rays of this cone (modulo permutations, but yet not all permutations). This means that for one of these matrices ",TEX///$M$///," multiplied with the matrix ",TEX///$R$///," of rays of this cone (the rays are the rows) gives the matrix of filtrations of these rays (where for each filtration the entries may be permuted).", EXAMPLE{ " E = tangentBundle projectiveSpaceFan 3", " findWeights E" }, SeeAlso => {filtration,existsDecomposition,isVectorBundle} } document { Key => {(ring,ToricVectorBundle)}, Headline => " the graded ring of the bundle", Usage => " R = ring E", Inputs => { "E" => ToricVectorBundle }, Outputs => { "R" => Ring }, PARA{}, "For a vector bundle in Kaneyama's description the graded ring is ",TO QQ," with degree space the lattice of the underlying fan.", EXAMPLE{ " E = tangentBundle(projectiveSpaceFan 3,\"Type\" => \"Kaneyama\")", " ring E" }, PARA{}, "For a vector bundle in Klyachko's description the graded ring is ",TO QQ," with degree space the lattice of the underlying fan.", EXAMPLE{ " E = toricVectorBundle(1,projectiveSpaceFan 2, toList(3:matrix{{1/2}}),toList(3:matrix{{-1}}))", " ring E" }, SeeAlso => {(cohomology,ZZ,ToricVectorBundle), (cohomology,ZZ,ToricVectorBundle,Matrix), (cohomology,ZZ,ToricVectorBundle,List)} } document { Key => {(hh,ZZ,ToricVectorBundle)}, Headline => " the rank of the i-th cohomology group of a toric vector bundle", Usage => " d = hh^i E \nd = hh^i (E,u)", Inputs => { "i" => ZZ, "E" => {"and an optional ",TT "u",", ",ofClass Matrix," over ",TO ZZ,", giving a point in the lattice of the fan"} }, Outputs => { "d" => ZZ }, PARA{}, TT "hh^i"," computes the rank of the ",TEX///$i$///,"-th cohomology group. If no further argument is given then it returns the rank of the complete cohomology group. For this it computes the set of all degrees that can give non-zero cohomology (see ",TO deltaE,"). This set is finite if the underlying toric variety is complete. If the toric variety is not complete, then an error is returned.", PARA{}, "If in addition a one column matrix ",TEX///$u$///," over ",TO ZZ," is given it returns the rank of the degree ",TEX///$u$///," part of the cohomology group. For this the variety need not be complete.", EXAMPLE { " E = tangentBundle hirzebruchFan 2", " u = matrix{{0},{0}}", " hh^0 (E,u)", " hh^0 E" }, SeeAlso => {(cohomology,ZZ,ToricVectorBundle), (cohomology,ZZ,ToricVectorBundle,Matrix), (cohomology,ZZ,ToricVectorBundle,List), deltaE} } document { Key => {hirzebruchFan,(hirzebruchFan,ZZ)}, Headline => "the fan of the n-th Hirzebruch surface", Usage => " F = hirzebruchFan n", Inputs => { "n" => ZZ => {"positive"} }, Outputs => { "F" => Fan }, PARA{}, "Generates the fan of the ",TEX///$n$///,"-th Hirzebruch surface.", EXAMPLE { " F = hirzebruchFan 3", " rays F" }, SeeAlso => {"Polyhedra::Fan", "Polyhedra::hirzebruch", pp1ProductFan, projectiveSpaceFan} } document { Key => {(image,ToricVectorBundleKlyachko,Matrix)}, Headline => " the image of a vector bundle under a morphism", Usage => " E1 = image(E,M)", Inputs => { "E" => ToricVectorBundleKlyachko, "M" => Matrix => {"over ",TO ZZ," or ",TO QQ} }, Outputs => { "E1" => ToricVectorBundleKlyachko }, PARA{}, TT "M"," must be a matrix over ",TO ZZ," or ",TO QQ," where the source space is the space of the bundle, i.e., the matrix must have ",TEX///$k$///," columns if the bundle has rank ",TEX///$k$///,". Then the new bundle is given on each ray ",TEX///$\rho$///," by the following filtration of image",TEX///$(E,M)^\rho := M(E^\rho)$///," :", PARA{}, "image",TEX///$(E,M)^\rho(i) := M(E^\rho(i))$///,".", EXAMPLE { " E = tangentBundle hirzebruchFan 2", " E = E ** E", " M = matrix {{1,0,1,0},{0,1,0,1/1}}", " E1 = image(E,M)", " details E1" }, SeeAlso => {(coker,ToricVectorBundleKlyachko,Matrix), (ker,ToricVectorBundleKlyachko,Matrix)} } document { Key => {isGeneral, (isGeneral,ToricVectorBundleKlyachko)}, Headline => " checks whether a toric vector bundle is general", Usage => " b = isGeneral E", Inputs => { "E" => ToricVectorBundleKlyachko }, Outputs => { "b" => Boolean => {"whether ", TT "E", " is general"} }, PARA{}, TEX ///"A toric vector bundle in Klyachko's description is general if for every maximal cone $\Sigma$ in the fan the following condition holds: Let $\rho_1,...,\rho_l$ be the rays of $\sigma$. Then for every choice of filtration steps $i_1,...,i_l$ for each ray, i.e., choose an integer for each ray where the filtration enlarges, the equation"///, PARA{}, "codim ",TEX///$(\cap E^{\rho_j} ( i_j )) = min \{ \sum ($///,"codim ",TEX///$E^{\rho_j} ( i_j )),rank E \}$///, PARA{}, "holds.", EXAMPLE { " E = cotangentBundle hirzebruchFan 2", " isGeneral E" }, SeeAlso => {filtration,base,randomDeformation} } document { Key => {(isomorphism,ToricVectorBundleKlyachko,ToricVectorBundleKlyachko)}, Headline => " the isomorphism if the two bundles are isomorphic", Usage => " M = isomorphism(E,F)", Inputs => { "E" => ToricVectorBundleKlyachko, "F" => ToricVectorBundleKlyachko }, Outputs => { "M" => Matrix => {"over the ring over which the two bundles are defined"} }, PARA{}, "Two equivariant vector bundles in Klyachko's description are isomorphic if there exists a simultaneous isomorphism for the filtered vector spaces of all rays. If the two bundles are isomorphic (see ",TO areIsomorphic,") this function returns the isomorphism. For this, the two bundles must be defined over the same fan.", EXAMPLE{ " HF = hirzebruchFan 2", " E = exteriorPower(2, cotangentBundle HF)", " F = weilToCartier({-1,-1,-1,-1},HF)", " M = isomorphism(E,F)" }, SeeAlso => {areIsomorphic,base,filtration,details} } document { Key => {isVectorBundle, (isVectorBundle,ToricVectorBundle)}, Headline => " checks if the data does in fact define an equivariant toric vector bundle", Usage => " b = isVectorBundle E", Inputs => { "E" => ToricVectorBundle }, Outputs => { "b" => Boolean => {"whether ",TT "E"," defines a toric vector bundle"} }, PARA{}, "If ",TT "E"," is in Klyachko's description then the data in ",TT "E"," defines an equivariant toric vector on the toric variety if and only if for each maximal cone exists a decomposition into torus eigenspaces of the bundle. See ",HREF("http://math.stanford.edu/~sampayne/", "Sam Payne's"), " ", EM "Moduli of toric vector bundles", ", Compositio Math. 144, 2008. Section 2.3. This uses the two functions ",TO findWeights," and ",TO existsDecomposition,".", EXAMPLE{ " E = toricVectorBundle(2,pp1ProductFan 2)", " E = addBase(E,{matrix{{1,2},{3,1}},matrix{{-1,0},{3,1}},matrix{{1,2},{-3,-1}},matrix{{-1,0},{-3,-1}}})", " isVectorBundle E", " F = toricVectorBundle(1,normalFan crossPolytope 3)", " F = addFiltration(F,apply({2,1,1,2,2,1,1,2}, i -> matrix {{i}}))", " isVectorBundle F" }, PARA{}, "If ",TT "E"," is in Kaneyama's description then data in ",TT "E"," defines an equivariant toric vector bundle on the toric variety if and only if it satisfies the regularity and the cocycle condition (See ",TO cocycleCheck," and ",TO regCheck,").", EXAMPLE{ " E = toricVectorBundle(2,pp1ProductFan 2,\"Type\" => \"Kaneyama\")", " isVectorBundle E", " E = addBaseChange(E,{matrix{{1,2},{3,1}},matrix{{-1,0},{3,1}},matrix{{1,2},{-3,-1}},matrix{{-1,0},{-3,-1}}})", " isVectorBundle E" }, Caveat => {TT "isVectorBundle"," is known to produce incorrect output for Klyachko bundles. The user is recommended to instead use ",TT "isLocallyFree"," from the package ",TT "PositivityToricBundles","."}, SeeAlso => {findWeights, existsDecomposition, addBase, addFiltration, cocycleCheck, regCheck, addBaseChange, addDegrees, details} } document { Key => {(ker,ToricVectorBundleKlyachko,Matrix)}, Headline => " the kernel of a morphism to a vector bundle", Usage => " E1 = ker(E,M)", Inputs => { "E" => ToricVectorBundleKlyachko, "M" => Matrix => {"over ",TO ZZ," or ",TO QQ} }, Outputs => { "E1" => ToricVectorBundleKlyachko }, PARA{}, TT "M"," must be a matrix over ",TO ZZ," or ",TO QQ," where the source space is the space of the bundle, i.e., the matrix must have ",TEX///$k$///," columns if the bundle has rank ",TEX///$k$///,". Then the new bundle is given on each ray ",TEX///$\rho$///," by the following filtration of ker",TEX///$(E,M)^\rho := $///," ker",TEX///$(M) \cap (E^\rho)$///," :", PARA{}, "ker",TEX///$(E,M)^\rho(i) := $///," ker",TEX///$(M) \cap E^\rho(i)$///,".", EXAMPLE { " E = tangentBundle hirzebruchFan 2", " E = E ** E", " M = matrix {{1,0,1,0},{0,1,0,1/1}}", " E1 = ker(E,M)", " details E1" }, SeeAlso => {(coker,ToricVectorBundleKlyachko,Matrix), (image,ToricVectorBundleKlyachko,Matrix)} } document { Key => {(maxCones,ToricVectorBundle)}, Headline => " the list of maximal cones of the underlying fan", Usage => " L = maxCones E", Inputs => { "E" => ToricVectorBundle }, Outputs => { "L" => List => {" of cones"} }, PARA{}, "Returns the list of maximal cones of the underlying fan. These are the cones that generate the fan, i.e., are not a face of another. See ",TO "Polyhedra::Fan",", ",TO "Polyhedra::maxCones"," and ",TO "Polyhedra::Cone",".", EXAMPLE { " E = tangentBundle pp1ProductFan 2", " L = maxCones E", " apply(L,rays)" }, EXAMPLE { " E = tangentBundle(pp1ProductFan 2,\"Type\" => \"Kaneyama\")", " L = maxCones E", " apply(L,rays)" }, SeeAlso => {"Polyhedra::Fan", "Polyhedra::maxCones", "Polyhedra::Cone", charts, (fan,ToricVectorBundle), (rays,ToricVectorBundle)} } document { Key => (net,ToricVectorBundleKaneyama), Headline => "displays characteristics of a toric vector bundle", Usage => " net E", Inputs => { "E" => ToricVectorBundleKaneyama }, PARA{}, "Displays an overview of the properties of a toric vector bundle, the dimension of the variety, the number of affine charts, and the rank of the vector bundle.", EXAMPLE { " E = tangentBundle(hirzebruchFan 3,\"Type\" => \"Kaneyama\");", " net E" }, SeeAlso => {(net,ToricVectorBundleKlyachko), details} } document { Key => (net,ToricVectorBundleKlyachko), Headline => "displays characteristics of a toric vector bundle in Klyachko's description", Usage => " net E", Inputs => { "E" => ToricVectorBundleKlyachko }, PARA{}, "Displays an overview of the properties of a toric vector bundle, the dimension of the variety, the number of affine charts, the number of rays of the fan, and the rank of the vector bundle.", EXAMPLE { " E = tangentBundle hirzebruchFan 3;", " net E" }, SeeAlso => {(net,ToricVectorBundleKaneyama), details} } document { Key => {pp1ProductFan,(pp1ProductFan,ZZ)}, Headline => "the fan of n products of PP^1", Usage => " F = pp1ProductFan n", Inputs => { "n" => ZZ => {"strictly positive"} }, Outputs => { "F" => Fan }, PARA{}, "Generates the fan of the product of ",TEX///$n$///," projective one-spaces. This is the same as the normal fan of the ",TEX///$n$///," dimensional hypercube.", EXAMPLE { " F = pp1ProductFan 2", " rays F", " maxCones F" }, SeeAlso => {"Polyhedra::Fan", hirzebruchFan, projectiveSpaceFan} } document { Key => {projectiveSpaceFan,(projectiveSpaceFan,ZZ)}, Headline => "the fan of projective n space", Usage => " F = projectiveSpaceFan n", Inputs => { "n" => ZZ => {"strictly positive"} }, Outputs => { "F" => Fan }, PARA{}, "Generates the fan of projective ",TEX///$n$///,"-space.", EXAMPLE { " F = projectiveSpaceFan 2", " rays F", " maxCones F" }, SeeAlso => {"Polyhedra::Fan", hirzebruchFan, pp1ProductFan} } document { Key => {randomDeformation, (randomDeformation,ToricVectorBundleKlyachko,ZZ), (randomDeformation,ToricVectorBundleKlyachko,ZZ,ZZ)}, Headline => " a random deformation of a given toric vector bundle", Usage => " E1 = randomDeformation(E,h) \nE1 = randomDeformation(E,l,h)", Inputs => { "E" => ToricVectorBundleKlyachko, "l" => ZZ => {"less than ",TT "h"}, "h" => ZZ }, Outputs => { "E1" => ToricVectorBundleKlyachko }, PARA{}, TEX ///"For a bundle of rank $k$ the function "///,TT "randomDeformation",TEX ///" replaces each base matrix by a random $k$ by $k$ matrix with entries between $l$ and $h$. For this $h$ must be greater than $l$. If $l$ is not given then the random entries are between $0$ and $h$ and then $h$ must be strictly positive."///, EXAMPLE { " E = tangentBundle pp1ProductFan 2", " details E", " E1 = randomDeformation(E,-2,6)", " details E1" }, SeeAlso => {base,filtration,details,isGeneral}, Caveat =>{"In general, ",TT "randomDeformation"," will only produce a reflexive sheaf, not a locally free one. However, for smooth toric surfaces, equivariant reflexive sheaves are automatically locally free."} } document { Key => {(rank,ToricVectorBundle)}, Headline => " the rank of the vector bundle", Usage => " k = rank E", Inputs => { "E" => ToricVectorBundle }, Outputs => { "k" => ZZ }, PARA{}, "Returns the rank ",TEX///$k$///," of the toric vector bundle in Kaneyama's description.", EXAMPLE { " E = tangentBundle projectiveSpaceFan 3", " rank E" }, SeeAlso => {(rays,ToricVectorBundle), (fan,ToricVectorBundle), charts} } document { Key => {(rays,ToricVectorBundle)}, Headline => " the rays of the underlying fan", Usage => " L = rays E", Inputs => { "E" => ToricVectorBundle }, Outputs => { "L" => List }, PARA{}, "Returns the rays of the fan of the underlying toric variety as a list. Each ray is given as a one column matrix.", EXAMPLE { " E = cotangentBundle projectiveSpaceFan 2", " rays E" }, SeeAlso => {(rank,ToricVectorBundle), (fan,ToricVectorBundle), charts} } document { Key => {raySortOfFan}, Headline => "The sorted rays of the fan", Usage => " L = raySortOfFan F", Inputs => { "F" => Fan }, Outputs => { "L" => List }, PARA{}, "Returns the rays of the fan as a list. Each ray is given as a one column matrix. This list is sorted in the same order as is used with all routines involving Klyachko-style vector bundles.", EXAMPLE { " F = projectiveSpaceFan 2", " raySortOfFan F" } } document { Key => {regCheck, (regCheck,ToricVectorBundleKaneyama)}, Headline => " checking the regularity condition for a toric vector bundle", Usage => " b = regCheck E", Inputs => { "E" => ToricVectorBundleKaneyama }, Outputs => { "b" => Boolean => {"whether ", TT "E", " satisfies the regularity condition"} }, PARA{}, TEX ///"For a toric vector bundle in Kaneyama's description, the regularity condition means that for every pair of maximal cones $\sigma_1,\sigma_2$intersecting in a common codimension-one face, the two sets of degrees $d_1,d_2$ and the transition matrix $A_{1,2}$ fulfil the regularity condition. I.e. for every $i$ and $j$ we have that either the $(i,j)$ entry of the matrix $A_{1,2}$ is $0$ or the difference of the $i$-th degree vector of $d_1$ of $\sigma_1$ and the $j$-th degree vector of $d_2$ of $\sigma_2$ is in the dual cone of the intersection of $\sigma_1$ and $\sigma_2$."///, PARA{}, "Note that this is only necessary for toric vector bundles generated 'by hand' using ",TO addBaseChange," and ",TO addDegrees,", since bundles generated for example by ",TO tangentBundle," satisfy the condition automatically.", EXAMPLE { " E = tangentBundle(pp1ProductFan 2,\"Type\" => \"Kaneyama\")", " regCheck E" }, SeeAlso => {addBaseChange,addDegrees,cocycleCheck,isVectorBundle} } document { Key => {(symbol **,ToricVectorBundle,ToricVectorBundle)}, Headline => " the tensor product of two toric vector bundles", Usage => " E = E1 ** E2", Inputs => { "E1" => ToricVectorBundle, "E2" => ToricVectorBundle }, Outputs => { "E" => ToricVectorBundle }, PARA{}, "If ",TEX///$E_1$///," and ",TEX///$E_2$///," are defined over the same fan and in the same description, then ",TT "tensor"," computes the tensor product of the two vector bundles in this description", EXAMPLE { " E1 = toricVectorBundle(2,hirzebruchFan 3)", " E2 = tangentBundle hirzebruchFan 3", " E = E1 ** E2", " details E" }, EXAMPLE { " E1 = toricVectorBundle(2,hirzebruchFan 3,\"Type\" => \"Kaneyama\")", " E2 = tangentBundle(hirzebruchFan 3,\"Type\" => \"Kaneyama\")", " E = E1 ** E2", " details E" }, SeeAlso => {(tensor,ToricVectorBundle,ToricVectorBundle), (symbol ++,ToricVectorBundle,ToricVectorBundle), (exteriorPower,ZZ,ToricVectorBundle), (symmetricPower,ZZ,ToricVectorBundle)} } document { Key => {(symbol ++,ToricVectorBundle,ToricVectorBundle)}, Headline => " the direct sum of two toric vector bundles", Usage => " E = E1 ++ E2", Inputs => { "E1" => ToricVectorBundle, "E2" => ToricVectorBundle }, Outputs => { "E" => ToricVectorBundle }, PARA{}, "If ",TEX///$E_1$///," and ",TEX///$E_2$///," are defined over the same fan, then ",TT "directSum"," computes the direct sum of the two vector bundles. The bundles must both be given in the same description and the resulting bundle will be in this description.", EXAMPLE { " E1 = toricVectorBundle(2,hirzebruchFan 3)", " E2 = tangentBundle hirzebruchFan 3", " E = E1 ++ E2", " details E" }, EXAMPLE { " E1 = toricVectorBundle(2,hirzebruchFan 3,\"Type\" => \"Kaneyama\")", " E2 = tangentBundle(hirzebruchFan 3,\"Type\" => \"Kaneyama\")", " E = E1 ++ E2", " details E" }, SeeAlso => {(symbol **,ToricVectorBundle,ToricVectorBundle), (tensor,ToricVectorBundle,ToricVectorBundle), (exteriorPower,ZZ,ToricVectorBundle), (symmetricPower,ZZ,ToricVectorBundle)} } document { Key => {(symbol ==,ToricVectorBundle,ToricVectorBundle)}, Headline => " checks for equality", Usage => " b = E1 == E2", Inputs => { "E1" => ToricVectorBundle, "E2" => ToricVectorBundle }, Outputs => { "E" => Boolean => {" whether the two toric vector bundles are equal"} }, PARA{}, "Checks if two toric vector bundles are identical. This only works if they are given in the same description.", EXAMPLE { " E1 = toricVectorBundle(2,hirzebruchFan 3)", " E2 = tangentBundle hirzebruchFan 3", " E1 == E2" }, EXAMPLE { " E1 = toricVectorBundle(2,hirzebruchFan 3,\"Type\" => \"Kaneyama\")", " E2 = tangentBundle(hirzebruchFan 3,\"Type\" => \"Kaneyama\")", " E1 == E2" }, SeeAlso => {areIsomorphic, (isomorphism,ToricVectorBundleKlyachko,ToricVectorBundleKlyachko)} } document { Key => {(symmetricPower,ZZ,ToricVectorBundle)}, Headline => " the 'l'-th symmetric power of a toric vector bundle", Usage => " Es = symmetricPower(l,E)", Inputs => { "l" => ZZ => {" strictly positive"}, "E" => ToricVectorBundle }, Outputs => { "Es" => ToricVectorBundle }, PARA{}, TT "symmetricPower"," computes the ",TEX///$l$///,"-th symmetric power of a toric vector bundle in each description. The resulting bundle will be given in the same description as the original bundle. ",TEX///$l$///," must be strictly positive.", EXAMPLE { " E = tangentBundle hirzebruchFan 3", " details E", " Es = symmetricPower(2,E)", " details Es" }, SeeAlso => {(exteriorPower,ZZ,ToricVectorBundle), (symbol ++,ToricVectorBundle,ToricVectorBundle), (tensor,ToricVectorBundle,ToricVectorBundle)} } document { Key => {tangentBundle, (tangentBundle,Fan)}, Headline => " the tangent bundle on a toric variety", Usage => " E = tangentBundle F", Inputs => { "F" => Fan }, Outputs => { "E" => ToricVectorBundle }, PARA{}, "If the fan ",TT "F"," is pure, of full dimension and smooth, then the function generates the tangent bundle of the toric variety given by ",TT "F",". If no further options are given then the resulting bundle will be in Klyachko's description:", EXAMPLE { " F = pp1ProductFan 2", " E = tangentBundle F", " details E" }, PARA{}, "If the option ",TT "\"Type\" => \"Kaneyama\""," is given then the resulting bundle will be in Kaneyama's description:", EXAMPLE { " F = pp1ProductFan 2", " E = tangentBundle(F,\"Type\" => \"Kaneyama\")", " details E" }, SeeAlso => {cotangentBundle} } document { Key => {(tensor,ToricVectorBundle,ToricVectorBundle)}, Headline => " the tensor product of two toric vector bundles", Usage => " E = tensor(E1,E2)", Inputs => { "E1" => ToricVectorBundle, "E2" => ToricVectorBundle }, Outputs => { "E" => ToricVectorBundle }, PARA{}, "If ",TT "E1"," and ",TT "E2"," are defined over the same fan and are in the same description, then ",TT "tensor"," computes the tensor product of the two vector bundles in this description.", EXAMPLE { " E1 = toricVectorBundle(2,hirzebruchFan 3)", " E2 = tangentBundle hirzebruchFan 3", " E = tensor(E1,E2)", " details E" }, SeeAlso => {(symbol **,ToricVectorBundle,ToricVectorBundle), (symbol ++,ToricVectorBundle,ToricVectorBundle), (exteriorPower,ZZ,ToricVectorBundle), (symmetricPower,ZZ,ToricVectorBundle)} } document { Key => {toricVectorBundle, (toricVectorBundle,ZZ,Fan)}, Headline => " the trivial bundle of rank 'k' for a given fan", Usage => " E = toricVectorBundle(k,F)", Inputs => { "k" => ZZ => {" strictly positive"}, "F" => {"an object of class Fan"} }, Outputs => { "E" => ToricVectorBundle }, PARA{}, "For a given pure, full dimensional and pointed Fan ",TT "F"," the function ",TT "toricVectorBundle"," generates the trivial toric vector bundle of rank ",TT "k",".", PARA{}, TEX ///"If no further options are given then the resulting bundle will be in Klyachko's description: The basis assigned to every ray is the standard basis of $\mathbb{Q}^k$ and the filtration is given by $0$ for all $i<0$ and $\mathbb{Q}^k$ for $i>=0$."///, EXAMPLE{ " E = toricVectorBundle(2,projectiveSpaceFan 2)", " details E" }, PARA{}, "If the option ",TT "\"Type\" => \"Kaneyama\""," is given then the resulting bundle will be in Kaneyama's description: The degree vectors of this bundle are all zero vectors and the transition matrices are all the identity. Note that for Kaneyama's description only complete, pointed fans are implemented and thus a non complete fan will produce an error.", EXAMPLE { " E = toricVectorBundle(2,pp1ProductFan 2,\"Type\" => \"Kaneyama\")", " details E" }, SeeAlso => {addBaseChange, addDegrees, addBase, addFiltration, details, regCheck, cocycleCheck, isVectorBundle} } document { Key => (toricVectorBundle,ZZ,Fan,List,List), Headline => " a toric vector bundle of rank 'k' with given filtrations or degrees", Usage => " E = toricVectorBundle(k,F,L1,L2)", Inputs => { "k" => ZZ => {" strictly positive"}, "F" => {"an object of class Fan"}, "L1" => List, "L2" => List }, Outputs => { "E" => ToricVectorBundle }, PARA{}, "For a given pure, full dimensional and pointed fan ",TT "F"," the function ",TT "toricVectorBundle"," generates the toric vector bundle of rank ",TT "k"," given by the data in the two lists ",TT "L1"," and ",TT "L2",".", PARA{}, "If no further options are given then the resulting bundle will be in Klyachko's description: The first list ",TT "L1"," will give the basis matrices and the second list ",TT "L2"," will give the filtration matrices. Then the resulting vector bundle will have these basis and filtration matrices. The number of matrices in ",TT "L1"," must match the number of rays of the fan and they must be in GL(",TT "k",",",TEX///$R$///,") for ",TEX///$R$///," being ",TO ZZ," or ",TO QQ,". They will be assigned to the rays in the order they appear in ",TT "rays F",". The number of matrices in ",TT "L2"," must also match the number of rays, and they must be ",TEX///$1$///," times ",TT "k"," matrices over ",TO ZZ,". The assignment order is the same as for the basis matrices.", PARA{}, "Note that the basis and filtration matrices that are given to the function need not satisfy the compatibility condition. This can by checked by using ",TO regCheck,".", EXAMPLE { " L1 = {matrix {{1,0},{0,1}},matrix{{0,1},{1,0}},matrix{{-1,0},{-1,1}}}", " L2 = {matrix {{-1,0}},matrix{{-2,-1}},matrix{{0,1}}}", " E = toricVectorBundle(2,projectiveSpaceFan 2,L1,L2)", " details E" }, PARA{}, "If the option ",TT "\"Type\" => \"Kaneyama\""," is given then the resulting bundle will be in Kaneyama's description; Note that this is only implemented for complete, pointed fans: The first list ",TT "L1"," will give the degree matrices and the second list ",TT "L2"," will give the transition matrices. The number of matrices in ",TT "L1"," must match the number of maximal cones of the fan and they must be ",TEX///$n$///," times ",TT "k"," matrices over ",TO ZZ,". They will be assigned to the cones in the order they appear in ",TT "maxCones F",". The number of matrices in ",TT "L2"," must match the number of pairs of maximal cones that intersect in a common codimension-one face and must all be in GL(",TT "k",",",TO QQ,"). They will be assigned to the pairs ",TEX///$(i,j)$///," in lexicographic order.", PARA{}, "Note that the degrees and transition matrices that are given to the function need not satisfy the regularity or the cocycle condition. These can be checked by using ",TO regCheck," and ",TO cocycleCheck,".", EXAMPLE { " L1 = {matrix {{1,0},{0,1}},matrix{{0,1},{1,0}},matrix{{-1,0},{-1,1}}}", " L2 = {matrix {{-1,0},{0,-1}},matrix{{0,1},{1,0}},matrix{{0,-1},{-1,0}}}", " E = toricVectorBundle(2,projectiveSpaceFan 2,L1,L2,\"Type\" => \"Kaneyama\")", " details E" }, SeeAlso => {addBaseChange, addDegrees, addBase, addFiltration, details, regCheck, cocycleCheck, isVectorBundle} } document { Key => {twist, (twist,ToricVectorBundleKlyachko,List)}, Headline => " twists a toric vector bundle with a line bundle", Usage => " E1 = twist(E,L)", Inputs => { "E" => ToricVectorBundleKlyachko, "L" => List }, Outputs => { "E1" => ToricVectorBundleKlyachko }, PARA{}, TT "twist"," takes a toric vector bundle ",TEX///$E$///," in Klyachko's description and a list of integers ",TT "L",". The list must contain one entry for each ray of the underlying fan. Then it computes the twist of the vector bundle by the line bundle given by these integers (see ",TO weilToCartier,").", EXAMPLE { " E = tangentBundle hirzebruchFan 2", " L = {1,-2,3,-4}", " E1 = twist(E,L)", " details E1" }, Caveat=> {"The ordering of the list ",TT "L"," must correspond to the ordering of the rays of the fan output by ",TO raySortOfFan,"."}, SeeAlso => {weilToCartier,cartierIndex,details} } document { Key => {weilToCartier, (weilToCartier,List,Fan)}, Headline => " the line bundle given by a Cartier divisor", Usage => " E = weilToCartier(L,F)", Inputs => { "L" => List, "F" => Fan => {"a pure and full dimensional fan"} }, Outputs => { "E" => {ofClass ToricVectorBundleKaneyama ," or ", ofClass ToricVectorBundleKlyachko} }, PARA{}, TT "L"," must a list of weights, exactly one for each ray of the fan. Then the list of weights for each ray describes a Weil divisor on the toric variety. If the Weil divisor defined by these weights defines in fact a Cartier divisor, then ",TT "weilToCartier"," computes the toric vector bundle associated to the Cartier divisor.", PARA{}, "If no further options are given then the resulting bundle will be in Klyachko's description:", EXAMPLE { " F = hirzebruchFan 3", " E =weilToCartier({1,-3,4,-2},F)", " details E" }, PARA{}, "If the option ",TT "\"Type\" => \"Kaneyama\""," is given then the resulting bundle will be in Kaneyama's description:", EXAMPLE { " F = hirzebruchFan 3", " E =weilToCartier({1,-3,4,-2},F,\"Type\" => \"Kaneyama\")", " details E" }, Caveat=> {"The ordering of the list ",TT "L"," must correspond to the ordering of the rays of the fan output by ",TO raySortOfFan,"."}, SeeAlso => {cartierIndex} } --------------------------------------- -- TESTS --------------------------------------- -- Test 0 -- Checking toricVectorBundle for Kaneyama type TEST /// T = toricVectorBundle(2,pp1ProductFan 2,"Type" => "Kaneyama") assert(T#"baseChangeTable" === hashTable {(0,1) => map(QQ^2,QQ^2,1),(0,2) => map(QQ^2,QQ^2,1),(1,3) => map(QQ^2,QQ^2,1),(2,3) => map(QQ^2,QQ^2,1)}) assert(T#"degreeTable" === hashTable apply(facesAsCones(0,pp1ProductFan 2), C -> (rays C, linealitySpace C) => map(ZZ^2,ZZ^2,0))) assert(rank T == 2) assert(T#"dimension of the variety" == 2) L1 = {matrix {{1,0},{0,1}},matrix{{0,1},{1,0}},matrix{{-1,0},{-1,1}}} L2 = {matrix {{-1,0},{0,-1}},matrix{{0,1},{1,0}},matrix{{0,-1},{-1,0}}} T = toricVectorBundle(2,projectiveSpaceFan 2,L1,L2,"Type" => "Kaneyama") assert(T#"baseChangeTable" === hashTable {(0,1) => matrix {{-1/1,0},{0,-1}},(0,2) => matrix{{0/1,1},{1,0}},(1,2) => matrix{{0/1,-1},{-1,0}}}) assert(T#"degreeTable" === hashTable {(matrix {{1,-1},{0,-1}}, map(ZZ^2,0,0)) => matrix{{-1,0},{-1,1}}, (matrix {{1,0},{0,1}}, map(ZZ^2,0,0)) => matrix{{0,1},{1,0}}, (matrix {{-1,0},{-1,1}}, map(ZZ^2,0,0)) => matrix{{1,0},{0,1}}}) assert(rank T == 2) assert(T#"dimension of the variety" == 2) /// -- Test 1 -- Checking toricVectorBundle for Klyachko type TEST /// T = toricVectorBundle(2,pp1ProductFan 2); assert(T#"ring" === QQ) assert(T#"filtrationMatricesTable" === hashTable {matrix{{-1},{0}} => map(ZZ^1,ZZ^2,0),matrix{{0},{-1}} => map(ZZ^1,ZZ^2,0),matrix{{1},{0}} => map(ZZ^1,ZZ^2,0),matrix{{0},{1}} => map(ZZ^1,ZZ^2,0)}) assert(T#"baseTable" === hashTable{matrix{{-1},{0}} => map(QQ^2,QQ^2,1),matrix{{0},{-1}} => map(QQ^2,QQ^2,1),matrix{{1},{0}} => map(QQ^2,QQ^2,1),matrix{{0},{1}} => map(QQ^2,QQ^2,1)}) assert(rank T == 2) assert(T#"dimension of the variety" == 2) L1 = {matrix {{1,0},{0,1}},matrix{{0,1},{1,0}},matrix{{-1,0},{-1,1}}} L2 = {matrix {{-1,0}},matrix{{-2,-1}},matrix{{0,1}}} T = toricVectorBundle(2,projectiveSpaceFan 2,L1,L2) assert(T#"ring" === ZZ) assert(T#"filtrationMatricesTable" === hashTable {matrix{{-1},{-1}} => matrix{{-1,0}},matrix{{0},{1}} => matrix{{-2,-1}},matrix{{1},{0}} => matrix{{0,1}}}) assert(T#"baseTable" === hashTable {matrix{{-1},{-1}} => matrix {{1,0},{0,1}},matrix{{0},{1}} => matrix{{0,1},{1,0}},matrix{{1},{0}} => matrix{{-1,0},{-1,1}}}) assert(rank T == 2) assert(T#"dimension of the variety" == 2) /// -- Test 2 -- Checking addBaseChange and cocycleCheck TEST /// T = toricVectorBundle(2,pp1ProductFan 2,"Type" => "Kaneyama") T1 = addBaseChange(T,{matrix{{1,2},{0,1}},matrix{{1,0},{3,1}},matrix{{1,-2},{0,1}},matrix{{1,0},{-3,1}}}) assert cocycleCheck T1 T1 = addBaseChange(T,{matrix{{1,2},{0,1}},matrix{{1,0},{3,1}},matrix{{1,-2},{0,1}},matrix{{1,0},{-2,1}}}) assert not cocycleCheck T1 /// -- Test 3 -- Checking regCheck TEST /// T = toricVectorBundle(2,pp1ProductFan 2,"Type" => "Kaneyama") assert regCheck T T1 = addDegrees(T,{matrix{{1,2},{3,1}},matrix{{-1,0},{3,1}},matrix{{1,2},{-3,-1}},matrix{{-1,0},{-3,-1}}}) assert not regCheck T1 T1 = addDegrees(T,{matrix{{-1,0},{-3,-1}},matrix{{-1,0},{3,1}},matrix{{1,2},{-3,-1}},matrix{{1,2},{3,1}}}) assert regCheck T1 /// -- Test 4 -- Checking tangentBundle for Kaneyama TEST /// T = tangentBundle(pp1ProductFan 2,"Type" => "Kaneyama") assert(T#"baseChangeTable" === hashTable {(0,1) => map(QQ^2,QQ^2,{{1, 0}, {0, -1}}), (0,2) => map(QQ^2,QQ^2,{{-1, 0}, {0, 1}}), (1,3) => map(QQ^2,QQ^2,{{-1, 0}, {0, 1}}), (2,3) => map(QQ^2,QQ^2,{{1, 0}, {0, -1}})}) assert(T#"degreeTable" === hashTable {(matrix {{-1,0},{0,1}}, map(ZZ^2,0,0)) => matrix{{1,0},{0,-1}},(matrix {{-1,0},{0,-1}}, map(ZZ^2,0,0)) => matrix{{1,0},{0,1}},(matrix {{1,0},{0,1}}, map(ZZ^2,0,0)) => matrix{{-1,0},{0,-1}}, (matrix {{1,0},{0,-1}}, map(ZZ^2,0,0)) => matrix{{-1,0},{0,1}}}) assert(rank T == 2) assert(T#"dimension of the variety" == 2) T = tangentBundle(projectiveSpaceFan 3, "Type" => "Kaneyama") assert(T#"baseChangeTable" === hashTable {(0,1) => map(QQ^3,QQ^3,{{1, -1, 0}, {0, -1, 0}, {0, -1, 1}}), (0,2) => map(QQ^3,QQ^3,{{-1, 0, 0}, {-1, 1, 0}, {-1, 0, 1}}), (1,2) => map(QQ^3,QQ^3,{{-1, 1, 0}, {-1, 0, 0}, {-1, 0, 1}}), (0,3) => map(QQ^3,QQ^3,{{1, 0, -1}, {0, 0, -1}, {0, 1, -1}}), (1,3) => map(QQ^3,QQ^3,{{1, 0, -1}, {0, 1, -1}, {0, 0, -1}}), (2,3) => map(QQ^3,QQ^3,{{0, 0, -1}, {1, 0, -1}, {0, 1, -1}})}) assert(T#"degreeTable" === hashTable {(matrix {{1,0,0},{0,1,0},{0,0,1}}, map(ZZ^3,0,0)) => matrix{{-1,0,0},{0,-1,0},{0,0,-1}},(matrix {{1,0,-1},{0,1,-1},{0,0,-1}}, map(ZZ^3,0,0)) => matrix{{0,-1,0},{0,0,-1},{1,1,1}},(matrix {{0,-1,0},{1,-1,0},{0,-1,1}}, map(ZZ^3,0,0)) => matrix{{1,1,1},{0,-1,0},{0,0,-1}}, (matrix {{1,-1,0},{0,-1,0},{0,-1,1}}, map(ZZ^3,0,0)) => matrix{{0,-1,0},{1,1,1},{0,0,-1}}}) assert(rank T == 3) assert(T#"dimension of the variety" == 3) /// -- Test 5 -- Checking tangentBundle for Klyachko TEST /// T = tangentBundle hirzebruchFan 3 assert(T#"ring" === QQ) assert(T#"filtrationMatricesTable" === hashTable {matrix{{-1},{3}} => matrix{{-1,0}},matrix{{0},{-1}} => matrix{{-1,0}},matrix{{1},{0}} => matrix{{-1,0}},matrix{{0},{1}} => matrix{{-1,0}}}) assert(T#"baseTable" === hashTable {matrix{{-1},{3}} => matrix{{-1,1/3},{3,0}},matrix{{0},{-1}} => matrix{{0_QQ,1},{-1,0}},matrix{{1},{0}} => map(QQ^2,QQ^2,1),matrix{{0},{1}} => matrix{{0_QQ,1},{1,0}}}) assert(rank T == 2) assert(T#"dimension of the variety" == 2) T = tangentBundle pp1ProductFan 3 assert(T#"ring" === QQ) assert(T#"filtrationMatricesTable" === hashTable {matrix{{0},{1},{0}} => matrix{{-1,0,0}}, matrix{{-1},{0},{0}} => matrix{{-1,0,0}},matrix{{1},{0},{0}} => matrix{{-1,0,0}}, matrix{{0},{0},{-1}} => matrix{{-1,0,0}}, matrix{{0},{0},{1}} => matrix{{-1,0,0}}, matrix{{0},{-1},{0}} => matrix{{-1,0,0}}}) assert(T#"baseTable" === hashTable {matrix{{0},{1},{0}} => matrix{{0_QQ,1,0},{1,0,0},{0,0,1}}, matrix{{-1},{0},{0}} => matrix{{-1_QQ,0,0},{0,1,0},{0,0,1}},matrix{{1},{0},{0}} => matrix{{1_QQ,0,0},{0,1,0},{0,0,1}}, matrix{{0},{0},{-1}} => matrix{{0_QQ,1,0},{0,0,1},{-1,0,0}}, matrix{{0},{0},{1}} => matrix{{0_QQ,1,0},{0,0,1},{1,0,0}}, matrix{{0},{-1},{0}} => matrix{{0_QQ,1,0},{-1,0,0},{0,0,1}}}) assert(rank T == 3) /// -- Test 6 -- Checking cotangentBundle for Kaneyama TEST /// T = cotangentBundle(hirzebruchFan 3,"Type" => "Kaneyama") assert(T#"baseChangeTable" === hashTable {(0,1) => map(QQ^2,QQ^2,{{1, 0}, {0, -1}}), (0,2) => map(QQ^2,QQ^2,{{-1, 3}, {0, 1}}), (1,3) => map(QQ^2,QQ^2,{{-1, -3}, {0, 1}}), (2,3) => map(QQ^2,QQ^2,{{1, 0}, {0, -1}})}) assert(T#"degreeTable" === hashTable {(matrix {{1,0},{0,-1}}, map(ZZ^2,0,0)) => matrix{{1,0},{0,-1}},(matrix {{1,0},{0,1}}, map(ZZ^2,0,0)) => matrix{{1,0},{0,1}},(matrix {{0,-1},{1,3}}, map(ZZ^2,0,0)) => matrix{{-1,3},{0,1}}, (matrix {{0,-1},{-1,3}}, map(ZZ^2,0,0)) => matrix{{-1,-3},{0,-1}}}) assert(rank T == 2) assert(T#"dimension of the variety" == 2) T = cotangentBundle(pp1ProductFan 3, "Type" => "Kaneyama") assert(T#"baseChangeTable" === hashTable {(2,6) => matrix{{-1_QQ,0,0},{0,1,0},{0,0,1}}, (4,5) => matrix{{1_QQ,0,0},{0,1,0},{0,0,-1}}, (4,6) => matrix{{1_QQ,0,0},{0,-1,0},{0,0,1}}, (3,7) => matrix{{-1_QQ,0,0},{0,1,0},{0,0,1}}, (5,7) => matrix{{1_QQ,0,0},{0,-1,0},{0,0,1}}, (6,7) => matrix{{1_QQ,0,0},{0,1,0},{0,0,-1}}, (0,1) => matrix{{1_QQ,0,0},{0,1,0},{0,0,-1}}, (0,2) => matrix{{1_QQ,0,0},{0,-1,0},{0,0,1}}, (1,3) => matrix{{1_QQ,0,0},{0,-1,0},{0,0,1}}, (0,4) => matrix{{-1_QQ,0,0},{0,1,0},{0,0,1}}, (2,3) => matrix{{1_QQ,0,0},{0,1,0},{0,0,-1}}, (1,5) => matrix{{-1_QQ,0,0},{0,1,0},{0,0,1}}}) assert(T#"degreeTable" === hashTable {(matrix {{1,0,0},{0,1,0},{0,0,1}}, map(ZZ^3,0,0)) => matrix{{1,0,0},{0,1,0},{0,0,1}},(matrix {{-1,0,0},{0,1,0},{0,0,1}}, map(ZZ^3,0,0)) => matrix{{-1,0,0},{0,1,0},{0,0,1}},(matrix {{1,0,0},{0,-1,0},{0,0,1}}, map(ZZ^3,0,0)) => matrix{{1,0,0},{0,-1,0},{0,0,1}},(matrix {{1,0,0},{0,1,0},{0,0,-1}}, map(ZZ^3,0,0)) => matrix{{1,0,0},{0,1,0},{0,0,-1}},(matrix {{-1,0,0},{0,-1,0},{0,0,1}}, map(ZZ^3,0,0)) => matrix{{-1,0,0},{0,-1,0},{0,0,1}},(matrix {{-1,0,0},{0,1,0},{0,0,-1}}, map(ZZ^3,0,0)) => matrix{{-1,0,0},{0,1,0},{0,0,-1}},(matrix {{1,0,0},{0,-1,0},{0,0,-1}}, map(ZZ^3,0,0)) => matrix{{1,0,0},{0,-1,0},{0,0,-1}},(matrix {{-1,0,0},{0,-1,0},{0,0,-1}}, map(ZZ^3,0,0)) => matrix{{-1,0,0},{0,-1,0},{0,0,-1}}}) assert(rank T == 3) assert(T#"dimension of the variety" == 3) /// -- Test 7 -- Checking cotangentBundle for Klyachko TEST /// T = cotangentBundle hirzebruchFan 2 assert(T#"ring" === QQ) assert(T#"filtrationMatricesTable" === hashTable {matrix{{-1},{2}} => matrix{{1,0}},matrix{{0},{-1}} => matrix{{1,0}},matrix{{1},{0}} => matrix{{1,0}},matrix{{0},{1}} => matrix{{1,0}}}) assert(T#"baseTable" === hashTable {matrix{{-1},{2}} => matrix{{0,2},{1/2,1}},matrix{{0},{-1}} => matrix{{0_QQ,1},{-1,0}},matrix{{1},{0}} => map(QQ^2,QQ^2,1),matrix{{0},{1}} => matrix{{0_QQ,1},{1,0}}}) assert(rank T == 2) assert(T#"dimension of the variety" == 2) T = cotangentBundle pp1ProductFan 3 assert(T#"ring" === QQ) assert(T#"filtrationMatricesTable" === hashTable {matrix{{0},{1},{0}} => matrix{{1,0,0}}, matrix{{-1},{0},{0}} => matrix{{1,0,0}},matrix{{1},{0},{0}} => matrix{{1,0,0}}, matrix{{0},{0},{-1}} => matrix{{1,0,0}}, matrix{{0},{0},{1}} => matrix{{1,0,0}}, matrix{{0},{-1},{0}} => matrix{{1,0,0}}}) assert(T#"baseTable" === hashTable {matrix{{0},{1},{0}} => matrix{{0_QQ,1,0},{1,0,0},{0,0,1}}, matrix{{-1},{0},{0}} => matrix{{-1_QQ,0,0},{0,1,0},{0,0,1}},matrix{{1},{0},{0}} => matrix{{1_QQ,0,0},{0,1,0},{0,0,1}}, matrix{{0},{0},{-1}} => matrix{{0_QQ,1,0},{0,0,1},{-1,0,0}}, matrix{{0},{0},{1}} => matrix{{0_QQ,1,0},{0,0,1},{1,0,0}}, matrix{{0},{-1},{0}} => matrix{{0_QQ,1,0},{-1,0,0},{0,0,1}}}) assert(rank T == 3) /// -- Test 8 -- Checking isVectorBundle TEST /// T = toricVectorBundle(2,pp1ProductFan 2) T1 = addBase(T,{matrix{{1,2},{3,1}},matrix{{-1,0},{3,1}},matrix{{1,2},{-3,-1}},matrix{{-1,0},{-3,-1}}}) assert isVectorBundle T1 T = toricVectorBundle(1,normalFan crossPolytope 3) L = apply({2,1,1,2,2,1,1,2}, i -> matrix {{i}}); T = addFiltration(T,L) assert not isVectorBundle T /// -- Test 9 -- Checking deltaE for Kaneyama TEST /// T = toricVectorBundle(3,projectiveSpaceFan 2,"Type" => "Kaneyama") assert(deltaE T == convexHull matrix{{0},{0}}) T = tangentBundle(projectiveSpaceFan 2,"Type" => "Kaneyama") assert(deltaE T == convexHull matrix {{-1,2,-1},{-1,-1,2}}) T = cotangentBundle(pp1ProductFan 3,"Type" => "Kaneyama") assert(deltaE T == convexHull matrix {{-1,1,-1,1,-1,1,-1,1},{-1,-1,1,1,-1,-1,1,1},{-1,-1,-1,-1,1,1,1,1}}) /// -- Test 10 -- Checking deltaE for Klyachko TEST /// T = toricVectorBundle(3,projectiveSpaceFan 2) assert(deltaE T == convexHull matrix{{0},{0}}) T = tangentBundle projectiveSpaceFan 2 assert(deltaE T == convexHull matrix {{-1,2,-1},{-1,-1,2}}) T = cotangentBundle pp1ProductFan 3 assert(deltaE T == convexHull matrix {{-1,1,-1,1,-1,1,-1,1},{-1,-1,1,1,-1,-1,1,1},{-1,-1,-1,-1,1,1,1,1}}) /// -- Test 11 -- Checking cohomology for Kaneyama TEST /// T = toricVectorBundle(2,pp1ProductFan 2,"Type" => "Kaneyama") assert(sort degrees cohomology(0,T,matrix{{0},{0}}) == sort degrees (ring T)^{{0,0},{0,0}}) assert(sort degrees cohomology(0,T) == sort degrees (ring T)^{{0,0},{0,0}}) assert(sort degrees cohomology(1,T) == sort degrees (ring T)^0) assert(sort degrees cohomology(2,T) == sort degrees (ring T)^0) T1 = tangentBundle(pp1ProductFan 2,"Type" => "Kaneyama") assert(sort degrees cohomology(0,T1,matrix{{0},{0}}) == sort degrees (ring T1)^{{0,0},{0,0}}) assert(sort degrees cohomology(0,T1,matrix{{1},{1}}) == sort degrees (ring T1)^0) assert(sort degrees cohomology(0,T1) == sort degrees (ring T1)^{{1,0},{0,1},{0,0},{0,0},{0,-1},{-1,0}}) assert(sort degrees cohomology(1,T1) == sort degrees (ring T1)^0) assert(sort degrees cohomology(2,T1) == sort degrees (ring T1)^0) T = tangentBundle(hirzebruchFan 3 * projectiveSpaceFan 1,"Type" => "Kaneyama") assert(cohomology(0,T,{matrix {{2},{1},{0}}, matrix{{3},{1},{0}}}) == {(ring T)^{{-2,-1,0}},(ring T)^{{-3,-1,0}}}) assert(cohomology(1,T,{matrix {{-2},{-1},{0}}, matrix{{-1},{-1},{0}}}) == {(ring T)^{{2, 1, 0}},(ring T)^{{1, 1, 0}}}) assert(cohomology(2,T,matrix{{0},{0},{0}}) == (ring T)^0) assert(cohomology(3,T,matrix{{0},{0},{0}}) == (ring T)^0) /// -- Test 12 -- Checking cohomology for Klyachko TEST /// T = toricVectorBundle(2,pp1ProductFan 2) assert(sort degrees cohomology(0,T,matrix{{0},{0}}) == sort degrees (ring T)^{{0,0},{0,0}}) assert(sort degrees cohomology(0,T) == sort degrees (ring T)^{{0,0},{0,0}}) assert(sort degrees cohomology(1,T) == sort degrees (ring T)^0) assert(sort degrees cohomology(2,T) == sort degrees (ring T)^0) T1 = tangentBundle pp1ProductFan 2 assert(sort degrees cohomology(0,T1,matrix{{0},{0}}) == sort degrees (ring T1)^{{0,0},{0,0}}) assert(sort degrees cohomology(0,T1,matrix{{1},{1}}) == sort degrees (ring T1)^0) assert(sort degrees cohomology(0,T1) == sort degrees (ring T1)^{{1,0},{0,1},{0,0},{0,0},{0,-1},{-1,0}}) assert(sort degrees cohomology(1,T1) == sort degrees (ring T1)^0) assert(sort degrees cohomology(2,T1) == sort degrees (ring T1)^0) T = tangentBundle(hirzebruchFan 3 * projectiveSpaceFan 1) assert(sort degrees cohomology(0,T) == sort degrees (ring T)^{{0, 0, 1}, {1, 0, 0}, {0, 0, 0}, {0, 0, 0}, {0, 0, 0}, {-1, 0, 0}, {0, 0, -1}, {0, -1, 0}, {-1, -1, 0}, {-2, -1, 0}, {-3, -1, 0}}) assert(sort degrees cohomology(1,T) == sort degrees (ring T)^{{2, 1, 0}, {1, 1, 0}}) assert(sort degrees cohomology(2,T) == sort degrees (ring T)^0) assert(sort degrees cohomology(3,T) == sort degrees (ring T)^0) /// -- Test 13 -- Checking weilToCartier TEST /// T = weilToCartier({1,4,3,2},projectiveSpaceFan 3,"Type" => "Kaneyama") assert(T#"baseChangeTable" === hashTable {(0,1) => map(QQ^1,QQ^1,1),(0,2) => map(QQ^1,QQ^1,1),(0,3) => map(QQ^1,QQ^1,1),(1,2) => map(QQ^1,QQ^1,1),(1,3) => map(QQ^1,QQ^1,1),(2,3) => map(QQ^1,QQ^1,1)}) assert(T#"degreeTable" === hashTable {(matrix {{1,0,-1},{0,1,-1},{0,0,-1}}, map(ZZ^3,0,0)) => matrix{{-2},{-3},{6}},(matrix {{0,-1,0},{1,-1,0},{0,-1,1}}, map(ZZ^3,0,0)) => matrix{{8},{-3},{-4}},(matrix {{1,-1,0},{0,-1,0},{0,-1,1}}, map(ZZ^3,0,0)) => matrix{{-2},{7},{-4}}, (map(ZZ^3,ZZ^3,1), map(ZZ^3,0,0)) => matrix{{-2},{-3},{-4}}}) assert(rank T == 1) assert(T#"dimension of the variety" == 3) T = weilToCartier({1,4,3,2},projectiveSpaceFan 3) assert(T#"ring" === QQ) assert(T#"filtrationMatricesTable" === hashTable {matrix{{-1},{-1},{-1}} => matrix{{-1}},matrix{{0},{0},{1}} => matrix{{-4}},matrix{{0},{1},{0}} => matrix{{-3}}, matrix{{1},{0},{0}} => matrix{{-2}}}) assert(T#"baseTable" === hashTable {matrix{{-1},{-1},{-1}} => matrix{{1_QQ}},matrix{{0},{0},{1}} => matrix{{1_QQ}},matrix{{0},{1},{0}} => matrix{{1_QQ}}, matrix{{1},{0},{0}} => matrix{{1_QQ}}}) assert(rank T == 1) assert(T#"dimension of the variety" == 3) /// -- Test 14 -- Checking directSum for Kaneyama TEST /// T1 = tangentBundle(projectiveSpaceFan 3,"Type" => "Kaneyama") T2 = weilToCartier({1,7,5,3},projectiveSpaceFan 3,"Type" => "Kaneyama") T = T1 ++ T2 assert(T#"baseChangeTable" === hashTable {(0,1) => matrix{{1_QQ,-1,0,0},{0,-1,0,0},{0,-1,1,0},{0,0,0,1}}, (0,2) => matrix{{-1_QQ,0,0,0},{-1,1,0,0},{-1,0,1,0},{0,0,0,1}}, (1,2) => matrix{{-1_QQ,1,0,0},{-1,0,0,0},{-1,0,1,0},{0,0,0,1}}, (0,3) => matrix{{1_QQ,0,-1,0},{0,0,-1,0},{0,1,-1,0},{0,0,0,1}}, (1,3) => matrix{{1_QQ,0,-1,0},{0,1,-1,0},{0,0,-1,0},{0,0,0,1}}, (2,3) => matrix{{0_QQ,0,-1,0},{1,0,-1,0},{0,1,-1,0},{0,0,0,1}}}) assert(T#"degreeTable" === hashTable {(matrix {{1,0,-1},{0,1,-1},{0,0,-1}}, map(ZZ^3,0,0)) => matrix{{0,-1,0,-3},{0,0,-1,-5},{1,1,1,9}},(matrix {{0,-1,0},{1,-1,0},{0,-1,1}}, map(ZZ^3,0,0)) => matrix{{1,1,1,13},{0,-1,0,-5},{0,0,-1,-7}},(matrix {{1,-1,0},{0,-1,0},{0,-1,1}}, map(ZZ^3,0,0)) => matrix{{0,-1,0,-3},{1,1,1,11},{0,0,-1,-7}}, (map(ZZ^3,ZZ^3,1),map(ZZ^3,0,0)) => matrix{{-1,0,0,-3},{0,-1,0,-5},{0,0,-1,-7}}}) assert(rank T == 4) assert(T#"dimension of the variety" == 3) assert(T == directSum {T1,T2}) T1 = cotangentBundle(hirzebruchFan 3,"Type" => "Kaneyama") T2 = tangentBundle(hirzebruchFan 3,"Type" => "Kaneyama") T = T1 ++ T2 assert(T#"baseChangeTable" === hashTable {(0,1) => matrix{{1_QQ,0,0,0},{0,-1,0,0},{0,0,1,0},{0,0,0,-1}}, (0,2) => matrix{{-1_QQ,3,0,0},{0,1,0,0},{0,0,-1,0},{0,0,3,1}}, (1,3) => matrix{{-1_QQ,-3,0,0},{0,1,0,0},{0,0,-1,0},{0,0,-3,1}}, (2,3) => matrix{{1_QQ,0,0,0},{0,-1,0,0},{0,0,1,0},{0,0,0,-1}}}) assert(T#"degreeTable" === hashTable {(matrix {{1,0},{0,-1}}, map(ZZ^2,0,0)) => matrix{{1,0,-1,0},{0,-1,0,1}}, (matrix {{0,-1},{1,3}}, map(ZZ^2,0,0)) => matrix{{-1,3,1,-3},{0,1,0,-1}}, (matrix {{1,0},{0,1}}, map(ZZ^2,0,0)) => matrix{{1,0,-1,0},{0,1,0,-1}}, (matrix {{0,-1},{-1,3}}, map(ZZ^2,0,0)) => matrix {{-1,-3,1,3},{0,-1,0,1}}}) assert(rank T == 4) assert(T#"dimension of the variety" == 2) /// --Test 15 -- Checking directSum for Klyachko TEST /// T1 = tangentBundle projectiveSpaceFan 3 T2 = weilToCartier({1,7,5,3},projectiveSpaceFan 3) T = T1 ++ T2 assert(T#"ring" === QQ) assert(T#"filtrationMatricesTable" === hashTable {matrix{{-1},{-1},{-1}} => matrix{{-1,0,0,-1}},matrix{{0},{0},{1}} => matrix{{-1,0,0,-7}},matrix{{0},{1},{0}} => matrix{{-1,0,0,-5}}, matrix{{1},{0},{0}} => matrix{{-1,0,0,-3}}}) assert(T#"baseTable" === hashTable {matrix{{-1},{-1},{-1}} => matrix{{-1_QQ,0,0,0},{-1,1,0,0},{-1,0,1,0},{0,0,0,1}},matrix{{0},{0},{1}} => matrix{{0_QQ,1,0,0},{0,0,1,0},{1,0,0,0},{0,0,0,1}},matrix{{0},{1},{0}} => matrix{{0_QQ,1,0,0},{1,0,0,0},{0,0,1,0},{0,0,0,1}}, matrix{{1},{0},{0}} => matrix{{1_QQ,0,0,0},{0,1,0,0},{0,0,1,0},{0,0,0,1}}}) assert(rank T == 4) assert(T#"dimension of the variety" == 3) assert(T == directSum {T1,T2}) T1 = cotangentBundle hirzebruchFan 3 T2 = tangentBundle hirzebruchFan 3 T = T1 ++ T2 assert(T#"ring" === QQ) assert(T#"filtrationMatricesTable" === hashTable {matrix{{-1},{3}} => matrix{{1,0,-1,0}},matrix{{0},{-1}} => matrix{{1,0,-1,0}},matrix{{0},{1}} => matrix{{1,0,-1,0}}, matrix{{1},{0}} => matrix{{1,0,-1,0}}}) assert(T#"baseTable" === hashTable {matrix{{-1},{3}} => matrix{{0,3,0,0},{1/3,1,0,0},{0,0,-1,1/3},{0,0,3,0}},matrix{{0},{-1}} => matrix{{0_QQ,1,0,0},{-1,0,0,0},{0,0,0,1},{0,0,-1,0}},matrix{{0},{1}} => matrix{{0,1_QQ,0,0},{1,0,0,0},{0,0,0,1},{0,0,1,0}}, matrix{{1},{0}} => map(QQ^4,QQ^4,1)}) assert(rank T == 4) assert(T#"dimension of the variety" == 2) /// -- Test 16 -- Checking dual for Kaneyama TEST /// T = dual weilToCartier({1,4,3,2},projectiveSpaceFan 3,"Type" => "Kaneyama") assert(T#"baseChangeTable" === hashTable{(0,1) => matrix{{1_QQ}},(0,2) => matrix{{1_QQ}}, (0,3) => matrix{{1_QQ}}, (1,2) => matrix{{1_QQ}},(1,3) => matrix{{1_QQ}},(2,3) => matrix{{1_QQ}}}) assert(T#"degreeTable" === hashTable{(matrix {{1,0,-1},{0,1,-1},{0,0,-1}}, map(ZZ^3,0,0)) => matrix{{2},{3},{-6}},(matrix {{0,-1,0},{1,-1,0},{0,-1,1}}, map(ZZ^3,0,0)) => matrix{{-8},{3},{4}},(matrix {{1,-1,0},{0,-1,0},{0,-1,1}}, map(ZZ^3,0,0)) => matrix{{2},{-7},{4}}, (map(ZZ^3,ZZ^3,1), map(ZZ^3,0,0)) => matrix{{2},{3},{4}}}) assert(rank T == 1) assert(T#"dimension of the variety" == 3) T1 = tangentBundle(projectiveSpaceFan 3,"Type" => "Kaneyama") T = dual(T1 ++ T) assert(T#"baseChangeTable" === hashTable{(0,2) => matrix{{-1_QQ,-1,-1,0},{0,1,0,0},{0,0,1,0},{0,0,0,1}},(0,1) => matrix{{1_QQ,0,0,0},{-1,-1,-1,0},{0,0,1,0},{0,0,0,1}}, (0,3) => matrix{{1_QQ,0,0,0},{-1,-1,-1,0},{0,1,0,0},{0,0,0,1}}, (1,2) => matrix{{0_QQ,1,0,0},{-1,-1,-1,0},{0,0,1,0},{0,0,0,1}},(1,3) => matrix{{1_QQ,0,0,0},{0,1,0,0},{-1,-1,-1,0},{0,0,0,1}},(2,3) => matrix{{-1_QQ,-1,-1,0},{1,0,0,0},{0,1,0,0},{0,0,0,1}}}) assert(T#"degreeTable" === hashTable{(matrix {{1,0,-1},{0,1,-1},{0,0,-1}}, map(ZZ^3,0,0)) => matrix{{0,1,0,-2},{0,0,1,-3},{-1,-1,-1,6}},(matrix {{0,-1,0},{1,-1,0},{0,-1,1}}, map(ZZ^3,0,0)) => matrix{{-1,-1,-1,8},{0,1,0,-3},{0,0,1,-4}},(matrix {{1,-1,0},{0,-1,0},{0,-1,1}}, map(ZZ^3,0,0)) => matrix{{0,1,0,-2},{-1,-1,-1,7},{0,0,1,-4}}, (map(ZZ^3,ZZ^3,1), map(ZZ^3,0,0)) => matrix{{1,0,0,-2},{0,1,0,-3},{0,0,1,-4}}}) assert(rank T == 4) assert(T#"dimension of the variety" == 3) /// -- Test 17 -- Checking dual for Klyachko TEST /// T = dual weilToCartier({1,4,3,2},projectiveSpaceFan 3) assert(T#"ring" === QQ) assert(T#"filtrationMatricesTable" === hashTable {matrix{{-1},{-1},{-1}} => matrix{{1}},matrix{{0},{0},{1}} => matrix{{4}},matrix{{0},{1},{0}} => matrix{{3}}, matrix{{1},{0},{0}} => matrix{{2}}}) assert(T#"baseTable" === hashTable {matrix{{-1},{-1},{-1}} => matrix{{1_QQ}},matrix{{0},{0},{1}} => matrix{{1_QQ}},matrix{{0},{1},{0}} => matrix{{1_QQ}}, matrix{{1},{0},{0}} => matrix{{1_QQ}}}) assert(rank T == 1) assert(T#"dimension of the variety" == 3) T1 = tangentBundle projectiveSpaceFan 3 T = dual(T1 ++ T) assert(T#"ring" === QQ) assert(T#"filtrationMatricesTable" === hashTable {matrix{{-1},{-1},{-1}} => matrix{{1,0,0,-1}},matrix{{0},{0},{1}} => matrix{{1,0,0,-4}},matrix{{0},{1},{0}} => matrix{{1,0,0,-3}}, matrix{{1},{0},{0}} => matrix{{1,0,0,-2}}}) assert(T#"baseTable" === hashTable {matrix{{-1},{-1},{-1}} => matrix{{-1_QQ,-1,-1,0},{0,1,0,0},{0,0,1,0},{0,0,0,1}},matrix{{0},{0},{1}} => matrix{{0_QQ,1,0,0},{0,0,1,0},{1,0,0,0},{0,0,0,1}},matrix{{0},{1},{0}} => matrix{{0_QQ,1,0,0},{1,0,0,0},{0,0,1,0},{0,0,0,1}}, matrix{{1},{0},{0}} => matrix{{1_QQ,0,0,0},{0,1,0,0},{0,0,1,0},{0,0,0,1}}}) assert(rank T == 4) assert(T#"dimension of the variety" == 3) /// -- Test 18 -- Checking tensor for Kaneyama TEST /// T1 = tangentBundle(pp1ProductFan 2,"Type" => "Kaneyama") T2 = cotangentBundle(pp1ProductFan 2,"Type" => "Kaneyama") T = T1 ** T2 assert(T#"baseChangeTable" === hashTable{(0,2) => matrix{{1_QQ,0,0,0},{0,-1,0,0},{0,0,-1,0},{0,0,0,1}},(0,1) => matrix{{1_QQ,0,0,0},{0,-1,0,0},{0,0,-1,0},{0,0,0,1}}, (1,3) => matrix{{1_QQ,0,0,0},{0,-1,0,0},{0,0,-1,0},{0,0,0,1}}, (2,3) => matrix{{1_QQ,0,0,0},{0,-1,0,0},{0,0,-1,0},{0,0,0,1}}}) assert(T#"degreeTable" === hashTable{(matrix {{-1,0},{0,1}}, map(ZZ^2,0,0)) => matrix{{0,-1,1,0},{0,-1,1,0}},(matrix {{-1,0},{0,-1}}, map(ZZ^2,0,0)) => matrix{{0,-1,1,0},{0,1,-1,0}},(matrix {{1,0},{0,-1}}, map(ZZ^2,0,0)) => matrix{{0,1,-1,0},{0,1,-1,0}}, (map(ZZ^2,ZZ^2,1), map(ZZ^2,0,0)) => matrix{{0,1,-1,0},{0,-1,1,0}}}) assert(rank T == 4) assert(T#"dimension of the variety" == 2) T1 = tangentBundle(hirzebruchFan 2,"Type" => "Kaneyama") T2 = weilToCartier({5,1,7,3},hirzebruchFan 2,"Type" => "Kaneyama") T2 = T2 ++ T2 T = T1 ** T2 assert(T#"baseChangeTable" === hashTable{(0,1) => matrix{{1_QQ,0,0,0},{0,-1,0,0},{0,0,1,0},{0,0,0,-1}},(0,2) => matrix{{-1_QQ,0,0,0},{2,1,0,0},{0,0,-1,0},{0,0,2,1}}, (1,3) => matrix{{-1_QQ,0,0,0},{-2,1,0,0},{0,0,-1,0},{0,0,-2,1}}, (2,3) => matrix{{1_QQ,0,0,0},{0,-1,0,0},{0,0,1,0},{0,0,0,-1}}}) assert(T#"degreeTable" === hashTable{(matrix {{1,0},{0,1}}, map(ZZ^2,0,0)) => matrix{{-4,-3,-4,-3},{-1,-2,-1,-2}},(matrix {{1,0},{0,-1}}, map(ZZ^2,0,0)) => matrix{{-4,-3,-4,-3},{5,6,5,6}},(matrix {{0,-1},{-1,2}}, map(ZZ^2,0,0)) => matrix{{18,19,18,19},{5,6,5,6}},(matrix {{0,-1},{1,2}}, map(ZZ^2,0,0)) => matrix{{6,3,6,3},{-1,-2,-1,-2}}}) assert(rank T == 4) assert(T#"dimension of the variety" == 2) /// -- Test 19 -- Checking tensor for Klyachko TEST /// T1 = tangentBundle pp1ProductFan 2 T2 = cotangentBundle pp1ProductFan 2 T = T1 ** T2 assert(T#"ring" === QQ) assert(T#"filtrationMatricesTable" === hashTable {matrix{{-1},{0}} => matrix{{0,-1,1,0}},matrix{{0},{-1}} => matrix{{0,-1,1,0}},matrix{{0},{1}} => matrix{{0,-1,1,0}}, matrix{{1},{0}} => matrix{{0,-1,1,0}}}) assert(T#"baseTable" === hashTable {matrix{{-1},{0}} => matrix{{1_QQ,0,0,0},{0,-1,0,0},{0,0,-1,0},{0,0,0,1}},matrix {{0},{-1}} => matrix{{0_QQ,0,0,1},{0,0,-1,0},{0,-1,0,0},{1,0,0,0}},matrix {{0},{1}} => matrix{{0_QQ,0,0,1},{0,0,1,0},{0,1,0,0},{1,0,0,0}},matrix{{1},{0}} => matrix{{1_QQ,0,0,0},{0,1,0,0},{0,0,1,0},{0,0,0,1}}}) assert(rank T == 4) assert(T#"dimension of the variety" == 2) T1 = tangentBundle hirzebruchFan 2 T2 = weilToCartier({5,1,7,3},hirzebruchFan 2) T2 = T2 ++ T2 T = T1 ** T2 assert(T#"ring" === QQ) assert(T#"filtrationMatricesTable" === hashTable {matrix{{-1},{2}} => matrix{{-8,-8,-7,-7}},matrix{{0},{-1}} => matrix{{-6,-6,-5,-5}},matrix{{0},{1}} => matrix{{-2,-2,-1,-1}}, matrix{{1},{0}} => matrix{{-4,-4,-3,-3}}}) assert(T#"baseTable" === hashTable {matrix{{-1},{2}} => matrix{{-1,0,1/2,0},{0,-1,0,1/2},{2,0,0,0},{0,2,0,0}},matrix {{0},{-1}} => matrix{{0_QQ,0,1,0},{0,0,0,1},{-1,0,0,0},{0,-1,0,0}},matrix {{0},{1}} => matrix{{0_QQ,0,1,0},{0,0,0,1},{1,0,0,0},{0,1,0,0}},matrix{{1},{0}} => matrix{{1_QQ,0,0,0},{0,1,0,0},{0,0,1,0},{0,0,0,1}}}) assert(rank T == 4) assert(T#"dimension of the variety" == 2) /// -- Test 20 -- Checking symmetricPower for Kaneyama TEST /// T = tangentBundle(projectiveSpaceFan 3,"Type" => "Kaneyama") T = symmetricPower(2,T) assert(T#"baseChangeTable" === hashTable{(0,1) => matrix{{1_QQ,-1,0,1,0,0},{0,-1,0,2,0,0},{0,-1,1,2,-1,0},{0,0,0,1,0,0},{0,0,0,2,-1,0},{0,0,0,1,-1,1}},(0,2) => matrix{{1_QQ,0,0,0,0,0},{2,-1,0,0,0,0},{2,0,-1,0,0,0},{1,-1,0,1,0,0},{2,-1,-1,0,1,0},{1,0,-1,0,0,1}}, (0,3) => matrix{{1_QQ,0,-1,0,0,1},{0,0,-1,0,0,2},{0,1,-1,0,-1,2},{0,0,0,0,0,1},{0,0,0,0,-1,2},{0,0,0,1,-1,1}}, (1,2) => matrix{{1_QQ,-1,0,1,0,0},{2,-1,0,0,0,0},{2,-1,-1,0,1,0},{1,0,0,0,0,0},{2,0,-1,0,0,0},{1,0,-1,0,0,1}}, (1,3) => matrix{{1_QQ,0,-1,0,0,1},{0,1,-1,0,-1,2},{0,0,-1,0,0,2},{0,0,0,1,-1,1},{0,0,0,0,-1,2},{0,0,0,0,0,1}},(2,3) => matrix{{0_QQ,0,0,0,0,1},{0,0,-1,0,0,2},{0,0,0,0,-1,2},{1,0,-1,0,0,1},{0,1,-1,0,-1,2},{0,0,0,1,-1,1}}}) assert(T#"degreeTable" === hashTable{(matrix {{1,-1,0},{0,-1,0},{0,-1,1}}, map(ZZ^3,0,0)) => matrix{{0,-1,0,-2,-1,0},{2,2,2,2,2,2},{0,0,-1,0,-1,-2}},(matrix {{1,0,0},{0,1,0},{0,0,1}}, map(ZZ^3,0,0)) => matrix{{-2,-1,-1,0,0,0},{0,-1,0,-2,-1,0},{0,0,-1,0,-1,-2}},(matrix {{1,0,-1},{0,1,-1},{0,0,-1}}, map(ZZ^3,0,0)) => matrix{{0,-1,0,-2,-1,0},{0,0,-1,0,-1,-2},{2,2,2,2,2,2}},(matrix {{0,-1,0},{1,-1,0},{0,-1,1}}, map(ZZ^3,0,0)) => matrix{{2,2,2,2,2,2},{0,-1,0,-2,-1,0},{0,0,-1,0,-1,-2}}}) assert(rank T == 6) assert(T#"dimension of the variety" == 3) /// -- Test 21 -- Checking symmetricPower for Klyachko TEST /// T = tangentBundle projectiveSpaceFan 3 T = symmetricPower(2,T) assert(T#"ring" === QQ) assert(T#"filtrationMatricesTable" === hashTable {matrix{{0},{0},{1}} => matrix{{-2,-1,-1,0,0,0}}, matrix{{-1},{-1},{-1}} => matrix{{-2,-1,-1,0,0,0}}, matrix{{1},{0},{0}} => matrix{{-2,-1,-1,0,0,0}}, matrix{{0},{1},{0}} => matrix{{-2,-1,-1,0,0,0}}}) assert(T#"baseTable" === hashTable {matrix{{0},{0},{1}} => matrix{{0_QQ,0,0,1,0,0},{0,0,0,0,1,0},{0,1,0,0,0,0},{0,0,0,0,0,1},{0,0,1,0,0,0},{1,0,0,0,0,0}}, matrix{{-1},{-1},{-1}} => matrix{{1_QQ,0,0,0,0,0},{2,-1,0,0,0,0},{2,0,-1,0,0,0},{1,-1,0,1,0,0},{2,-1,-1,0,1,0},{1,0,-1,0,0,1}}, matrix{{1},{0},{0}} => matrix{{1_QQ,0,0,0,0,0},{0,1,0,0,0,0},{0,0,1,0,0,0},{0,0,0,1,0,0},{0,0,0,0,1,0},{0,0,0,0,0,1}}, matrix{{0},{1},{0}} => matrix{{0_QQ,0,0,1,0,0},{0,1,0,0,0,0},{0,0,0,0,1,0},{1,0,0,0,0,0},{0,0,1,0,0,0},{0,0,0,0,0,1}}}) assert(rank T == 6) assert(T#"dimension of the variety" == 3) /// -- Test 22 -- Checking exteriorPower for Kaneyama TEST /// T = cotangentBundle(hirzebruch 3,"Type" => "Kaneyama") T = exteriorPower(2,T) assert(T#"baseChangeTable" === hashTable{(0,1) => matrix{{-1_QQ}}, (0,2) => matrix{{-1_QQ}}, (1,3) => matrix{{-1_QQ}}, (2,3) => matrix{{-1_QQ}}}) assert(T#"degreeTable" === hashTable{(matrix {{1,0},{0,1}}, map(ZZ^2,0,0)) => matrix{{1},{1}},(matrix {{1,0},{0,-1}}, map(ZZ^2,0,0)) => matrix{{1},{-1}},(matrix {{0,-1},{1,3}}, map(ZZ^2,0,0)) => matrix {{2},{1}},(matrix {{0,-1},{-1,3}}, map(ZZ^2,0,0)) => matrix {{-4},{-1}}}) assert(rank T == 1) assert(T#"dimension of the variety" == 2) T = tangentBundle(projectiveSpaceFan 3,"Type" => "Kaneyama") T = exteriorPower(2,T) assert(T#"baseChangeTable" === hashTable{(0,1) => matrix{{-1_QQ,0,0},{-1,1,-1},{0,0,-1}}, (0,2) => matrix{{-1_QQ,0,0},{0,-1,0},{1,-1,1}}, (0,3) => matrix{{0_QQ,-1,0},{1,-1,1},{0,0,1}}, (1,2) => matrix{{1_QQ,0,0},{1,-1,1},{0,-1,0}}, (1,3) => matrix{{1_QQ,-1,1},{0,-1,0},{0,0,-1}}, (2,3) => matrix{{0_QQ,1,0},{0,0,1},{1,-1,1}}}) assert(T#"degreeTable" === hashTable{(matrix {{1,-1,0},{0,-1,0},{0,-1,1}}, map(ZZ^3,0,0)) => matrix{{-1,0,-1},{2,2,2},{0,-1,-1}},(matrix {{1,0,0},{0,1,0},{0,0,1}}, map(ZZ^3,0,0)) => matrix{{-1,-1,0},{-1,0,-1},{0,-1,-1}},(matrix {{1,0,-1},{0,1,-1},{0,0,-1}}, map(ZZ^3,0,0)) => matrix{{-1,0,-1},{0,-1,-1},{2,2,2}},(matrix {{0,-1,0},{1,-1,0},{0,-1,1}}, map(ZZ^3,0,0)) => matrix{{2,2,2},{-1,0,-1},{0,-1,-1}}}) assert(rank T == 3) assert(T#"dimension of the variety" == 3) /// -- Test 23 -- Checking exteriorPower for Klyachko TEST /// T = cotangentBundle hirzebruch 3 T = exteriorPower(2,T) assert(T#"ring" === QQ) assert(T#"filtrationMatricesTable" === hashTable {matrix{{-1},{3}} => matrix{{1}}, matrix{{0},{1}} => matrix{{1}}, matrix{{0},{-1}} => matrix{{1}}, matrix{{1},{0}} => matrix{{1}}}) assert(T#"baseTable" === hashTable {matrix{{-1},{3}} => matrix{{-1_QQ}}, matrix{{0},{1}} => matrix{{-1_QQ}}, matrix{{0},{-1}} => matrix{{1_QQ}}, matrix{{1},{0}} => matrix{{1_QQ}}}) assert(rank T == 1) assert(T#"dimension of the variety" == 2) T = tangentBundle projectiveSpaceFan 3 T = exteriorPower(2,T) assert(T#"ring" === QQ) assert(T#"filtrationMatricesTable" === hashTable {matrix{{0},{0},{1}} => matrix{{-1,-1,0}}, matrix{{-1},{-1},{-1}} => matrix{{-1,-1,0}}, matrix{{1},{0},{0}} => matrix{{-1,-1,0}}, matrix{{0},{1},{0}} => matrix{{-1,-1,0}}}) assert(T#"baseTable" === hashTable {matrix{{0},{0},{1}} => matrix{{0_QQ,0,1},{-1,0,0},{0,-1,0}}, matrix{{-1},{-1},{-1}} => matrix{{-1_QQ,0,0},{0,-1,0},{1,-1,1}}, matrix{{1},{0},{0}} => matrix{{1_QQ,0,0},{0,1,0},{0,0,1}}, matrix{{0},{1},{0}} => matrix{{-1_QQ,0,0},{0,0,1},{0,1,0}}}) assert(rank T == 3) assert(T#"dimension of the variety" == 3) /// -- Test 24 -- Checking eulerChi TEST /// T = tangentBundle hirzebruchFan 3 u = matrix {{0},{0}} assert(eulerChi(u,T) == 2) assert(eulerChi T == 6) T = cotangentBundle projectiveSpaceFan 4 assert(eulerChi T == -1) T = tangentBundle(hirzebruchFan 3,"Type" => "Kaneyama") u = matrix {{0},{0}} assert(eulerChi(u,T) == 2) assert(eulerChi T == 6) /// -- Test 25 -- Checking coker TEST /// T = tangentBundle hirzebruchFan 2 T = T ** T M = matrix {{1,0},{0,1},{1,0},{0,1/1}} T1 = coker(T,M) assert(T1#"ring" === QQ) assert(T1#"filtrationMatricesTable" === hashTable {matrix{{-1},{2}} => matrix{{-2,-1}}, matrix{{0},{-1}} => matrix{{-2,-1}}, matrix{{0},{1}} => matrix{{-2,-1}}, matrix{{1},{0}} => matrix{{-2,-1}}}) assert(T1#"baseTable" === new HashTable from {map(ZZ^2,ZZ^1,{{0}, {-1}}) => map(QQ^2,QQ^2,{{0, 1}, {1, 0}}), map(ZZ^2,ZZ^1,{{1}, {0}}) => map(QQ^2,QQ^2,{{1, 0}, {0, 1}}), map(ZZ^2,ZZ^1,{{-1}, {2}}) => map(QQ^2,QQ^2,{{-1/2, 1/2}, {1, 0}}), map(ZZ^2,ZZ^1,{{0}, {1}}) => map(QQ^2,QQ^2,{{0, 1}, {1, 0}})}) assert(rank T1 == 2) assert(T1#"dimension of the variety" == 2) /// -- Test 26 -- Checking image TEST /// T = tangentBundle hirzebruchFan 2 T = T ** T M = matrix {{1,-1,1,-1},{0,-1,0,1/1}} T1 = image(T,M) assert(T1#"ring" === QQ) assert(T1#"filtrationMatricesTable" === hashTable {matrix{{-1},{2}} => matrix{{-2,-1}}, matrix{{0},{-1}} => matrix{{-2,-1}}, matrix{{0},{1}} => matrix{{-2,-1}}, matrix{{1},{0}} => matrix{{-2,-1}}}) assert(T1#"baseTable" === new HashTable from {map(ZZ^2,ZZ^1,{{0}, {-1}}) => map(QQ^2,QQ^2,{{-1, 1}, {1, 0}}), map(ZZ^2,ZZ^1,{{1}, {0}}) => map(QQ^2,QQ^2,{{1, 0}, {0, 1}}), map(ZZ^2,ZZ^1,{{-1}, {2}}) => map(QQ^2,QQ^2,{{-1/2, 1/2}, {1, 0}}), map(ZZ^2,ZZ^1,{{0}, {1}}) => map(QQ^2,QQ^2,{{-1, 1}, {1, 0}})}) assert(rank T1 == 2) assert(T1#"dimension of the variety" == 2) /// -- Test 27 -- Checking ker TEST /// T = tangentBundle hirzebruchFan 2 T = T ** T M = matrix {{1,0,1,0},{0,1,0,1/1}} T1 = ker(T,M) assert(T1#"ring" === QQ) assert(T1#"filtrationMatricesTable" === hashTable {matrix{{-1},{2}} => matrix{{-1,0}}, matrix{{0},{-1}} => matrix{{-1,0}}, matrix{{0},{1}} => matrix{{-1,0}}, matrix{{1},{0}} => matrix{{-1,0}}}) assert(T1#"baseTable" === new HashTable from {map(ZZ^2,ZZ^1,{{0}, {-1}}) => map(QQ^2,QQ^2,{{0, 1}, {1, 0}}), map(ZZ^2,ZZ^1,{{1}, {0}}) => map(QQ^2,QQ^2,{{1, 0}, {0, 1}}), map(ZZ^2,ZZ^1,{{-1}, {2}}) => map(QQ^2,QQ^2,{{-1/2, 1/2}, {1, 0}}), map(ZZ^2,ZZ^1,{{0}, {1}}) => map(QQ^2,QQ^2,{{0, 1}, {1, 0}})}) assert(rank T1 == 2) assert(T1#"dimension of the variety" == 2) /// -- Test 28 -- Checking twist TEST /// T = tangentBundle projectiveSpaceFan 3 L = {1,-4,3,-2} T = twist(T,L) assert(T#"ring" === QQ) assert(T#"baseTable" === hashTable {matrix{{0},{0},{1}} => matrix{{0_QQ,1,0},{0,0,1},{1,0,0}}, matrix{{-1},{-1},{-1}} => matrix{{-1_QQ,0,0},{-1,1,0},{-1,0,1}}, matrix{{1},{0},{0}} => matrix{{1_QQ,0,0},{0,1,0},{0,0,1}},matrix{{0},{1},{0}} => matrix{{0_QQ,1,0},{1,0,0},{0,0,1}}}) assert(T#"filtrationMatricesTable" === hashTable {matrix{{0},{0},{1}} => matrix{{3,4,4}}, matrix{{-1},{-1},{-1}} => matrix{{-2,-1,-1}}, matrix{{1},{0},{0}} => matrix{{1, 2, 2}}, matrix{{0},{1},{0}} => matrix{{-4,-3,-3}}}) assert(rank T == 3) assert(T#"dimension of the variety" == 3) /// -- Test 29 -- Checking isGeneral TEST /// T = tangentBundle pp1ProductFan 3 assert isGeneral T L1 = {matrix {{1,0},{0,1}},matrix{{1,1},{0,1}},matrix{{-1,0},{0,1}},matrix{{-1,1},{0,-1}}} L2 = {matrix {{-1,0}},matrix{{-1,0}},matrix{{-1,0}},matrix{{1,1}}} T = toricVectorBundle(2,hirzebruchFan 3,L1,L2) assert not isGeneral T /// -- Test 30 -- Checking cartierIndex TEST /// C=posHull matrix {{1,2},{2,1}} C1=posHull matrix {{1,-1},{2,-1}} C2=posHull matrix {{2,-1},{1,-1}} F=fan{C,C1,C2} assert(cartierIndex({1,1,1},F) == 3) assert(cartierIndex({3,3,3},F) == 1) /// end --------------------------------------- -- END OF FILE --------------------------------------- uninstallPackage "ToricVectorBundles" installPackage "ToricVectorBundles" check "ToricVectorBundles" restart loadPackage "ToricVectorBundles"; P1 = convexHull matrix {{1,2,3,3,2,1,0,0},{0,0,1,2,3,3,2,1}}; F1 = normalFan P1; T1 = tangentBundle F1 HH^1(T1) HH^2(T1) P2 = convexHull matrix { {1,0,0,-1,0,-1,0,1}, {0,1,0,-1,0,0,-1,1}, {0,0,1,0,-1,0,0,0}}; F2 = faceFan P2; T2 = tangentBundle F2 HH^1(T2) Omega = cotangentBundle F2 Omega == dual T2 Endo = T2 ** Omega HH^1(Endo) K = weilToCartier({-1,-1,-1,-1,-1,-1,-1,-1},F2) areIsomorphic(K,exteriorPower(3,Omega)) restart
Simpan