
SIGMA 14 (2018), 109, 48 pages arXiv:1801.06013
https://doi.org/10.3842/SIGMA.2018.109
Contribution to the Special Issue on Orthogonal Polynomials, Special Functions and Applications (OPSFA14)
Inverse of Infinite Hankel Moment Matrices
Christian Berg ^{a} and Ryszard Szwarc ^{b}
^{a)} Department of Mathematical Sciences, University of Copenhagen, Universitetsparken 5, DK2100 Copenhagen, Denmark
^{b)} Institute of Mathematics, University of Wroclaw, pl. Grunwaldzki 2/4, 50384 Wrocław, Poland
Received January 19, 2018, in final form October 02, 2018; Published online October 06, 2018
Abstract
Let $(s_n)_{n\ge 0}$ denote an indeterminate Hamburger moment sequence and let $\mathcal H=\{s_{m+n}\}$ be the corresponding positive definite Hankel matrix. We consider the question if there exists an infinite symmetric matrix $\mathcal A=\{a_{j,k}\}$, which is an inverse of $\mathcal H$ in the sense that the matrix product $\mathcal A\mathcal H$ is defined by absolutely convergent series and $\mathcal A\mathcal H$ equals the identity matrix $\mathcal I$, a property called (aci). A candidate for $\mathcal A$ is the coefficient matrix of the reproducing kernel of the moment problem, considered as an entire function of two complex variables. We say that the moment problem has property (aci), if (aci) holds for this matrix $\mathcal A$. We show that this is true for many classical indeterminate moment problems but not for the symmetrized version of a cubic birthanddeath process studied by Valent and coauthors. We consider mainly symmetric indeterminate moment problems and give a number of sufficient conditions for (aci) to hold in terms of the recurrence coefficients for the orthonormal polynomials. A sufficient condition is a rapid increase of the recurrence coefficients in the sense that the quotient between consecutive terms is uniformly bounded by a constant strictly smaller than one. We also give a simple example, where (aci) holds, but an inverse matrix of $\mathcal H$ is highly nonunique.
Key words:
indeterminate moment problems; Jacobi matrices; Hankel matrices; orthogonal polynomials.
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