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%% This document created by Scientific Word (R) Version 2.0 %% Starting shell: article \documentstyle[12pt]{amsart} %%%%%%%%%%%%%%%%%%%%%%%%%%%% \newcommand{\FRAME}[8]{} \begin{document} \author{Emmanuel KENGNE\thanks{% University of Dschang. Faculty of Science. Dept. of Mathematics \& Computer Science\protect\\ P.O. Box 67 Dschang, CAMEROON\protect\\ E-Mail: ekengne6@yahoo.fr\protect\\ Tel. +237 451074}} \title{Envelope Modulational Instability in the Nonlinear Dissipative Transmission Line} \date{July, 2001} \maketitle \begin{abstract} Biinductance LC circuit is considered and envelope modulation is reduced to the Complex Nonlinear Schr\"odinger (CNLS) equation. The Benjamin-Feir (or, as it is sometimes called, the modulational) instability for the CNLS equation is investigated to lead the Lange and Newell's criterion.\\ \\ $% {\bf KEYWORDS:}$ Nonlinear Dissipative Transmission Line; Complex Nonlinear Schr\"odinger Equation; Envelope Modulational Instability. \end{abstract} \section{Introduction} Our work deals with the derivation of a nonlinear wave equation for electromagnetic wave propagation on a nonlinear dissipative biinductance transmission line$^{1-4)}$ shown in Fig. 1. \[ \FRAME{itbpxFX}{401.0625pt}{140.3125pt}{0pt}{}{}{Figure }{\special{language "Scientific Word";type "GRAPHIC";maintain-aspect-ratio TRUE;display "USEDEF";valid_file "T";width 401.0625pt;height 140.3125pt;depth 0pt;cropleft "0";croptop "1";cropright "1";cropbottom "0";tempfilename 'C:/SW20/DOCCS/GGBG6VO5.wmf';tempfile-properties "XP";}} \] \\ In this transmission line, $C(V)\approx C_1-C_NV,$ where $C_N$ is a nonlinear capacitor such as a ''VARICAP'' or a reverse-biased $p-n$ junction diode, the capacitance of which depends on the voltage applied across it. One can write the set of partial differential equations for the currents and voltages as \begin{eqnarray} L_2I_{2n,t}+R_2I_{2n} &=&V_{2n-1}-V_{2n} \\ L_1I_{2n+1,t}+R_1I_{2n+1} &=&V_{2n}-V_{2n+1} \end{eqnarray} \begin{eqnarray} Q_{2n,t} &=&I_{2n}-I_{2n+1}-GV_{2n} \\ Q_{2n+1,t} &=&I_{2n+1}-I_{2n+2}-GV_{2n+1}, \end{eqnarray} where $I_{2n}$ is the current through the inductance $L_2$ and the resistance $R_2,$ $Q_{2n}$ being the charge density stored in the $2n$ $th$ capacitor, $V_{2n}$ is the $ac$ voltage across it, subscript $t$ denote the differentiation with respect to $t$. The dependence of $Q(V)$ ($Q$ is a charge density, Coulomb/length) must be specified before we proceed. The simplest choice is to expand $Q(V)$ in a Taylor series as \begin{equation} Q(V)=C_0(V-aV^2). \label{5} \end{equation} >From (1)-(4), we can eliminate the currents, and using (5), we obtain the following set of discrete equations \begin{eqnarray} &&C_0\frac{\partial ^2}{\partial t^2}(V_{2n}-aV_{2n}^2)+\frac{R_2C_0}{L_2}% \frac \partial {\partial t}(V_{2n}-aV_{2n}^2)+G\frac \partial {\partial t}V_{2n} \nonumber \label{6} \\ &=&\frac 1{L_1}(V_{2n-1}-V_{2n})-\frac 1{L_2}(V_{2n}-V_{2n+1})-\frac{R_2G}{% L_2}V_{2n} \label{6} \end{eqnarray} \begin{eqnarray} &&C_0\frac{\partial ^2}{\partial t^2}(V_{2n+1}-aV_{2n+1}^2)+\frac{R_2C_0}{L_2% }\frac \partial {\partial t}(V_{2n+1}-aV_{2n+1}^2)+G\frac \partial {\partial t}V_{2n+1} \nonumber \\ &=&\frac 1{L_2}(V_{2n}-V_{2n+1})-\frac 1{L_1}(V_{2n+1}-V_{2n+2})-\frac{R_2G}{% L_2}V_{2n+1} \label{7} \end{eqnarray} with the duresses \begin{equation} R_2L_1=R_1L_2,\text{ }L_1\geq L_2. \label{8} \end{equation} If we denote by $W_n(t)$ the voltage of the even cells $V_{2n}$ and by $V_n$ the voltage of the odd cells $V_{2n+1},$ system (6),(7) becomes \begin{eqnarray} &&C_0\frac{\partial ^2V_n}{\partial t^2}+\left( \frac{R_2C_0}{L_2}+G\right) \frac{\partial V_n}{\partial t}-aC_0\left( \frac{\partial ^2V_n^2}{\partial t^2}+\frac{R_2}{L_2}\frac{\partial V_n^2}{\partial t}\right) \nonumber \\ &=&\frac 1{L_1}(W_{n-1}-V_n)-\frac 1{L_2}(V_n-W_n)-\frac{R_2G}{L_2}V_n \label{9} \end{eqnarray} \begin{eqnarray} &&C_0\frac{\partial ^2W_n}{\partial t^2}+\left( \frac{R_2C_0}{L_2}+G\right) \frac{\partial W_n}{\partial t}-aC_0\left( \frac{\partial ^2W_n^2}{\partial t^2}+\frac{R_2}{L_2}\frac{\partial W_n^2}{\partial t}\right) \nonumber \\ &=&\frac 1{L_2}(V_n-W_n)-\frac 1{L_1}(W_n-V_{n+1})-\frac{R_2G}{L_2}W_n \label{10} \end{eqnarray} with $n=1,2,...,N,$ where $N$ is the number of cells considered. \section{A\ complex nonlinear Schr\"odinger equation} In this section we consider the propagation of a group of waves centered around the wavenumber $k$ and the frequency $\omega .$ To accomplish this, we use the semidiscrete approximation method$^{5-7)}.$ We follow Taniuti and Yajima$^{8)}$ and seek the solution $V_n(t)$ of the odd cells in the form \begin{equation} V_n(t)=\epsilon V_{11}(n,t)\exp \{i\theta \}+\epsilon ^2V_{22}(n,t)\exp \{2i\theta \}+(^{*}) \label{11} \end{equation} where $\epsilon $ is a small, dimensionless parameter related to the amplitudes, $\theta =2kn-\omega t=\theta (n,t).$ Here $(^{*})$ stands for the complex conjugate of the preceding expression. We use the following ansatz$^{7)}$ to decouple the two equations (9),(10): \begin{eqnarray} W_n(t) &=&\sigma _1\exp \{ik\}\left( V_{11}+\epsilon b_1V_{11,x}+\epsilon ^2% \frac{b_2}2V_{11,xx}+c_8\epsilon ^2V_{11}^{*}V_{22}\right) \exp \{i\theta \}+(^{*}) \nonumber \\ &&\ \ \ +\sigma _2\epsilon ^2\exp \{2ik\}\left( V_{22}+\epsilon c_1V_{22,x}+C_9V_{11}V_{11,x}\right) \exp \{2i\theta \}+(^{*}), \label{12} \end{eqnarray} where $\sigma _1,$ $\sigma _2,$ $b_1,$ $b_2,$ $c_8,$ $c_1,$ and $c_9$ are complex constants to determined; here subscript $x$ denotes the differentiation with respect to $x$. We order the damping coefficients so that the effects of the damping and the nonlinearity appear in the same perturbation equations. Thus we let \begin{equation} \frac{R_2C_0}{L_2}+G=\epsilon ^2\mu \label{13} \end{equation} Substituting (13) into (9) and (10) we obtain \begin{eqnarray} &&\ \ \ C_0V_{n,tt}+\epsilon ^2\mu V_{n,t}-aC_0\left( V_{n,tt}^2+\frac{R_2}{% L_2}V_{n,t}^2\right) \nonumber \label{14} \\ \ &=&\frac 1{L_1}(W_{n-1}-V_n)-\frac 1{L_2}(V_n-W_n)-\epsilon ^2\delta V_n \label{14} \end{eqnarray} \begin{eqnarray} &&\ \ \ C_0W_{n,tt}+\epsilon ^2\mu W_{n,t}-aC_0\left( W_{n,tt}^2+\frac{R_2}{% L_2}W_{n,t}^2\right) \nonumber \label{15} \\ \ &=&\frac 1{L_2}(V_n-W_n)-\frac 1{L_1}(W_n-V_{n+1})-\epsilon ^2\delta W_n. \label{15} \end{eqnarray} In order to determine $V_{11}$ and $V_{22}$, and constants $\sigma _1,$ $% \sigma _2,$ $b_1,$ $b_2,$ $c_8,$ $c_1,$ and $c_9$ we insert $V_n(t)$ from (10) and $W_n(t)$ from (11) and their derivatives into (14) and (15), and impose to the resulting equations to be equivalent. These operations yield many equations distinguished by the powers of $\epsilon $ and the powers of $% \exp \{i\theta \}.$ Equations of $(\epsilon ,\exp \{i\theta \})$ give \begin{equation} \left\{ \begin{array}{c} \left( -C_0\omega ^2+\frac 1L+\frac{R_2G}{L_2}\right) V_{11}=\sigma _1\left( \frac{\exp \{-ik\}}{L_1}+\frac{\exp \{ik\}}{L_2}\right) V_{11} \\ \left( \frac{\exp \{ik\}}{L_1}+\frac{\exp \{-ik\}}{L_2}\right) V_{11}=\sigma _1\left( -C_0\omega ^2+\frac 1L+\frac{R_2G}{L_2}\right) V_{11}, \end{array} \right. \label{16} \end{equation} where $\frac 1L=\frac 1{L_1}+\frac 1{L_2}.$ From (16) one derives the linear dispersion relation \begin{equation} \omega ^2=\frac 1{C_0}\left[ \frac 1L+\frac{R_2G}{L_2}\pm \sqrt{\frac 1{L^2}-\frac 4{L_1L_2}\sin ^2k}\right] \label{17} \end{equation} which is illustrated in Fig. 2 and Fig. 3 for the line parameters $L_1=28\mu H;$ $L_2=14\mu H;$ $C_0=540pF;$ $R_2=10\Omega ;$ and $G=38.6\times 10^{-6}\Omega ^{-1},$ when $0\leq k\leq \pi /2.$ The dispersion relation (17) provides two types of frequency modes: the Low Frequency (LF) mode in the region $\omega _1\leq \omega \leq \omega _2$ (Fig. 2) and the High Frequency (HF) mode for $\omega _3\leq \omega \leq \omega _4$ (Fig. 3)$,$ where the cut-off frequencies $\omega _1,$ $\omega _2, $ $\omega _3,$ and $\omega _4$ are defined by \[ \omega _1=\sqrt{\frac{R_2G}{C_0L_2}};\text{ }\omega _2=\sqrt{\frac 1{C_0}\left( \frac 2{L_1}+\frac{R_2G}{L_2}\right) };\text{ }\omega _3=\sqrt{% \frac{2+R_2G}{C_0L_2}};\text{ }\omega _4=\sqrt{\frac 1{C_0}\left( \frac 2L+% \frac{R_2G}{L_2}\right) }. \] >From (16) we deduce \[ \sigma _1=\frac 1{H_0}\left[ \frac{\cos k}L+i\frac{\sin k}{L_0}\right] , \] where \[ H_0=-C_0\omega ^2+\frac 1L+\frac{R_2G}{L_2},\text{ and }\frac 1{L_0}=\frac 1{L_1}-\frac 1{L_2}.\text{ From (8) we have }\frac 1{L_0}\leq 0. \] \begin{eqnarray*} &&\ \FRAME{itbpxFX}{372.25pt}{270.625pt}{0pt}{}{}{Figure }{\special{language "Scientific Word";type "GRAPHIC";maintain-aspect-ratio TRUE;display "USEDEF";valid_file "T";width 372.25pt;height 270.625pt;depth 0pt;cropleft "0";croptop "1";cropright "1";cropbottom "0";tempfilename 'C:/SW20/DOCCS/GG8Z97X4.bmp';tempfile-properties "XP";}} \\ &&\ Fig.2.\text{ Dispersion curve for the linearized version of the transmission line shown } \\ &&\ \text{in Fig. 1 for the Low Frequency mode.} \end{eqnarray*} \\ From equations of $(\epsilon ^2,\exp \{i\theta \})$ we have \[ \left\{ \begin{array}{c} -2iC_0\omega V_{11,t}=\sigma _1\left[ \left( \frac{\exp \{-ik\}}{L_1}+\frac{% \exp [-ik\}}{L_2}\right) b_1-\frac{2\exp \{-ik\}}{L_1}\right] V_{11,x} \\ -2iC_0\omega V_{11,t}=\left( \frac{2\sigma _1^{*}\exp \{ik\}}{L_1}% -H_0\right) V_{11,x}, \end{array} \right. \] which gives \[ b_1=\frac 4{L_1H_0^2}\left( \frac 1{L_1}+\frac{\cos (2k)}{L_2}\right) -1. \] \begin{eqnarray*} &&\ \text{\FRAME{itbpxFX}{455.8125pt}{270.625pt}{0pt}{}{}{Figure }{\special{% language "Scientific Word";type "GRAPHIC";maintain-aspect-ratio TRUE;display "USEDEF";valid_file "T";width 455.8125pt;height 270.625pt;depth 0pt;cropleft "0";croptop "1";cropright "1";cropbottom "0";tempfilename 'C:/SW20/DOCCS/GG8ZO58Z.bmp';tempfile-properties "XP";}}} \\ &&\ \text{Fig. 3. Dispersion curve for the linearized version of the transmission line shown } \\ &&\ \text{in Fig. 1 for the High Frequency mode.} \end{eqnarray*} \\Equations of $(\epsilon ^2,\exp \{2i\theta \})$ yield \[ \left\{ \begin{array}{c} \left[ H_0-3C_0\omega ^2-\left( \frac{\exp \{2ik\}}{L_2}+\frac{\exp \{-2ik\}% }{L_1}\right) \sigma _2\right] V_{22}=aC_0\left( -4\omega ^2-2i\omega \frac{% R_2}{L_2}\right) V_{11}^2 \\ \left[ \left( H_0-3C_0\omega ^2\right) \sigma _2-\left( \frac{\exp \{-2ik\}}{% L_2}+\frac{\exp \{2ik\}}{L_1}\right) \right] V_{22}=aC_0\left( -4\omega ^2-2i\omega \frac{R_2}{L_2}\sigma _1\right) V_{11}^2, \end{array} \right. \] from where we obtain \[ \sigma _2=\frac{\left( H_0-3C_0\omega ^2\right) \left( 2\omega ^2\sigma _1+i\sigma _1^2\frac{R_2}{L_2}\right) +\left( 2\omega ^2+i\frac{R_2}{L_2}% \right) \left( \frac{\exp \{-2k\}}{L_2}+\frac{\exp \{2ik\}}{L_1}\right) }{% \left( 2\omega ^2+i\frac{R_2}{L_2}\right) \left( H_0-3C_0\omega ^2\right) +\left( 2\omega ^2\sigma _1+i\sigma _1^2\frac{R_2}{L_2}\right) \left( \frac{% \exp \{2k\}}{L_2}+\frac{\exp \{-2ik\}}{L_1}\right) } \] and \[ V_{22}=\frac{-2aC_0\omega \left( 2\omega +i\frac{R_2}{L_2}\right) }{% H_0-3C_0\omega ^2-\left( \frac{\exp \{2ik\}}{L_2}+\frac{\exp \{-2ik\}}{L_1}% \right) \sigma _2}V_{11}^2. \] Equations of $(\epsilon ^3,\exp \{i\theta \})$ give \begin{equation} \left\{ \begin{array}{c} C_0\left( V_{11,tt}-2i\omega V_{11,t}\right) -i\omega \mu V_{11}+\left[ 2aC_0\omega \left( \omega +i\frac{R_2}{L_2}\right) -H_0c_8\right] V_{11}^{*}V_{22} \\ +\left[ \sigma _1\frac{\exp \{-ik\}}{L_1}(2b_1-1)-\frac{H_0}2b_2\right] V_{11,xx}=0 \\ C_0\left( V_{11,tt}-2i\omega V_{11,t}\right) -i\omega \mu V_{11}+\left[ aC_0\omega ^2\sigma _1^{*^2}\sigma _2+\left( H_0+aC_0i\omega \frac{R_2}{L_2}% \right) c_8\right] \times \\ \times V_{11}^{*}V_{22}+\left[ \left( H_0+aC_0i\omega \right) \frac{b_2}2-% \frac{\sigma _1^{*}\exp \{ik\}}{L_1}\right] V_{11,xx}-C_0b_1\left[ 2i\omega ++a\frac{R_2}{L_2}\right] V_{11,xt}=0 \end{array} \right. \label{18} \end{equation} The compatibility condition for the nonlinear term $V_{11}^{*}V_{22}$ gives \[ c_8=\frac{aC_0\left[ 2\omega \left( \omega +i\frac{R_2}{L_2}\right) -\omega ^2\frac{\sigma _2}{\sigma _1^2}\right] }{2H_0+aC_0i\omega \frac{R_2}{L_2}} \] and the compatibility condition for $V_{11,xx}$ gives \[ b_2=\frac{2\left[ \sigma _1\left( 2b_1-1\right) \exp \{-ik\}+\sigma _1^{*}\exp \{ik\}\right] }{L_1\left[ 2H_0+aC_0i\omega \right] }. \] Using Galilea transformation \[ \xi =x-\frac{d\omega }{dk}t,\text{ }\tau =t \] in the second equation of (18) and by going into the reference frame moving with the group velocity $V_g=\frac{d\omega }{dt}$, we derive the resulting equation for $V_{11}$ that describes the evolution of the wave packet \begin{equation} iV_{11,\tau }+PV_{11,\xi \xi }+Q\left| V_{11}\right| ^2V_{11}+i\Gamma V_{11}=0 \label{19} \end{equation} where \begin{eqnarray*} P &=&P(k)=\frac 1{2C_0\omega }\left[ \frac{\exp \{ik\}}{\sigma _1L_1}-\left( H_0+aC_0i\omega \right) \frac{b_2}2-C_0\left( \frac{d\omega }{dk}\right) ^2\right. \\ &&\left. -\frac{d\omega }{dk}\left( 2C_0b_1i\omega +aC_0b_1\frac{R_2}{L_2}% \right) \right] ; \end{eqnarray*} \[ Q=Q(k)=\frac{a\left( 2\omega +i\frac{R_2}{L_2}\right) \left[ aC_0\omega ^2% \frac{\sigma _2}{\sigma _1^2}+\left( H_0+aC_0i\omega \frac{R_2}{L_2}\right) c_8\right] }{H_0-3C_0\omega ^2-\left( \frac{\exp \{2ik\}}{L_2}+\frac{\exp \{-2ik\}}{L_1}\right) \sigma _2}; \] \[ \Gamma =\frac \mu {2C_0}. \] Equation (19 is a complex nonlinear Schr\"odinger equation. If we denote by $% P_r,$ $Q_r,$ and $\Gamma _r$ the real parts of $P,$ $Q,$ and $\Gamma ,$ respectively and by $P_i,$ $Q_i,$ and $\Gamma _i$ the imaginary parts of $P,$ $Q,$ and $\Gamma ,$ respectively, then we can write \[ P=P_r+iP_i;\text{ }Q=Q_r+iQ_i;\text{ }\Gamma =\Gamma _r+i\Gamma _i. \] \section{Envelope modulational instability for the CNLS equation} In this section we consider the modulation of the envelope of the unstable periodic solution of Eq. (19) by considering a first perturbation of the amplitude of a plane wave$^{7,9-10)}.$ First we investigate periodic solution of Eq. (19). Thus we seek a solution in the form \begin{equation} V_{11}=A\exp \left\{ i\left( \tilde k\xi -\tilde \omega \tau \right) \right\} \label{20} \end{equation} where $A$ is a complex constant, $\tilde \omega $ and $\tilde k$ are real constants. Substituting (20) into (19), we obtain \begin{equation} \tilde \omega -\tilde k^2P+\left| A\right| ^2Q+\Gamma =0. \label{21} \end{equation} Next we perturb $V_{11}.$ That is, we let \begin{equation} V_{11}=\left[ 1+b\right] A\exp \left\{ i\left( \tilde k\xi -\tilde \omega \tau \right) \right\} +(^{*}) \label{22} \end{equation} where $b=b(\xi ,\tau )$ is assumed to be infinitesimal. Substituting (22) into (19), using (21) and keeping only linear terms in the perturbation quantity, we obtain \begin{equation} ib_\tau +Pb_{\xi \xi }+2i\tilde kPb_\xi +\left| A\right| ^2Q\left( b+b^{*}\right) . \label{23} \end{equation} Since (23) has constant coefficients, one can represent its solutions in the form \begin{equation} b(\xi ,\tau )=b_1\exp \left\{ i\left( K\xi +\Omega \tau \right) \right\} +b_2^{*}\exp \left\{ -i\left( K\xi +\Omega ^{*}\tau \right) \right\} \label{24} \end{equation} where $b_1,$ $b_2,$ $K,$ and $\Omega $ are constants. Substituting (24) into (23) yield \begin{equation} \left\{ \begin{array}{c} \left( \Omega +K^2P+2\tilde kKP-\left| A\right| ^2Q\right) b_1-\left| A\right| ^2Qb_2=0 \\ \left| A\right| ^2Q^{*}b_1+\left( \Omega -K^2P^{*}+2\tilde kKP^{*}+\left| A\right| ^2Q^{*}\right) b_2=0. \end{array} \right. \label{25} \end{equation} For a nontrivial solution the determinant of the coefficient matrix (25) must vanish. That is, \begin{equation} \left. \left[ \Omega +\left( 2\tilde kKP_r+i\left( K^2P_i-\left| A\right| ^2Q_i\right) \right) \right] ^2=X+iY,\right. \label{26} \end{equation} where \begin{eqnarray*} X &=&K^4P_r^2-4\tilde k^2K^2P_i^2-\left| A\right| ^4Q_i^2+2K^2\left| A\right| ^2P_iQ_i-2K^2\left| A\right| ^2\left( P_rQ_r+P_iQ_i\right) ; \\ Y &=&4\tilde kKP_i\left( K^2P_r-\left| A\right| ^2Q_r\right) . \end{eqnarray*} If we introduce the notations \begin{equation} H_1=\pm \sqrt{\frac 12\left( X+\sqrt{X^2+Y^2}\right) }\text{ and }H_2=\pm \sqrt{\frac 12\left( -X+\sqrt{X^2+Y^2}\right) } \label{27} \end{equation} then from (26) we have \begin{equation} \Omega =\left( -2\tilde kKP_r\pm H_1\right) +i\left( \left| A\right| ^2Q_i-K^2P_i\pm H_2\right) . \label{28} \end{equation} We deduce from (24), (27), and (28) that for the boundedness of $b(\xi ,\tau )$ (as $\tau \rightarrow +\infty )$ it is necessary and sufficient that at least one of the following conditions occurs a) $K$ is a solution of equation \begin{equation} \left| A\right| ^2Q_i-K^2P_i\pm H_2=0 \label{29} \end{equation} b) \begin{equation} \left| A\right| ^2Q_i-K^2P_i\pm H_2>0. \label{30} \end{equation} We should note that condition (29) means that $\Omega $ is real and condition (30) means that the imaginary part of $\Omega $ is positive. It follows from (28) that for $\Omega $ to be complex so that $b(\xi ,\tau )$ is unbounded (as $\tau \rightarrow +\infty )$ it is necessary and sufficient that the wavenumber of the perturbation $K$ should be solution of system \begin{equation} \left\{ \begin{array}{c} \sqrt{\frac 12\left( -X+\sqrt{X^2+Y^2}\right) }+\left| A\right| ^2Q_i-K^2P_i<0 \\ -\sqrt{\frac 12\left( -X+\sqrt{X^2+Y^2}\right) }+\left| A\right| ^2Q_i-K^2P_i<0. \end{array} \right. \label{31} \end{equation} A necessary condition for (31) to have a solution is that \begin{equation} \left| A\right| ^2Q_i-K^2P_i<0. \label{32} \end{equation} It follows from (32) that \begin{equation} K^2>\left| A\right| ^2Q_iP_i^{-1},\text{ if }P_i>0 \label{33} \end{equation} and \begin{equation} K^2\acute <\left| A\right| ^2Q_iP_i^{-1},\text{ if }P_i<0. \label{34} \end{equation} >From (33) we have $K>\left| A\right| \sqrt{Q_iP_i^{-1}},$ if $P_iQ_i>0$ and $% K>0$ if P$_iQ_i<0,$ and from (34) we have $0<K<\left| A\right| \sqrt{Q_i/P_i} $ if $P_iQ_i>0.$ We have the following conclusions: i) If $P_iQ_i>0$ and either $P_i>0$ and $K>\left| A\right| \sqrt{Q_iP_i^{-1}} $ or $P_i<0$ and $0<K<\left| A\right| \sqrt{Q_1P_i^{-1}}$ then for the modulational instability for the plane wave in the nonlinear dissipative transmission line, it is necessary that \begin{equation} P_rQ_r+P_iQ_i>\frac{K^4(2P_i^2+P_r^2)+\left| A\right| ^4Q_i^2}{2K^2\left| A\right| ^2}>0 \label{35} \end{equation} ii) If $P_i>0,$ $P_iQ_i<0$ and $K>0,$ then for the modulational instability for the plane wave in the nonlinear dissipative transmission line, it is necessary that \begin{equation} P_rQ_r+P_iQ_i>\frac{K^4(2P_i^2+P_r^2)+\left| A\right| ^4Q_i^2-2K^2\left| A\right| ^2P_iQ_i}{2K^2\left| A\right| ^2}>0. \label{36} \end{equation} >From (35) and (36) we obtain \[ P_rQ_r+P_iQ_i>0 \] which is the well known Lange and Newell's criterion$^{10)}$ of the modulational instability. \begin{thebibliography}{99} \bibitem{b1} A. Scott, ''Active and nonlinear wave propagation in electronics'', (Wiley-Interscience, New York, 1970). \bibitem{B2} K.E. Lonngren and A. Scott, ''Solitons in action'', (Academic Press, New York, 1978). \bibitem{B3} L.A. Ostrovsky, K.A. Gorshkov and V.V. Papko, Phys. Scripta {\bf 20}, 357, (1979). \bibitem{B4} H. Nagashima and Y. Amagishi, J. Phys. Soc. Jpn {\bf 45}, 680, (1978). \bibitem{B5} A. Tsurui, Progr. Theor. Phys. {\bf 48}, 1196 (1972) and J. Phys. Soc. Jpn 34, 1462 (1973). \bibitem{B6} T. Kawahara, J. Phys. Soc. Jpn {\bf 35}, 1537 (1973). \bibitem{B7} F.B. Pelap and Kofan\'e, Phys. Scripta {\bf 57}, 410 (1998). \bibitem{B8} T. Tanuiti and N. Yajima, J. Math. Phys. {\bf 10}, 1369 (1969). \bibitem{B9} A.C. Newell, Lect. Appl. Math. {\bf 15}, 157 (1974). \bibitem{B10} C.G. Lange and A.C. Newell, SIAM J. Appl. Math. {\bf 27}, 441 (1974). \end{thebibliography} \end{document}
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