Lattice approach to the dynamics of phase-coded soliton trains

Derevyanko, Stanislav, Prylepskiy, Yaroslav and Turitsyn, Sergei (2012). Lattice approach to the dynamics of phase-coded soliton trains. Journal of physics A: mathematical and theoretical, 45 (2),

Abstract

We address the collective dynamics of a soliton train propagating in a medium described by the nonlinear Schrödinger equation. Our approach uses the reduction of train dynamics to the discrete complex Toda chain (CTC) model for the evolution of parameters for each train constituent: such a simplification allows one to carry out an approximate analysis of the dynamics of positions and phases of individual interacting pulses. Here, we employ the CTC model to the problem which has relevance to the field of fibre optics communications where each binary digit of transmitted information is encoded via the phase difference between the two adjacent solitons. Our goal is to elucidate different scenarios of the train distortions and the subsequent information garbling caused solely by the intersoliton interactions. First, we examine how the structure of a given phase pattern affects the initial stage of the train dynamics and explain the general mechanisms for the appearance of unstable collective soliton modes. Then we further discuss the nonlinear regime concentrating on the dependence of the Lax scattering matrix on the input phase distribution; this allows one to classify typical features of the train evolution and determine the distance where the soliton escapes from its slot. In both cases, we demonstrate deep mathematical analogies with the classical theory of crystal lattice dynamics.

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Uncontrolled Keywords: soliton train propagating, nonlinear Schrödinger equation, discrete complex Toda chain train dynamics, discrete complex Toda chain, interacting pulses, optics communications, train distortions, information garbling, intersoliton interactions, Mathematical Physics, Physics and Astronomy(all), Statistical and Nonlinear Physics, Modelling and Simulation, Statistics and Probability
Published Date: 2012-01-20
Authors: Derevyanko, Stanislav
Prylepskiy, Yaroslav
Turitsyn, Sergei

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