The perturbed concatenated model of the Lakshmanan–Porsezian–Daniel and the Sasa–Satsuma equations having the Kerr law in the presence of spatio-temporal dispersion and multiplicative white noise

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Chaos Solitons & Fractals Pub Date : 2025-02-14 DOI:10.1016/j.chaos.2025.116106
Bing-Wen Zhang
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引用次数: 0

Abstract

This article examines the traveling wave solutions of the combination of the Lakshmanan–Porsezian–Daniel equation and the Sasa–Satsuma equation with the Kerr law of nonlinearity, perturbation and spatio-temporal dispersion, which have multiplicative white noise. This model is of great significance to communication, optics, physics and other fields. Firstly, the traveling wave transform is substituted into the model for mathematical analysis. Secondly, the dynamical properties and chaotic behaviors of the equation are also analyzed. Finally, by using the trial equation method and the complete discrimination system for polynomial method, more forms of the traveling wave solutions of this equation are obtained. Compared with the previous studies, the new insights in our paper is to find that since the non-average of the solutions still preserves the characteristics of the soliton and periodic modes, otherwise the random average results will destroy these characteristics. The change of amplitude due to the delay factor produced by white noise can be clearly seen through the images.
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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