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 5.6 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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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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具有克尔定律的Lakshmanan-Porsezian-Daniel方程和Sasa-Satsuma方程在时空色散和乘性白噪声存在下的扰动串联模型
本文研究了具有非线性、微扰和时空色散的克尔定律的具有乘性白噪声的Lakshmanan-Porsezian-Daniel方程和Sasa-Satsuma方程组合的行波解。该模型对通信、光学、物理等领域具有重要意义。首先,将行波变换代入模型进行数学分析。其次,分析了该方程的动力学性质和混沌行为。最后,利用试方程法和多项式法的完全判别系统,得到了该方程的更多形式的行波解。与以往的研究相比,本文的新见解是发现由于解的非平均仍然保留了孤子和周期模式的特征,否则随机平均结果将破坏这些特征。通过图像可以清楚地看到白噪声产生的延迟因子所引起的幅度变化。
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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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