Numerical study of vector solitons with the oscillatory phase backgrounds in the integrable coupled nonlinear Schrödinger equations

IF 4.4 2区 数学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Mathematics and Computers in Simulation Pub Date : 2024-09-20 DOI:10.1016/j.matcom.2024.09.009
Lei Liu , Xuan-Xuan Zhou , Xi-Yang Xie , Wen-Rong Sun
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Abstract

In this paper, we numerically investigate vector solitons with oscillatory phase backgrounds in the integrable coupled nonlinear Schrödinger equations, which are widely applied to varieties of physical contexts such as the simultaneous propagation of nonlinear optical pulses and the dynamics of two-components Bose–Einstein condensates. We develop the time-splitting Chebyshev–Galerkin method based on a transformation to accurately compute the vector soliton solutions. Compared to the finite difference method, numerical experiments show that the method with spectral accuracy and high efficiency is necessary for simulating the dynamics evolution of vector solitons. Combined with modulation instability conditions, linear stability analysis and direct numerical simulation, we reveal that the bright-dark and dark-dark solitons with various combinations of parameters under perturbations have qualitative differences. Particularly, vector solitons in unstable background with different wave numbers present distinct dynamics evolutions. The results help us to understand soliton dynamics with oscillatory phase backgrounds and the superposition between nonlinear waves.
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可积分耦合非线性薛定谔方程中具有振荡相位背景的矢量孤子的数值研究
本文对可积分耦合非线性薛定谔方程中具有振荡相位背景的矢量孤子进行了数值研究,该方程被广泛应用于非线性光脉冲的同步传播和双分量玻色-爱因斯坦凝聚体的动力学等多种物理环境。我们开发了基于变换的时间分割 Chebyshev-Galerkin 方法,以精确计算矢量孤子解。与有限差分法相比,数值实验表明,具有频谱精度和高效率的方法是模拟矢量孤子动力学演化所必需的。结合调制不稳定性条件、线性稳定性分析和直接数值模拟,我们发现在扰动作用下,不同参数组合的明暗孤子和暗暗孤子存在质的差异。特别是在不同波数的不稳定背景下,矢量孤子呈现出截然不同的动力学演变。这些结果有助于我们理解具有振荡相位背景的孤子动力学以及非线性波之间的叠加。
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来源期刊
Mathematics and Computers in Simulation
Mathematics and Computers in Simulation 数学-计算机:跨学科应用
CiteScore
8.90
自引率
4.30%
发文量
335
审稿时长
54 days
期刊介绍: The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles. Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO. Topics covered by the journal include mathematical tools in: •The foundations of systems modelling •Numerical analysis and the development of algorithms for simulation They also include considerations about computer hardware for simulation and about special software and compilers. The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research. The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.
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