(2+1)维变系数广义Kadomtsev-Petviashvili方程非零背景下各局部波的非线性特性

IF 2.9 3区 数学 Q1 MATHEMATICS, APPLIED
Na Lv , Jiaping Sun , Runfa Zhang , Xuegang Yuan , Yichao Yue
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引用次数: 0

摘要

本文利用对称变换和双线性神经网络方法研究了一类(2+1)维变系数广义Kadomtsev-Petviashvili (KP)方程。通过构建“3-3-1”神经网络模型,成功地得到了方程的各种重要解析解,包括呼吸波解、突变波解和相互作用解。然后通过选择合适的参数和三维动画分析这些解析解的演化行为。特别地,提出了三种有趣的相互作用现象:异常波是由两个运动的孤立波产生的,它们在不同的非零背景波上具有不同的演化行为。对各种局部波的研究有助于了解非线性波的动力特性,并可进一步应用于科学研究和工程实践领域。本文旨在为光学、流体力学等领域的非线性波演化研究提供理论指导和参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nonlinear characteristics of various local waves on nonzero backgrounds of a (2+1)-dimensional generalized Kadomtsev–Petviashvili equation with variable coefficients
In this paper, a (2+1)-dimensional generalized Kadomtsev–Petviashvili (KP) equation with variable coefficients is studied by the symmetry transformation and bilinear neural network method. By constructing the “3-3-1” neural network models, various important analytical solutions of the equation are successfully obtained, including the breather wave solutions, rogue wave solutions and interaction solutions. Then the evolution behaviors of these analytical solutions are analyzed through selecting appropriate parameters and 3D animations. Specially, three interesting interaction phenomena are presented, i.e., the rogue waves are generated from two moving solitary waves, which have different evolution behaviors on different nonzero background waves. The study of various local waves is helpful to understand the dynamic characteristics of the nonlinear waves, and may be further applied in the fields of scientific research and engineering practice. This paper is used to provide the theoretical guidance and references for the research of studying the evolutions of nonlinear waves in optics, fluid mechanics, and other fields.
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来源期刊
Physica D: Nonlinear Phenomena
Physica D: Nonlinear Phenomena 物理-物理:数学物理
CiteScore
7.30
自引率
7.50%
发文量
213
审稿时长
65 days
期刊介绍: Physica D (Nonlinear Phenomena) publishes research and review articles reporting on experimental and theoretical works, techniques and ideas that advance the understanding of nonlinear phenomena. Topics encompass wave motion in physical, chemical and biological systems; physical or biological phenomena governed by nonlinear field equations, including hydrodynamics and turbulence; pattern formation and cooperative phenomena; instability, bifurcations, chaos, and space-time disorder; integrable/Hamiltonian systems; asymptotic analysis and, more generally, mathematical methods for nonlinear systems.
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