The Classification of the Exact Single Travelling Wave Solutions to the Constant Coefficient KP-mKP Equation Employing Complete Discrimination System for Polynomial Method

IF 1.2 Q3 MATHEMATICS, APPLIED Computational and Mathematical Methods Pub Date : 2022-03-25 DOI:10.1155/2022/3844031
Tanay Sarkar, Santanu Raut, Prakash Chandra Mali
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Abstract

The purpose of this article is to explore different types of solutions for the Kadomtsev-Petviashvili-modified Kadomtsev-Petviashvili (KP-mKP) equation which is termed as KP-Gardner equation, extensively used to model strong nonlinear internal waves in (1 + 2)-dimensions on the stratified ocean shelf. This evolution equation is also used to describe weakly nonlinear shallow-water wave and dispersive interracial waves traveling in a mildly rotating channel with slowly varying topography. Introducing Liu’s approach regarding the complete discrimination system for polynomial and the trial equation technique, a set of new solutions to the KP-mKP equation containing Jacobi elliptic function have been derived. It is found that these analytical solutions numerically exhibit different nonlinear structures such as solitary waves, shock waves, and periodic wave profiles. The reliability and effectiveness are confirmed from the numerical graphs of the solutions. Finally, the existence and validity of the various topological structures of the solutions are confirmed from the phase portrait of the dynamical system. Based on this investigation, it is confirmed that the method is not only suited for obtaining the classification of the solutions but also for qualitative analysis, which means that it can also be extended to other fields of application.

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用多项式法完全判别系统分类常系数KP-mKP方程的精确单行波解
本文的目的是探讨Kadomtsev-Petviashvili修正Kadomtsev-Petviashvili (KP-mKP)方程的不同类型的解,该方程被称为KP-Gardner方程,广泛用于模拟分层大陆架上(1 + 2)维的强非线性内波。该演化方程也可用于描述在地形缓慢变化的缓旋转通道中传播的弱非线性浅水波和色散杂波。引入Liu关于多项式完全判别系统的方法和试方程技术,导出了包含Jacobi椭圆函数的KP-mKP方程的一组新解。这些解析解在数值上表现出不同的非线性结构,如孤立波、激波和周期波剖面。通过数值图验证了该方法的可靠性和有效性。最后,从动力系统的相图出发,证实了解的各种拓扑结构的存在性和有效性。研究表明,该方法不仅适用于解的分类,也适用于定性分析,可以推广到其他应用领域。
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