Hamiltonian boundary value methods applied to KdV-KdV systems

IF 2.4 2区 数学 Q1 MATHEMATICS, APPLIED
Qian Luo , Aiguo Xiao , Xuqiong Luo , Xiaoqiang Yan
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引用次数: 0

Abstract

In this paper, we propose a highly accurate scheme for two KdV systems of the Boussinesq type under periodic boundary conditions. The proposed scheme combines the Fourier-Galerkin method for spatial discretization with Hamiltonian boundary value methods for time integration, ensuring the conservation of discrete mass and energy. By expanding the system in Fourier series, the equations are firstly transformed into Hamiltonian form, preserving the original Hamiltonian structure. Applying the Fourier-Galerkin method for semi-discretization in space, we obtain a large-scale system of Hamiltonian ordinary differential equations, which is then solved using a class of energy-conserving Runge-Kutta methods, known as Hamiltonian boundary value methods. The efficiency of this approach is assessed, and several numerical examples are provided to demonstrate the effectiveness of the method.
应用于KdV-KdV系统的哈密顿边值方法
本文给出了周期边界条件下两个Boussinesq型KdV系统的高精度格式。该方案结合傅里叶-伽辽金方法进行空间离散和哈密顿边值方法进行时间积分,保证了离散质量和能量的守恒。通过对系统进行傅里叶级数展开,首先将方程转化为哈密顿形式,保留了原来的哈密顿结构。应用傅里叶-伽辽金方法在空间中进行半离散化,得到了一个大规模的哈密顿常微分方程系统,然后用一类节能的龙格-库塔方法求解,即哈密顿边值方法。对该方法的有效性进行了评价,并给出了几个数值算例来验证该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied Numerical Mathematics
Applied Numerical Mathematics 数学-应用数学
CiteScore
5.60
自引率
7.10%
发文量
225
审稿时长
7.2 months
期刊介绍: The purpose of the journal is to provide a forum for the publication of high quality research and tutorial papers in computational mathematics. In addition to the traditional issues and problems in numerical analysis, the journal also publishes papers describing relevant applications in such fields as physics, fluid dynamics, engineering and other branches of applied science with a computational mathematics component. The journal strives to be flexible in the type of papers it publishes and their format. Equally desirable are: (i) Full papers, which should be complete and relatively self-contained original contributions with an introduction that can be understood by the broad computational mathematics community. Both rigorous and heuristic styles are acceptable. Of particular interest are papers about new areas of research, in which other than strictly mathematical arguments may be important in establishing a basis for further developments. (ii) Tutorial review papers, covering some of the important issues in Numerical Mathematics, Scientific Computing and their Applications. The journal will occasionally publish contributions which are larger than the usual format for regular papers. (iii) Short notes, which present specific new results and techniques in a brief communication.
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