耦合非线性薛定谔-KdV方程的物理不变式保留紧凑差分方案

IF 2.2 2区 数学 Q1 MATHEMATICS, APPLIED Applied Numerical Mathematics Pub Date : 2024-06-07 DOI:10.1016/j.apnum.2024.06.007
Yuyu He , Hongtao Chen , Bolin Chen
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引用次数: 0

摘要

本文为耦合非线性薛定谔-KdV(CNLS-KdV)方程开发了高效的紧凑差分方案,以保存所有物理不变式,即振荡能量、质子数、粒子数和动量。结合指数标量辅助变量(E-SAV)方法,我们重构了原始的 CNLS-KdV 方程,并采用紧凑差分法和 Crank-Nicolson 法建立了能量稳定方案。E-SAV 紧凑差分方案保留了总能量和粒子数。我们进一步为 E-SAV 重述系统引入了两个拉格朗日乘法器,建立了紧凑差分方案,该方案精确地保留了质点数量和动量。在第二种方案的每个时间步中,我们只需求解常数系数线性方程组和非线性二次代数方程组,这些方程组可通过牛顿迭代法高效求解。数值实验表明了所提方案的有效性、准确性和性能。
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Physical invariants-preserving compact difference schemes for the coupled nonlinear Schrödinger-KdV equations

In this paper, we develop efficient compact difference schemes for the coupled nonlinear Schrödinger-KdV (CNLS-KdV) equations to conserve all the physical invariants, namely, the energy of oscillations, the number of plasmon, the number of particle and the momentum. By combining the exponential scalar auxiliary variable (E-SAV) approach, we reconstruct the original CNLS-KdV equations and adopt the compact difference method and Crank-Nicolson method to develop energy stable scheme. The E-SAV compact difference scheme preserves the total energy and the number of particle. We further introduce two Lagrange multipliers for the E-SAV reformulation system to develop compact difference scheme, which preserves exactly the number of plasmon and the momentum. At each time step for the second scheme, we only need to solve linear systems with constant coefficients and nonlinear quadratic algebraic equations which can be efficiently solved by Newton's iteration. Numerical experiments are given to show the effectiveness, accuracy and performance of the proposed schemes.

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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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