针对线性化 KdV 方程的隐式-显式时间行进局部非连续伽勒金方法分析

IF 2.8 2区 数学 Q1 MATHEMATICS, APPLIED SIAM Journal on Numerical Analysis Pub Date : 2024-09-19 DOI:10.1137/24m1635818
Haijin Wang, Qi Tao, Chi-Wang Shu, Qiang Zhang
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引用次数: 0

摘要

SIAM 数值分析期刊》第 62 卷第 5 期第 2222-2248 页,2024 年 10 月。 摘要本文介绍了线性化一维 KdV 方程的两种完全离散 IMEX-LDG 方案的稳定性和误差分析,这两种方案结合了局部不连续 Galerkin 空间离散和隐式-显式 Runge-Kutta 时间离散。能量稳定性分析从阶段解的一系列时差开始。然后,通过从时差中探索稳定机制,构建与离散项离散化相关的半负定对称形式,并采用辅助变量与质点变量之间的重要关系来控制反离散项,我们推导出了涉及质点变量和所有辅助变量的离散能量的无条件稳定性,即时间步长由一个与空间网格大小无关的常数限定。我们还提出了一种新的投影技术,并采用时间方向上的分部求和技术来实现最佳精度阶次。新的投影技术可以作为一种分析工具,应用于一般的奇阶波方程。最后,通过数值实验检验了所考虑方案的稳定性和准确性。
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Analysis of Local Discontinuous Galerkin Methods with Implicit-Explicit Time Marching for Linearized KdV Equations
SIAM Journal on Numerical Analysis, Volume 62, Issue 5, Page 2222-2248, October 2024.
Abstract. In this paper, we present the stability and error analysis of two fully discrete IMEX-LDG schemes, combining local discontinuous Galerkin spatial discretization with implicit-explicit Runge–Kutta temporal discretization, for the linearized one-dimensional KdV equations. The energy stability analysis begins with a series of temporal differences about stage solutions. Then by exploring the stability mechanism from the temporal differences, and by constructing the seminegative definite symmetric form related to the discretization of the dispersion term, and by adopting the important relationships between the auxiliary variables with the prime variable to control the antidissipation terms, we derive the unconditional stability for a discrete energy involving the prime variable and all the auxiliary variables, in the sense that the time step is bounded by a constant that is independent of the spatial mesh size. We also propose a new projection technique and adopt the technique of summation by parts in the time direction to achieve the optimal order of accuracy. The new projection technique can serve as an analytical tool to be applied to general odd order wave equations. Finally, numerical experiments are shown to test the stability and accuracy of the considered schemes.
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来源期刊
CiteScore
4.80
自引率
6.90%
发文量
110
审稿时长
4-8 weeks
期刊介绍: SIAM Journal on Numerical Analysis (SINUM) contains research articles on the development and analysis of numerical methods. Topics include the rigorous study of convergence of algorithms, their accuracy, their stability, and their computational complexity. Also included are results in mathematical analysis that contribute to algorithm analysis, and computational results that demonstrate algorithm behavior and applicability.
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