Convergence of Explicit Runge–Kutta Discontinuous Galerkin Approximations of the First-Order Form of Maxwell’s Equations with Low Regularity Solutions

IF 3.2 2区 数学 Q1 MATHEMATICS, APPLIED
Alexandre Ern, Jean-Luc Guermond
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引用次数: 0

Abstract

SIAM Journal on Numerical Analysis, Volume 64, Issue 5, Page 2028-2050, October 2026.
Abstract. We establish a convergence result for the approximation of low-regularity solutions to time-dependent PDE systems that have an involution structure similar to Maxwell’s equations and the linear wave equations. The approximation is based on an explicit Runge–Kutta (ERK) time-stepping and the discontinuous Galerkin (dG) method with stabilization (so-called upwind fluxes) in space. The regularity setting only assumes that the exact solution and its first time derivative are in [math] with a Sobolev regularity index [math] in [math] (here, [math] is the time interval and [math] the space domain), and that its second time derivative is in [math]. The two main tools for the convergence analysis are a Ritz projection in space that leverages recent convergence results in operator norm for the dG approximation of the steady form of the PDE, and the [math]-stability under a standard CFL condition of three-stage, third-order and four-stage, fourth-order ERK schemes. These latter results are known in the literature, but we provide here a somewhat simpler argument to prove the [math]-stability.
具有低正则解的Maxwell方程组一阶形式的显式Runge-Kutta不连续Galerkin逼近的收敛性
SIAM数值分析杂志,64卷,第5期,2028-2050页,2026年10月。摘要。我们建立了具有类似于麦克斯韦方程和线性波动方程的对合结构的时变PDE系统的低正则解逼近的收敛结果。该近似基于显式龙格-库塔(ERK)时间步进和空间稳定化(所谓的逆风通量)的不连续伽辽金(dG)方法。正则性设置仅假设精确解及其第一次导数在[math]中,Sobolev正则性索引[math]在[math]中(这里,[math]是时间间隔,[math]是空间域),并且它的第二次导数在[math]中。收敛分析的两个主要工具是空间中的Ritz投影,它利用算子范数对PDE稳定形式的dG近似的最近收敛结果,以及在标准CFL条件下的三级三阶和四级四阶ERK格式的[数学]稳定性。后一种结果在文献中是已知的,但我们在这里提供一个更简单的论点来证明[数学]稳定性。
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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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