双尺度问题中线性双曲松弛系统的耦合条件

IF 2.2 2区 数学 Q1 MATHEMATICS, APPLIED Mathematics of Computation Pub Date : 2023-05-08 DOI:10.1090/mcom/3845
Juntao Huang, Ruo Li, Yizhou Zhou
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引用次数: 0

摘要

本文研究了具有多重松弛时间的线性双曲松弛系统的耦合条件。在松弛时间较小的区域,为了提高计算效率,可以采用平衡系统。关键假设是松弛系统满足Yong的结构稳定条件[J]。微分方程,155 (1999),pp. 89-132]。对于非特征情况,我们导出了在界面处耦合两个系统的耦合条件。通过能量估计和拉普拉斯变换证明了该方法的有效性,表明了区域分解方法的误差取决于较小的松弛时间和边界层效应。此外,我们提出了一个不连续Galerkin (DG)数值格式来求解该耦合条件下的界面问题,并证明了l2l ^2的稳定性。通过对线性化的Carleman模型和线性化的Grad力矩系统的分析,验证了DG方案的有效性。
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Coupling conditions for linear hyperbolic relaxation systems in two-scale problems
This work is concerned with coupling conditions for linear hyperbolic relaxation systems with multiple relaxation times. In the region with a small relaxation time, an equilibrium system can be used for computational efficiency. The key assumption is that the relaxation system satisfies Yong’s structural stability condition [J. Differential Equations, 155 (1999), pp. 89–132]. For the non-characteristic case, we derive a coupling condition at the interface to couple two systems in a domain decomposition setting. We prove the validity by the energy estimate and Laplace transform, which shows how the error of the domain decomposition method depends on the smaller relaxation time and the boundary-layer effects. In addition, we propose a discontinuous Galerkin (DG) numerical scheme for solving the interface problem with the derived coupling condition and prove the L 2 L^2 stability. We validate our analysis on the linearized Carleman model and the linearized Grad’s moment system and show the effectiveness of the DG scheme.
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来源期刊
Mathematics of Computation
Mathematics of Computation 数学-应用数学
CiteScore
3.90
自引率
5.00%
发文量
55
审稿时长
7.0 months
期刊介绍: All articles submitted to this journal are peer-reviewed. The AMS has a single blind peer-review process in which the reviewers know who the authors of the manuscript are, but the authors do not have access to the information on who the peer reviewers are. This journal is devoted to research articles of the highest quality in computational mathematics. Areas covered include numerical analysis, computational discrete mathematics, including number theory, algebra and combinatorics, and related fields such as stochastic numerical methods. Articles must be of significant computational interest and contain original and substantial mathematical analysis or development of computational methodology.
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