导电介质中稳定麦克斯韦方程的能量规范误差估计和收敛分析

IF 0.6 4区 数学 Q4 MATHEMATICS, APPLIED Applications of Mathematics Pub Date : 2024-05-27 DOI:10.21136/AM.2024.0248-23
Eric Lindström, Larisa Beilina
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引用次数: 0

摘要

本文旨在研究导电介质中电场的时变麦克斯韦方程组在连续和离散环境下的拟合优度和解的稳定性,并研究采用的数值方案的收敛性分析。我们所考虑的情况代表一个物理问题,即在均质介质中出现一个子域,其特征是介电常数和电导函数恒定。众所周知,在这些均质区域中,麦克斯韦方程组的解同时也是波方程组的解,这使得计算非常高效。因此,我们的问题可视为一个耦合问题,并由此得出稳定性和收敛性分析。大量数值实例验证了所提出的稳定显式有限元方案的理论收敛率。
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Energy norm error estimates and convergence analysis for a stabilized Maxwell’s equations in conductive media

The aim of this article is to investigate the well-posedness, stability of solutions to the time-dependent Maxwell’s equations for electric field in conductive media in continuous and discrete settings, and study convergence analysis of the employed numerical scheme. The situation we consider would represent a physical problem where a subdomain is emerged in a homogeneous medium, characterized by constant dielectric permittivity and conductivity functions. It is well known that in these homogeneous regions the solution to the Maxwell’s equations also solves the wave equation, which makes computations very efficient. In this way our problem can be considered as a coupling problem, for which we derive stability and convergence analysis. A number of numerical examples validate theoretical convergence rates of the proposed stabilized explicit finite element scheme.

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来源期刊
Applications of Mathematics
Applications of Mathematics 数学-应用数学
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
3.0 months
期刊介绍: Applications of Mathematics publishes original high quality research papers that are directed towards applications of mathematical methods in various branches of science and engineering. The main topics covered include: - Mechanics of Solids; - Fluid Mechanics; - Electrical Engineering; - Solutions of Differential and Integral Equations; - Mathematical Physics; - Optimization; - Probability Mathematical Statistics. The journal is of interest to a wide audience of mathematicians, scientists and engineers concerned with the development of scientific computing, mathematical statistics and applicable mathematics in general.
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