Homogenization of Nondivergence-Form Elliptic Equations with Discontinuous Coefficients and Finite Element Approximation of the Homogenized Problem

IF 2.8 2区 数学 Q1 MATHEMATICS, APPLIED SIAM Journal on Numerical Analysis Pub Date : 2024-03-01 DOI:10.1137/23m1580279
Timo Sprekeler
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Abstract

SIAM Journal on Numerical Analysis, Volume 62, Issue 2, Page 646-666, April 2024.
Abstract. We study the homogenization of the equation [math] posed in a bounded convex domain [math] subject to a Dirichlet boundary condition and the numerical approximation of the corresponding homogenized problem, where the measurable, uniformly elliptic, periodic, and symmetric diffusion matrix [math] is merely assumed to be essentially bounded and (if [math]) to satisfy the Cordes condition. In the first part, we show existence and uniqueness of an invariant measure by reducing to a Lax–Milgram-type problem, we obtain [math]-bounds for periodic problems in double-divergence-form, we prove homogenization under minimal regularity assumptions, and we generalize known corrector bounds and results on optimal convergence rates from the classical case of Hölder continuous coefficients to the present case. In the second part, we suggest and rigorously analyze an approximation scheme for the effective coefficient matrix and the solution to the homogenized problem based on a finite element method for the approximation of the invariant measure, and we demonstrate the performance of the scheme through numerical experiments.
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具有不连续系数的非发散形式椭圆方程的均质化和均质化问题的有限元逼近
SIAM 数值分析期刊》第 62 卷第 2 期第 646-666 页,2024 年 4 月。 摘要。我们研究了在有界凸域[math]中提出的受 Dirichlet 边界条件限制的方程[math]的同质化以及相应同质化问题的数值逼近,其中可测的、均匀椭圆的、周期性的和对称的扩散矩阵[math]仅仅被假定为本质上有界的和(如果[math])满足 Cordes 条件。在第一部分中,我们通过还原为拉克斯-米尔格拉姆(Lax-Milgram)类型的问题,证明了不变度量的存在性和唯一性;我们获得了双发散形式周期性问题的[math]边界;我们证明了最小正则性假设下的同质化;我们将已知的校正器边界和最优收敛率结果从赫尔德连续系数的经典情形推广到当前情形。在第二部分中,我们提出并严格分析了基于有限元法的有效系数矩阵和同质化问题解的近似方案,并通过数值实验证明了该方案的性能。
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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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