Artificial Boundary Conditions for Random Elliptic Systems with Correlated Coefficient Field

Nicolas Clozeau, Lihan Wang
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Abstract

Multiscale Modeling &Simulation, Volume 22, Issue 3, Page 973-1029, September 2024.
Abstract. We are interested in numerical algorithms for computing the electrical field generated by a charge distribution localized on scale [math] in an infinite heterogeneous correlated random medium, in a situation where the medium is only known in a box of diameter [math] around the support of the charge. We show that the algorithm in [J. Lu, F. Otto, and L. Wang, Optimal Artificial Boundary Conditions Based on Second-Order Correctors for Three Dimensional Random Ellilptic Media, preprint, arXiv:2109.01616, 2021], suggesting optimal Dirichlet boundary conditions motivated by the multipole expansion [P. Bella, A. Giunti, and F. Otto, Comm. Partial Differential Equations, 45 (2020), pp. 561–640], still performs well in correlated media. With overwhelming probability, we obtain a convergence rate in terms of [math], [math], and the size of the correlations for which optimality is supported with numerical simulations. These estimates are provided for ensembles which satisfy a multiscale logarithmic Sobolev inequality, where our main tool is an extension of the semigroup estimates in [N. Clozeau, Stoch. Partial Differ. Equ. Anal. Comput., 11 (2023), pp. 1254–1378]. As part of our strategy, we construct sublinear second-order correctors in this correlated setting, which is of independent interest.
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具有相关系数场的随机椭圆系统的人工边界条件
多尺度建模与仿真》,第 22 卷第 3 期,第 973-1029 页,2024 年 9 月。 摘要我们对计算无限异质相关随机介质中电荷分布局部尺度[math]产生的电场的数值算法很感兴趣。我们证明了[J. Lu, F. Otto, and J. M.Lu, F. Otto, and L. Wang, Optimal Artificial Boundary Conditions Based on Second-Order Correctors for Three Dimensional Random Ellilptic Media, preprint, arXiv:2109.01616, 2021]中的算法,提出了以多极扩展为动机的最优 Dirichlet 边界条件[P. Bella, A. Giunti, and L. Wang.Bella, A. Giunti, and F. Otto, Comm.Partial Differential Equations, 45 (2020), pp.我们以压倒性的概率获得了[math]、[math]和相关性大小的收敛速率,数值模拟支持了这些收敛速率的最优性。这些估计值是为满足多尺度对数索博列夫不等式的集合提供的,我们的主要工具是[N. Clozeau, Stoch.Clozeau, Stoch.Partial Differ.Equ.Anal.Comput., 11 (2023), pp.]作为我们策略的一部分,我们在这种相关设置中构建了亚线性二阶修正器,这也是我们的兴趣所在。
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