Artificial boundary conditions for random ellitpic systems with correlated coefficient field

Fuente: arXiv
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Autori principali: Clozeau, Nicolas, Wang, Lihan
Natura: Preprint
Pubblicazione: 2023
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author Clozeau, Nicolas
Wang, Lihan
author_facet Clozeau, Nicolas
Wang, Lihan
contents We are interested in numerical algorithms for computing the electrical field generated by a charge distribution localized on scale $l$ in an infinite heterogeneous correlated random medium, in a situation where the medium is only known in a box of diameter $L\gg l$ around the support of the charge. We show that the algorithm of Lu, Otto and Wang, suggesting optimal Dirichlet boundary conditions motivated by the multipole expansion of Bella, Giunti and Otto, still performs well in correlated media. With overwhelming probability, we obtain a convergence rate in terms of $l$, $L$ and the size of the correlations for which optimality is supported with numerical simulations. These estimates are provided for ensembles which satisfy a multi-scale logarithmic Sobolev inequality, where our main tool is an extension of the semi-group estimates established by the first author. As part of our strategy, we construct sub-linear second-order correctors in this correlated setting which is of independent interest.
format Preprint
id arxiv_https___arxiv_org_abs_2309_06798
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Artificial boundary conditions for random ellitpic systems with correlated coefficient field
Clozeau, Nicolas
Wang, Lihan
Analysis of PDEs
Numerical Analysis
Probability
35B27, 35R60
We are interested in numerical algorithms for computing the electrical field generated by a charge distribution localized on scale $l$ in an infinite heterogeneous correlated random medium, in a situation where the medium is only known in a box of diameter $L\gg l$ around the support of the charge. We show that the algorithm of Lu, Otto and Wang, suggesting optimal Dirichlet boundary conditions motivated by the multipole expansion of Bella, Giunti and Otto, still performs well in correlated media. With overwhelming probability, we obtain a convergence rate in terms of $l$, $L$ and the size of the correlations for which optimality is supported with numerical simulations. These estimates are provided for ensembles which satisfy a multi-scale logarithmic Sobolev inequality, where our main tool is an extension of the semi-group estimates established by the first author. As part of our strategy, we construct sub-linear second-order correctors in this correlated setting which is of independent interest.
title Artificial boundary conditions for random ellitpic systems with correlated coefficient field
topic Analysis of PDEs
Numerical Analysis
Probability
35B27, 35R60
url https://arxiv.org/abs/2309.06798