August 2022 An efficient algorithm for solving elliptic problems on percolation clusters
Chenlin Gu
Author Affiliations +
Ann. Appl. Probab. 32(4): 2755-2810 (August 2022). DOI: 10.1214/21-AAP1748

Abstract

We present an efficient algorithm to solve elliptic Dirichlet problems defined on the cluster of supercritical Zd-Bernoulli percolation, as a generalization of the iterative method proposed by S. Armstrong, A. Hannukainen, T. Kuusi and J.-C. Mourrat (ESAIM Math. Model. Numer. Anal. (2021) 55 37–55). We also explore the two-scale expansion on the infinite cluster of percolation, and use it to give a rigorous analysis of the algorithm.

Acknowledgments

The author would like to thank Jean–Christophe Mourrat for his suggestion to study this topic and helpful discussions, and Paul Dario for inspiring discussions. The author is supported by the PhD scholarship from Ecole Polytechnique.

Citation

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Chenlin Gu. "An efficient algorithm for solving elliptic problems on percolation clusters." Ann. Appl. Probab. 32 (4) 2755 - 2810, August 2022. https://doi.org/10.1214/21-AAP1748

Information

Received: 1 August 2019; Revised: 1 August 2020; Published: August 2022
First available in Project Euclid: 17 August 2022

MathSciNet: MR4474519
zbMATH: 07598989
Digital Object Identifier: 10.1214/21-AAP1748

Subjects:
Primary: 35B27 , 60K35 , 60K37 , 65N15 , 82B43

Keywords: numerical algorithm , percolation , Stochastic homogenization

Rights: Copyright © 2022 Institute of Mathematical Statistics

Vol.32 • No. 4 • August 2022
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