<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
         xmlns:dc="http://purl.org/dc/terms/"
         xmlns:foaf="http://xmlns.com/foaf/0.1/"
         xmlns:bibo="http://purl.org/ontology/bibo/"
         xmlns:fabio="http://purl.org/spar/fabio/"
         xmlns:owl="http://www.w3.org/2002/07/owl#"
         xmlns:event="http://purl.org/NET/c4dm/event.owl#"
         xmlns:ore="http://www.openarchives.org/ore/terms/">

    <rdf:Description rdf:about="https://research-explorer.ista.ac.at/record/17462">
        <ore:isDescribedBy rdf:resource="https://research-explorer.ista.ac.at/record/17462"/>
        <dc:title>Artificial boundary conditions for random elliptic systems with correlated coefficient field</dc:title>
        <bibo:authorList rdf:parseType="Collection">
            <foaf:Person>
                <foaf:name></foaf:name>
                <foaf:surname></foaf:surname>
                <foaf:givenname></foaf:givenname>
            </foaf:Person>
            <foaf:Person>
                <foaf:name></foaf:name>
                <foaf:surname></foaf:surname>
                <foaf:givenname></foaf:givenname>
            </foaf:Person>
        </bibo:authorList>
        <bibo:abstract>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 &gt;&gt;l 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 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 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.</bibo:abstract>
        <bibo:volume>22</bibo:volume>
        <bibo:issue>3</bibo:issue>
        <bibo:startPage>973-1029</bibo:startPage>
        <bibo:endPage>973-1029</bibo:endPage>
        <dc:publisher>Society for Industrial and Applied Mathematics</dc:publisher>
        <bibo:doi rdf:resource="10.1137/23M1603819" />
        <ore:similarTo rdf:resource="info:doi/10.1137/23M1603819"/>
    </rdf:Description>
</rdf:RDF>
