2016
DOI: 10.1007/s00222-016-0702-4
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The additive structure of elliptic homogenization

Abstract: Abstract. One of the principal difficulties in stochastic homogenization is transferring quantitative ergodic information from the coefficients to the solutions, since the latter are nonlocal functions of the former. In this paper, we address this problem in a new way, in the context of linear elliptic equations in divergence form, by showing that certain quantities associated to the energy density of solutions are essentially additive. As a result, we are able to prove quantitative estimates on the weak conve… Show more

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Cited by 110 publications
(185 citation statements)
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“…We conclude by showing first in Section 6, by a deterministic argument resembling a numerical analysis exercise, that the convergence of the subadditive quantities implies control of the error in homogenization for the Dirichlet problem. This concludes the proof of our first main result and gives us the harmonic approximation we need to run the arguments of [4,6,7,19] to obtain the quantitative C k;1 regularity theory and, in particular, the Liouville results. The latter is summarized in Section 7.…”
Section: Motivation and Informal Summary Of Resultssupporting
confidence: 66%
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“…We conclude by showing first in Section 6, by a deterministic argument resembling a numerical analysis exercise, that the convergence of the subadditive quantities implies control of the error in homogenization for the Dirichlet problem. This concludes the proof of our first main result and gives us the harmonic approximation we need to run the arguments of [4,6,7,19] to obtain the quantitative C k;1 regularity theory and, in particular, the Liouville results. The latter is summarized in Section 7.…”
Section: Motivation and Informal Summary Of Resultssupporting
confidence: 66%
“…Following [4,5], we next show that Theorem 1.1 and Lemma 7.2 imply a form of higher regularity for coarsenings of a-harmonic functions on mesoscopic scales. The following lemma can be compared to [ PROOF.…”
Section: Regularity Theorymentioning
confidence: 86%
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