{ "id": "2201.12013", "version": "v1", "published": "2022-01-28T09:48:50.000Z", "updated": "2022-01-28T09:48:50.000Z", "title": "Stochastic homogenization of Gaussian fields on random media", "authors": [ "Leandro Chiarini", "Wioletta M. Ruszel" ], "comment": "19 pages, 4 figures", "categories": [ "math.PR", "math.AP" ], "abstract": "In this article, we study stochastic homogenization of non-homogeneous Gaussian free fields $\\Xi^{g,{\\bf a}}_D $ and bi-Laplacian fields $\\Xi^{b,{\\bf a}}_D$. They can be characterized as follows: for $f=\\delta$ the solution $u$ of $\\nabla \\cdot \\mathbf{a} \\nabla u =f$, ${\\bf a}$ is a uniformly elliptic random environment, is the covariance of $\\Xi^{g,{\\bf a}}_D$. When $f$ is the white noise, the field $\\Xi^{b,{\\bf a}}_D$ can be viewed as the distributional solution of the same elliptic equation. Furthermore, we consider fields on domains $D\\subset \\mathbb{R}^d$ such that the boundary is smooth enough and on the discrete torus. Based on stochastic homogenization techniques applied to the eigenfunction basis of the Laplace operator $\\Delta$ in a smooth domain $D$, we will show that such families of fields converge to an appropriate multiple of the GFF resp. bi-Laplacian. The limiting fields are determined by their respective homogenized operator $\\overline{{\\bf a}}\\Delta$, where $\\overline{{\\bf a}}$ is a deterministic constant depending on the law of ${\\bf a}$. The proofs are based on the techniques introduced by \\cite{Armstrong2019} and \\cite{gloria2014optimal}.", "revisions": [ { "version": "v1", "updated": "2022-01-28T09:48:50.000Z" } ], "analyses": { "subjects": [ "60K37", "60G15", "60G60", "35B27", "60J60", "60G20" ], "keywords": [ "gaussian fields", "random media", "uniformly elliptic random environment", "stochastic homogenization techniques", "non-homogeneous gaussian free fields" ], "note": { "typesetting": "TeX", "pages": 19, "language": "en", "license": "arXiv", "status": "editable" } } }