{"title":"Regularity of random elliptic operators with degenerate coefficients and applications to stochastic homogenization","authors":"Peter Bella, Michael Kniely","doi":"10.1007/s40072-023-00322-9","DOIUrl":null,"url":null,"abstract":"<p>We consider degenerate elliptic equations of second order in divergence form with a symmetric random coefficient field <i>a</i>. Extending the work of Bella et al. (Ann Appl Probab 28(3):1379–1422, 2018), who established the large-scale <span>\\(C^{1,\\alpha }\\)</span> regularity of <i>a</i>-harmonic functions in a degenerate situation, we provide stretched exponential moments for the minimal radius <span>\\(r_*\\)</span> describing the minimal scale for this <span>\\(C^{1,\\alpha }\\)</span> regularity. As an application to stochastic homogenization, we partially generalize results by Gloria et al. (Anal PDE 14(8):2497–2537, 2021) on the growth of the corrector, the decay of its gradient, and a quantitative two-scale expansion to the degenerate setting. On a technical level, we demand the ensemble of coefficient fields to be stationary and subject to a spectral gap inequality, and we impose moment bounds on <i>a</i> and <span>\\(a^{-1}\\)</span>. We also introduce the ellipticity radius <span>\\(r_e\\)</span> which encodes the minimal scale where these moments are close to their positive expectation value.\n</p>","PeriodicalId":48569,"journal":{"name":"Stochastics and Partial Differential Equations-Analysis and Computations","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stochastics and Partial Differential Equations-Analysis and Computations","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s40072-023-00322-9","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
We consider degenerate elliptic equations of second order in divergence form with a symmetric random coefficient field a. Extending the work of Bella et al. (Ann Appl Probab 28(3):1379–1422, 2018), who established the large-scale \(C^{1,\alpha }\) regularity of a-harmonic functions in a degenerate situation, we provide stretched exponential moments for the minimal radius \(r_*\) describing the minimal scale for this \(C^{1,\alpha }\) regularity. As an application to stochastic homogenization, we partially generalize results by Gloria et al. (Anal PDE 14(8):2497–2537, 2021) on the growth of the corrector, the decay of its gradient, and a quantitative two-scale expansion to the degenerate setting. On a technical level, we demand the ensemble of coefficient fields to be stationary and subject to a spectral gap inequality, and we impose moment bounds on a and \(a^{-1}\). We also introduce the ellipticity radius \(r_e\) which encodes the minimal scale where these moments are close to their positive expectation value.
期刊介绍:
Stochastics and Partial Differential Equations: Analysis and Computations publishes the highest quality articles presenting significantly new and important developments in the SPDE theory and applications. SPDE is an active interdisciplinary area at the crossroads of stochastic anaylsis, partial differential equations and scientific computing. Statistical physics, fluid dynamics, financial modeling, nonlinear filtering, super-processes, continuum physics and, recently, uncertainty quantification are important contributors to and major users of the theory and practice of SPDEs. The journal is promoting synergetic activities between the SPDE theory, applications, and related large scale computations. The journal also welcomes high quality articles in fields strongly connected to SPDE such as stochastic differential equations in infinite-dimensional state spaces or probabilistic approaches to solving deterministic PDEs.