Regularity of random elliptic operators with degenerate coefficients and applications to stochastic homogenization

IF 1.4 3区 数学 Q2 MATHEMATICS, APPLIED Stochastics and Partial Differential Equations-Analysis and Computations Pub Date : 2024-02-27 DOI:10.1007/s40072-023-00322-9
Peter Bella, Michael Kniely
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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.

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具有退化系数的随机椭圆算子的正则性及其在随机均质化中的应用
我们考虑了具有对称随机系数场 a 的发散形式二阶退化椭圆方程。(Ann Appl Probab 28(3):1379-1422, 2018)的工作,他们在退化情况下建立了谐函数的大规模 \(C^{1,\α }\) 正则性,我们为最小半径 \(r_*\) 提供了拉伸指数矩,描述了这种 \(C^{1,\α }\) 正则性的最小尺度。作为随机均质化的一个应用,我们将 Gloria 等人(Anal PDE 14(8):2497-2537, 2021)关于校正器增长、梯度衰减以及定量双尺度扩展的结果部分地推广到退化设置中。在技术层面上,我们要求系数场的集合是静止的,并服从谱间隙不等式,我们对 a 和 \(a^{-1}\)施加了矩约束。我们还引入了椭圆半径(r_e/),它表示这些矩接近其正期望值的最小尺度。
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来源期刊
CiteScore
2.70
自引率
13.30%
发文量
54
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.
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