Limiting distribution of elliptic homogenization error with periodic diffusion and random potential

TL;DR

This paper investigates the probability distribution of the homogenization error in elliptic equations with oscillatory periodic and stochastic potentials, showing Gaussian limits under short and long-range correlations.

Contribution

It extends previous homogenization error analysis to cases with fast oscillations and random potentials, providing new methods for compactness in probability distributions.

Findings

Homogenization error's distribution converges to Gaussian in short-range correlation setting.

Results apply to both short-range and long-range correlated Gaussian random potentials.

New techniques developed for proving compactness of the distribution of random fluctuations.

Abstract

We study the limiting probability distribution of the homogenization error for second order elliptic equations in divergence form with highly oscillatory periodic conductivity coefficients and highly oscillatory stochastic potential. The effective conductivity coefficients are the same as those of the standard periodic homogenization, and the effective potential is given by the mean. We show that in the short range correlation setting, the limiting distribution of the random part of the homogenization error, as random elements in proper Hilbert spaces, is Gaussian and can be characterized by the homogenized Green's function, the homogenized solution and the statistics of the random potential. Similar results hold for random potentials that are functions of long range correlated Gaussian random fields. These results generalize previous ones in the setting with slowly varying diffusion coefficients, and the current setting with fast oscillations in the differential operator requires new methods to prove compactness of the probability distributions of the random fluctuation.