Convergence of random oscillatory integrals in the presence of long-range dependence and application to homogenization
Atef Lechiheb, Ivan Nourdin, Guangqu Zheng, Ezedine Haouala

TL;DR
This paper studies the asymptotic behavior of random oscillatory integrals with long-range dependence and applies these results to solve the corrector problem in one-dimensional stochastic homogenization, demonstrating convergence to Hermite process-based integrals.
Contribution
It introduces a novel analysis of oscillatory integrals with long-range dependence and applies it to establish convergence in stochastic homogenization of elliptic equations.
Findings
Convergence of oscillatory integrals to Hermite process-based stochastic integrals.
Solution to the corrector problem in one-dimensional random homogenization.
Extension of homogenization theory to coefficients with long-range dependence.
Abstract
This paper deals with the asymptotic behavior of random oscillatory integrals in the presence of long-range dependence. As a byproduct, we solve the corrector problem in random homogenization of one-dimensional elliptic equations with highly oscillatory random coefficients displaying long-range dependence, by proving convergence to stochastic integrals with respect to Hermite processes.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
