Homogenization of random parabolic operators. Diffusion approximation
Marina Kleptsyna (LMM), Andrey Piatnitski, Alexandre Popier (LMM)

TL;DR
This paper investigates the homogenization of random parabolic operators with periodic spatial and stationary temporal coefficients, analyzing the asymptotic behavior of solution differences under self-similar diffusion scaling.
Contribution
It provides new insights into the limit behavior of solutions to homogenized parabolic operators with mixed periodic and random coefficients under specific scaling regimes.
Findings
Asymptotic behavior depends on spatial-temporal scaling ratio
Results apply to self-similar parabolic diffusion scaling
Provides conditions under which homogenization limits are characterized
Abstract
The paper deals with homogenization of divergence form second order parabolic operators whose coefficients are periodic in spatial variables and random stationary in time. Under proper mixing assumptions, we study the limit behaviour of the normalized difference between solutions of the original and the homogenized problems. The asymptotic behaviour of this difference depends crucially on the ratio between spatial and temporal scaling factors. Here we study the case of self-similar parabolic diffusion scaling.
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.
Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Advanced Numerical Methods in Computational Mathematics · Nonlinear Partial Differential Equations
