Quantitative Homogenization for Combustion in Random Media
Yuming Paul Zhang, Andrej Zlatos

TL;DR
This paper establishes the first quantitative stochastic homogenization results for reaction-diffusion equations with ignition reactions in low dimensions, demonstrating algebraic convergence rates to homogenized limits characterized by Hamilton-Jacobi equations.
Contribution
It provides the first quantitative homogenization results for reaction-diffusion equations with ignition reactions in dimensions up to three, including convergence rates.
Findings
Algebraic rate of convergence to homogenized solutions.
Homogenized limits are viscosity solutions of Hamilton-Jacobi equations.
Results apply to reactions with finite dependence ranges or close to such reactions.
Abstract
We obtain the first quantitative stochastic homogenization result for reaction-diffusion equations, for ignition reactions in dimensions that either have finite ranges of dependence or are close enough to such reactions, and for solutions with initial data that approximate characteristic functions of general convex sets. We show algebraic rate of convergence of these solutions to their homogenized limits, which are (discontinuous) viscosity solutions of certain related Hamilton-Jacobi equations.
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 · Stochastic processes and statistical mechanics
