Optimal convergence rate for periodic homogenization of convex Hamilton-Jacobi equations
Analysis of PDEs
2022-07-01 v2 Optimization and Control
Abstract
In this paper, we show that the rate of convergence in periodic homogenization of convex Hamilton-Jacobi equations is always , which is optimal. This is a natural extension of a result concerning stable norms in metric geometry [4] that is essentially equivalent to the homogenization of convex static Hamilton-Jacobi equations. Another extremely interesting question in this direction is whether the rate holds in the nonconvex setting. We present a special nonconvex example with convergence rate, which relies on identifying the shape of the effective Hamiltonian and game theory interpretation formulas.
Keywords
Cite
@article{arxiv.2112.06896,
title = {Optimal convergence rate for periodic homogenization of convex Hamilton-Jacobi equations},
author = {Hung V. Tran and Yifeng Yu},
journal= {arXiv preprint arXiv:2112.06896},
year = {2022}
}
Comments
second version with 14 pages; updated expositions and references; a nonconvex result (Theorem 1.2) was added