Policy iteration for nonconvex viscous Hamilton--Jacobi equations

Fuente: arXiv
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Auteurs principaux: Guo, Xiaoqin, Tran, Hung Vinh, Zhang, Yuming Paul
Format: Preprint
Publié: 2025
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author Guo, Xiaoqin
Tran, Hung Vinh
Zhang, Yuming Paul
author_facet Guo, Xiaoqin
Tran, Hung Vinh
Zhang, Yuming Paul
contents We study the convergence rates of policy iteration (PI) for nonconvex viscous Hamilton--Jacobi equations using a discrete space-time scheme, where both space and time variables are discretized. We analyze the case with an uncontrolled diffusion term, which corresponds to a possibly degenerate viscous Hamilton--Jacobi equation. We first obtain an exponential convergent result of PI for the discrete space-time schemes. We then investigate the discretization error.
format Preprint
id arxiv_https___arxiv_org_abs_2503_02159
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Policy iteration for nonconvex viscous Hamilton--Jacobi equations
Guo, Xiaoqin
Tran, Hung Vinh
Zhang, Yuming Paul
Numerical Analysis
Analysis of PDEs
Optimization and Control
We study the convergence rates of policy iteration (PI) for nonconvex viscous Hamilton--Jacobi equations using a discrete space-time scheme, where both space and time variables are discretized. We analyze the case with an uncontrolled diffusion term, which corresponds to a possibly degenerate viscous Hamilton--Jacobi equation. We first obtain an exponential convergent result of PI for the discrete space-time schemes. We then investigate the discretization error.
title Policy iteration for nonconvex viscous Hamilton--Jacobi equations
topic Numerical Analysis
Analysis of PDEs
Optimization and Control
url https://arxiv.org/abs/2503.02159