Lower gradient estimates for viscosity solutions to first-order Hamilton--Jacobi equations depending on the unknown function

Fuente: arXiv
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Autore principale: Hirose, Kazuya
Natura: Preprint
Pubblicazione: 2024
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author Hirose, Kazuya
author_facet Hirose, Kazuya
contents In this paper, we derive the lower bounds for the gradients of viscosity solutions to the Hamilton--Jacobi equation, where the convex Hamiltonian depends on the unknown function. We obtain gradient estimates using two different methods. First, we utilize the equivalence between viscosity solutions and Barron--Jensen solutions to study the properties of the inf-convolution. Second, we examine the Lie equation to understand how initial gradients propagate along its solutions.
format Preprint
id arxiv_https___arxiv_org_abs_2407_04288
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Lower gradient estimates for viscosity solutions to first-order Hamilton--Jacobi equations depending on the unknown function
Hirose, Kazuya
Analysis of PDEs
In this paper, we derive the lower bounds for the gradients of viscosity solutions to the Hamilton--Jacobi equation, where the convex Hamiltonian depends on the unknown function. We obtain gradient estimates using two different methods. First, we utilize the equivalence between viscosity solutions and Barron--Jensen solutions to study the properties of the inf-convolution. Second, we examine the Lie equation to understand how initial gradients propagate along its solutions.
title Lower gradient estimates for viscosity solutions to first-order Hamilton--Jacobi equations depending on the unknown function
topic Analysis of PDEs
url https://arxiv.org/abs/2407.04288