Gradient and Transport Estimates for Heat Flow on Nonconvex Domains

Fuente: arXiv
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Autore principale: Sturm, Karl-Theodor
Natura: Preprint
Pubblicazione: 2025
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author Sturm, Karl-Theodor
author_facet Sturm, Karl-Theodor
contents For the Neumann heat flow on nonconvex Riemannian domains $D\subset M$, we provide sharp gradient estimates and transport estimates with a novel $\sqrt t$-dependence, for instance, $$\text{Lip}( P^D_tf)\le e^{2S \, \sqrt{t/π}+\mathcal{O}(t)}\cdot \text{Lip} (f),$$ and we provide an equivalent characterization of the lower bound $S$ on the second fundamental form of the boundary in terms of these quantitative estimates.
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id arxiv_https___arxiv_org_abs_2502_01915
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Gradient and Transport Estimates for Heat Flow on Nonconvex Domains
Sturm, Karl-Theodor
Analysis of PDEs
Differential Geometry
Functional Analysis
Probability
For the Neumann heat flow on nonconvex Riemannian domains $D\subset M$, we provide sharp gradient estimates and transport estimates with a novel $\sqrt t$-dependence, for instance, $$\text{Lip}( P^D_tf)\le e^{2S \, \sqrt{t/π}+\mathcal{O}(t)}\cdot \text{Lip} (f),$$ and we provide an equivalent characterization of the lower bound $S$ on the second fundamental form of the boundary in terms of these quantitative estimates.
title Gradient and Transport Estimates for Heat Flow on Nonconvex Domains
topic Analysis of PDEs
Differential Geometry
Functional Analysis
Probability
url https://arxiv.org/abs/2502.01915