Spectral bounds for exit times on metric measure Dirichlet spaces and applications

Fuente: arXiv
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Autori principali: Mariano, Phanuel, Wang, Jing
Natura: Preprint
Pubblicazione: 2022
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author Mariano, Phanuel
Wang, Jing
author_facet Mariano, Phanuel
Wang, Jing
contents Assuming the heat kernel on a doubling Dirichlet metric measure space has a sub-Gaussian bound, we prove an asymptotically sharp spectral upper bound on the survival probability of the associated diffusion process. As a consequence, we can show that the supremum of the mean exit time over all starting points is finite if and only if the bottom of the spectrum is positive. Among several applications, we show that the spectral upper bound on the survival probability implies a bound for the Hot Spots constant for Riemannian manifolds. Our results apply to interesting geometric settings including sub-Riemannian manifolds and fractals.
format Preprint
id arxiv_https___arxiv_org_abs_2211_05894
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Spectral bounds for exit times on metric measure Dirichlet spaces and applications
Mariano, Phanuel
Wang, Jing
Probability
Analysis of PDEs
Spectral Theory
Assuming the heat kernel on a doubling Dirichlet metric measure space has a sub-Gaussian bound, we prove an asymptotically sharp spectral upper bound on the survival probability of the associated diffusion process. As a consequence, we can show that the supremum of the mean exit time over all starting points is finite if and only if the bottom of the spectrum is positive. Among several applications, we show that the spectral upper bound on the survival probability implies a bound for the Hot Spots constant for Riemannian manifolds. Our results apply to interesting geometric settings including sub-Riemannian manifolds and fractals.
title Spectral bounds for exit times on metric measure Dirichlet spaces and applications
topic Probability
Analysis of PDEs
Spectral Theory
url https://arxiv.org/abs/2211.05894