Convergence of local times of stochastic processes associated with resistance forms

Fuente: arXiv
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Main Author: Noda, Ryoichiro
Format: Preprint
Published: 2023
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author Noda, Ryoichiro
author_facet Noda, Ryoichiro
contents In this paper, it is shown that if a sequence of resistance metric spaces equipped with measures converges with respect to the local Gromov-Hausdorff-vague topology, and certain non-explosion and metric-entropy conditions are satisfied, then the associated stochastic processes and their local times also converge. The metric-entropy condition can be checked by applying volume estimates of balls. Whilst similar results have been proved previously, the approach of this article is more widely applicable. Indeed, we recover various known conclusions for scaling limits of some deterministic self-similar fractal graphs, critical Galton-Watson trees, the critical Erdős-Rényi random graph and the configuration model (in the latter two cases, we prove for the first time the convergence of the models with respect to the resistance metric and also, for the configuration model, we overcome an error in the existing proof of local time convergence). Moreover, we derive new ones for scaling limits of uniform spanning trees and random recursive fractals. The metric-entropy condition also implies convergence of associated Gaussian processes.
format Preprint
id arxiv_https___arxiv_org_abs_2305_13224
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Convergence of local times of stochastic processes associated with resistance forms
Noda, Ryoichiro
Probability
60J55 (Primary) 60J25, 60G15, 60K37, 28A80 (Secondary)
In this paper, it is shown that if a sequence of resistance metric spaces equipped with measures converges with respect to the local Gromov-Hausdorff-vague topology, and certain non-explosion and metric-entropy conditions are satisfied, then the associated stochastic processes and their local times also converge. The metric-entropy condition can be checked by applying volume estimates of balls. Whilst similar results have been proved previously, the approach of this article is more widely applicable. Indeed, we recover various known conclusions for scaling limits of some deterministic self-similar fractal graphs, critical Galton-Watson trees, the critical Erdős-Rényi random graph and the configuration model (in the latter two cases, we prove for the first time the convergence of the models with respect to the resistance metric and also, for the configuration model, we overcome an error in the existing proof of local time convergence). Moreover, we derive new ones for scaling limits of uniform spanning trees and random recursive fractals. The metric-entropy condition also implies convergence of associated Gaussian processes.
title Convergence of local times of stochastic processes associated with resistance forms
topic Probability
60J55 (Primary) 60J25, 60G15, 60K37, 28A80 (Secondary)
url https://arxiv.org/abs/2305.13224