Heat kernel fluctuations and quantitative homogenization for the one-dimensional Bouchaud trap model
Abstract
We present on-diagonal heat kernel estimates and quantitative homogenization statements for the one-dimensional Bouchaud trap model. The heat kernel estimates are obtained using standard techniques, with key inputs coming from a careful analysis of the volume growth of the invariant measure of the process under study. As for the quantitative homogenization results, these include both quenched and annealed Berry-Esseen-type theorems, as well as a quantitative quenched local limit theorem. Whilst the model we study here is a particularly simple example of a random walk in a random environment, we believe the roadmap we provide for establishing the latter result in particular will be useful for deriving quantitative local limit theorems in other, more challenging, settings.
Keywords
Cite
@article{arxiv.2310.11115,
title = {Heat kernel fluctuations and quantitative homogenization for the one-dimensional Bouchaud trap model},
author = {Sebastian Andres and David A. Croydon and Takashi Kumagai},
journal= {arXiv preprint arXiv:2310.11115},
year = {2024}
}
Comments
33 pages, accepted version, to appear in Stochastic Process. Appl