Cutoffs for exclusion processes on graphs with open boundaries
Probability
2020-12-24 v2 Statistical Mechanics
Abstract
We prove a general theorem on cutoffs for symmetric simple exclusion processes on graphs with open boundaries, under the natural assumption that the graphs converge geometrically and spectrally to a compact metric measure space with Dirichlet boundary condition. Our theorem is valid on a variety of settings including, but not limited to: the -dimensional grid for every integer dimension ; and self-similar fractal graphs and products thereof. Our method of proof is to identify a rescaled version of the density fluctuation field---the cutoff martingale---which allows us to prove the mixing time upper bound that matches the lower bound obtained via Wilson's method.
Keywords
Cite
@article{arxiv.2011.08718,
title = {Cutoffs for exclusion processes on graphs with open boundaries},
author = {Joe P. Chen and Milton Jara and Rodrigo Marinho},
journal= {arXiv preprint arXiv:2011.08718},
year = {2020}
}
Comments
There is a gap in the proof in Section 6 of the paper