Large deviations for simple random walk on percolations with long-range correlations
Kazuki Okamura

TL;DR
This paper establishes large deviation principles for simple random walks on percolation models with long-range correlations, extending previous results to broader classes including the random-cluster model.
Contribution
It extends quenched large deviation results and shape theorems to percolation models with long-range correlations, beyond classical Bernoulli percolation.
Findings
Proved quenched large deviations for a class of correlated percolation models.
Extended shape theorem for chemical distance to models with long-range correlations.
Included models such as the random-cluster model up to the slab critical point.
Abstract
We show quenched large deviations for the simple random walk on a certain class of percolations with long-range correlations. This class contains the supercritical Bernoulli percolations, the model considered by Drewitz, R'ath and Sapozhnikov and the random-cluster model up to the slab critical point. Our result is an extension of Kubota's result for the supercritical Bernoulli percolations. We also state a shape theorem for the chemical distance, which is an extension of Garet and Marchand's result for the supercritical Bernoulli percolations.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Random Matrices and Applications · Bayesian Methods and Mixture Models
