Subdiffusive concentration for the chemical distance in Bernoulli percolation

Fuente: arXiv
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Auteurs principaux: Can, Van Hao, Nguyen, Van Quyet
Format: Preprint
Publié: 2024
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author Can, Van Hao
Nguyen, Van Quyet
author_facet Can, Van Hao
Nguyen, Van Quyet
contents Considering supercritical Bernoulli percolation on $\mathbb{Z}^d$, Garet and Marchand [GM09] proved a diffusive concentration for the graph distance. In this paper, we sharpen this result by establishing the subdiffusive concentration inequality, which revisits the sublinear bound of the variance proved by Dembin [Dem22] as a consequence. Our approach is inspired by similar work in First-passage percolation [BR08, DHS14], combined with new tools to address the challenge posed by the infinite weight of the model. These tools, including the notion of effective radius and its properties, enable a simple one-step renormalization process as a systematic means of managing the effects of resampling edges.
format Preprint
id arxiv_https___arxiv_org_abs_2406_14834
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Subdiffusive concentration for the chemical distance in Bernoulli percolation
Can, Van Hao
Nguyen, Van Quyet
Probability
Mathematical Physics
Primary 60K37, Secondary 60K35, 82D30, 82B43
Considering supercritical Bernoulli percolation on $\mathbb{Z}^d$, Garet and Marchand [GM09] proved a diffusive concentration for the graph distance. In this paper, we sharpen this result by establishing the subdiffusive concentration inequality, which revisits the sublinear bound of the variance proved by Dembin [Dem22] as a consequence. Our approach is inspired by similar work in First-passage percolation [BR08, DHS14], combined with new tools to address the challenge posed by the infinite weight of the model. These tools, including the notion of effective radius and its properties, enable a simple one-step renormalization process as a systematic means of managing the effects of resampling edges.
title Subdiffusive concentration for the chemical distance in Bernoulli percolation
topic Probability
Mathematical Physics
Primary 60K37, Secondary 60K35, 82D30, 82B43
url https://arxiv.org/abs/2406.14834