Decay of connection probability in high-dimensional continuum percolation

Fuente: arXiv
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Main Authors: Dickson, Matthew, Liu, Yucheng
Format: Preprint
Published: 2025
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_version_ 1866916054320545792
author Dickson, Matthew
Liu, Yucheng
author_facet Dickson, Matthew
Liu, Yucheng
contents We study a percolation model on $\mathbb R^d$ called the random connection model. For $d$ large, we use the lace expansion to prove that the critical two-point connection probability decays like $|x|^{-(d-2)}$ as $|x| \to \infty$, with possible anisotropic decay. Our proof also applies to nearest-neighbour Bernoulli percolation on $\mathbb Z^d$ in $d \ge 11$ and simplifies considerably the proof given by Hara in 2008. The method is based on the recent deconvolution strategy of Liu and Slade and uses an $L^p$ version of Hara's induction argument.
format Preprint
id arxiv_https___arxiv_org_abs_2507_19288
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Decay of connection probability in high-dimensional continuum percolation
Dickson, Matthew
Liu, Yucheng
Probability
Mathematical Physics
60K35, 82B21, 82B27, 82B43
We study a percolation model on $\mathbb R^d$ called the random connection model. For $d$ large, we use the lace expansion to prove that the critical two-point connection probability decays like $|x|^{-(d-2)}$ as $|x| \to \infty$, with possible anisotropic decay. Our proof also applies to nearest-neighbour Bernoulli percolation on $\mathbb Z^d$ in $d \ge 11$ and simplifies considerably the proof given by Hara in 2008. The method is based on the recent deconvolution strategy of Liu and Slade and uses an $L^p$ version of Hara's induction argument.
title Decay of connection probability in high-dimensional continuum percolation
topic Probability
Mathematical Physics
60K35, 82B21, 82B27, 82B43
url https://arxiv.org/abs/2507.19288