Expansion of the Critical Intensity for the Random Connection Model

Fuente: arXiv
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Main Authors: Dickson, Matthew, Heydenreich, Markus
Format: Preprint
Published: 2023
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_version_ 1866913718083780608
author Dickson, Matthew
Heydenreich, Markus
author_facet Dickson, Matthew
Heydenreich, Markus
contents We derive an asymptotic expansion for the critical percolation density of the random connection model as the dimension of the encapsulating space tends to infinity. We calculate rigorously the first expansion terms for the Gilbert disk model, the hyper-cubic model, the Gaussian connection kernel, and a coordinate-wise Cauchy kernel.
format Preprint
id arxiv_https___arxiv_org_abs_2309_08830
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Expansion of the Critical Intensity for the Random Connection Model
Dickson, Matthew
Heydenreich, Markus
Probability
60K35, 82B43, 60G55
We derive an asymptotic expansion for the critical percolation density of the random connection model as the dimension of the encapsulating space tends to infinity. We calculate rigorously the first expansion terms for the Gilbert disk model, the hyper-cubic model, the Gaussian connection kernel, and a coordinate-wise Cauchy kernel.
title Expansion of the Critical Intensity for the Random Connection Model
topic Probability
60K35, 82B43, 60G55
url https://arxiv.org/abs/2309.08830