Normal approximation of subgraph counts in the random-connection model

Fuente: arXiv
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Autores principales: Liu, Qingwei, Privault, Nicolas
Formato: Preprint
Publicado: 2023
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author Liu, Qingwei
Privault, Nicolas
author_facet Liu, Qingwei
Privault, Nicolas
contents This paper derives normal approximation results for subgraph counts written as multiparameter stochastic integrals in a random-connection model based on a Poisson point process. By combinatorial arguments we express the cumulants of general subgraph counts using sums over connected partition diagrams, after cancellation of terms obtained by Möbius inversion. Using the Statulevičius condition, we deduce convergence rates in the Kolmogorov distance by studying the growth of subgraph count cumulants as the intensity of the underlying Poisson point process tends to infinity. Our analysis covers general subgraphs in the dilute and full random graph regimes, and tree-like subgraphs in the sparse random graph regime.
format Preprint
id arxiv_https___arxiv_org_abs_2301_12145
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Normal approximation of subgraph counts in the random-connection model
Liu, Qingwei
Privault, Nicolas
Probability
60F05, 60D05, 05C80, 60G55
This paper derives normal approximation results for subgraph counts written as multiparameter stochastic integrals in a random-connection model based on a Poisson point process. By combinatorial arguments we express the cumulants of general subgraph counts using sums over connected partition diagrams, after cancellation of terms obtained by Möbius inversion. Using the Statulevičius condition, we deduce convergence rates in the Kolmogorov distance by studying the growth of subgraph count cumulants as the intensity of the underlying Poisson point process tends to infinity. Our analysis covers general subgraphs in the dilute and full random graph regimes, and tree-like subgraphs in the sparse random graph regime.
title Normal approximation of subgraph counts in the random-connection model
topic Probability
60F05, 60D05, 05C80, 60G55
url https://arxiv.org/abs/2301.12145