Central limit theorem for crossings in randomly embedded graphs

Fuente: arXiv
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Main Authors: Arenas-Velilla, Santiago, Arizmendi, Octavio, Paguyo, J. E.
Format: Preprint
Published: 2023
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author Arenas-Velilla, Santiago
Arizmendi, Octavio
Paguyo, J. E.
author_facet Arenas-Velilla, Santiago
Arizmendi, Octavio
Paguyo, J. E.
contents We consider the number of crossings in a random embedding of a graph, $G$, with vertices in convex position. We give explicit formulas for the mean and variance of the number of crossings as a function of various subgraph counts of $G$. Using Stein's method and size-bias coupling, we establish an upper bound on the Kolmogorov distance between the distribution of the number of crossings and a standard normal random variable. We also consider the case where $G$ is a random graph and obtain a Kolmogorov bound between the distribution of crossings and a Gaussian mixture distribution. As applications, we obtain central limit theorems with convergence rates for the number of crossings in random embeddings of matchings, path graphs, cycle graphs, disjoint union of triangles, random $d$-regular graphs, and mixtures of random graphs.
format Preprint
id arxiv_https___arxiv_org_abs_2308_11570
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Central limit theorem for crossings in randomly embedded graphs
Arenas-Velilla, Santiago
Arizmendi, Octavio
Paguyo, J. E.
Probability
Combinatorics
60C05, 60F05
We consider the number of crossings in a random embedding of a graph, $G$, with vertices in convex position. We give explicit formulas for the mean and variance of the number of crossings as a function of various subgraph counts of $G$. Using Stein's method and size-bias coupling, we establish an upper bound on the Kolmogorov distance between the distribution of the number of crossings and a standard normal random variable. We also consider the case where $G$ is a random graph and obtain a Kolmogorov bound between the distribution of crossings and a Gaussian mixture distribution. As applications, we obtain central limit theorems with convergence rates for the number of crossings in random embeddings of matchings, path graphs, cycle graphs, disjoint union of triangles, random $d$-regular graphs, and mixtures of random graphs.
title Central limit theorem for crossings in randomly embedded graphs
topic Probability
Combinatorics
60C05, 60F05
url https://arxiv.org/abs/2308.11570