On the size of temporal cliques in subcritical random temporal graphs

Fuente: arXiv
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Autores principales: Atamanchuk, Caelan, Devroye, Luc, Lugosi, Gabor
Formato: Preprint
Publicado: 2024
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author Atamanchuk, Caelan
Devroye, Luc
Lugosi, Gabor
author_facet Atamanchuk, Caelan
Devroye, Luc
Lugosi, Gabor
contents A \emph{random temporal graph} is an Erdős-Rényi random graph $G(n,p)$, together with a random ordering of its edges. A path in the graph is called \emph{increasing} if the edges on the path appear in increasing order. A set $S$ of vertices forms a \emph{temporal clique} if for all $u,v \in S$, there is an increasing path from $u$ to $v$. \cite{Becker2023} proved that if $p=c\log n/n$ for $c>1$, then, with high probability, there is a temporal clique of size $n-o(n)$. On the other hand, for $c<1$, with high probability, the largest temporal clique is of size $o(n)$. In this note we improve the latter bound by showing that, for $c<1$, the largest temporal clique is of \emph{constant} size with high probability.
format Preprint
id arxiv_https___arxiv_org_abs_2404_04462
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On the size of temporal cliques in subcritical random temporal graphs
Atamanchuk, Caelan
Devroye, Luc
Lugosi, Gabor
Probability
A \emph{random temporal graph} is an Erdős-Rényi random graph $G(n,p)$, together with a random ordering of its edges. A path in the graph is called \emph{increasing} if the edges on the path appear in increasing order. A set $S$ of vertices forms a \emph{temporal clique} if for all $u,v \in S$, there is an increasing path from $u$ to $v$. \cite{Becker2023} proved that if $p=c\log n/n$ for $c>1$, then, with high probability, there is a temporal clique of size $n-o(n)$. On the other hand, for $c<1$, with high probability, the largest temporal clique is of size $o(n)$. In this note we improve the latter bound by showing that, for $c<1$, the largest temporal clique is of \emph{constant} size with high probability.
title On the size of temporal cliques in subcritical random temporal graphs
topic Probability
url https://arxiv.org/abs/2404.04462