Sharp Thresholds for Factors in Random Graphs

Fuente: arXiv
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Auteurs principaux: Burghart, Fabian, Heckel, Annika, Kaufmann, Marc, Müller, Noela, Pasch, Matija
Format: Preprint
Publié: 2024
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author Burghart, Fabian
Heckel, Annika
Kaufmann, Marc
Müller, Noela
Pasch, Matija
author_facet Burghart, Fabian
Heckel, Annika
Kaufmann, Marc
Müller, Noela
Pasch, Matija
contents Let $F$ be a graph on $r$ vertices and let $G$ be a graph on $n$ vertices. Then an $F$-factor in $G$ is a subgraph of $G$ composed of $n/r$ vertex-disjoint copies of $F$, if $r$ divides $n$. In other words, an $F$-factor yields a partition of the $n$ vertices of $G$. The study of such $F$-factors in the Erdős-Rényi random graph dates back to Erdős himself. Decades later, in 2008, Johansson, Kahn and Vu established the thresholds for the existence of an $F$-factor for strictly 1-balanced $F$ -- up to the leading constant. The sharp thresholds, meaning the leading constants, were obtained only recently by Riordan and Heckel, but only for complete graphs $F=K_r$ and for so-called nice graphs. Their results rely on sophisticated couplings that utilize the recent, celebrated solution of Shamir's problem by Kahn. We extend the couplings by Riordan and Heckel to any strictly 1-balanced $F$ and thereby obtain the sharp threshold for the existence of an $F$-factor. In particular, we confirm the thirty year old conjecture by Rucínski that this sharp threshold indeed coincides with the sharp threshold for the disappearance of the last vertices which are not contained in a copy of $F$.
format Preprint
id arxiv_https___arxiv_org_abs_2411_14138
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Sharp Thresholds for Factors in Random Graphs
Burghart, Fabian
Heckel, Annika
Kaufmann, Marc
Müller, Noela
Pasch, Matija
Combinatorics
Probability
05C70 (primary), 05C80, 60C05 (secondary)
Let $F$ be a graph on $r$ vertices and let $G$ be a graph on $n$ vertices. Then an $F$-factor in $G$ is a subgraph of $G$ composed of $n/r$ vertex-disjoint copies of $F$, if $r$ divides $n$. In other words, an $F$-factor yields a partition of the $n$ vertices of $G$. The study of such $F$-factors in the Erdős-Rényi random graph dates back to Erdős himself. Decades later, in 2008, Johansson, Kahn and Vu established the thresholds for the existence of an $F$-factor for strictly 1-balanced $F$ -- up to the leading constant. The sharp thresholds, meaning the leading constants, were obtained only recently by Riordan and Heckel, but only for complete graphs $F=K_r$ and for so-called nice graphs. Their results rely on sophisticated couplings that utilize the recent, celebrated solution of Shamir's problem by Kahn. We extend the couplings by Riordan and Heckel to any strictly 1-balanced $F$ and thereby obtain the sharp threshold for the existence of an $F$-factor. In particular, we confirm the thirty year old conjecture by Rucínski that this sharp threshold indeed coincides with the sharp threshold for the disappearance of the last vertices which are not contained in a copy of $F$.
title Sharp Thresholds for Factors in Random Graphs
topic Combinatorics
Probability
05C70 (primary), 05C80, 60C05 (secondary)
url https://arxiv.org/abs/2411.14138