Ramsey simplicity of random graphs

Abstract A graph $G$ is $q$ - Ramsey for another graph $H$ if in any $q$ -edge-colouring of $G$ there is a monochromatic copy of $H$ , and the classic Ramsey problem asks for the minimum number of vertices in such a graph. This was broadened in the seminal work of Burr, Erdős, and Lovász to the investigation of other extremal parameters of Ramsey graphs, including the minimum degree. It is not hard to see that if $G$ is minimally $q$ -Ramsey for $H$ we must have $\delta (G) \ge q(\delta (H) - 1) + 1$ , and we say that a graph $H$ is $q$ - Ramsey simple if this bound can be attained. Grinshpun showed that this is typical of rather sparse graphs, proving that the random graph $G(n,p)$ is almost surely $2$ -Ramsey simple when $\frac{\log n}{n} \ll p \ll n^{-2/3}$ . In this paper, we explore this question further, asking for which pairs $p = p(n)$ and $q = q(n,p)$ we can expect $G(n,p)$ to be $q$ -Ramsey simple. We first extend Grinshpun’s result by showing that $G(n,p)$ is not just $2$ -Ramsey simple, but is in fact $q$ -Ramsey simple for any $q = q(n)$ , provided $p \ll n^{-1}$ or $\frac{\log n}{n} \ll p \ll n^{-2/3}$ . Next, when $p \gg \left ( \frac{\log n}{n} \right )^{1/2}$ , we find that $G(n,p)$ is not $q$ -Ramsey simple for any $q \ge 2$ . Finally, we uncover some interesting behaviour for intermediate edge probabilities. When $n^{-2/3} \ll p \ll n^{-1/2}$ , we find that there is some finite threshold $\tilde{q} = \tilde{q}(H)$ , depending on the structure of the instance $H \sim G(n,p)$ of the random graph, such that $H$ is $q$ -Ramsey simple if and only if <jats:inline-graphic

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Publication Details

Journal
Combinatorics Probability Computing
Published
2024-12-03
DOI
https://doi.org/10.1017/s0963548324000385
Primary Topic
Limits and Structures in Graph Theory
Type
article
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article

Ramsey simplicity of random graphs

Dennis Clemens, Shagnik Das, Simona Boyadzhiyska, Pranshu Gupta
Combinatorics Probability Computing
Limits and Structures in Graph Theory
article

Ramsey simplicity of random graphs

Dennis Clemens, Shagnik Das, Simona Boyadzhiyska, Pranshu Gupta
article en

Abstract

Abstract A graph $G$ is $q$ - Ramsey for another graph $H$ if in any $q$ -edge-colouring of $G$ there is a monochromatic copy of $H$ , and the classic Ramsey problem asks for the minimum number of vertices in such a graph. This was broadened in the seminal work of Burr, Erdős, and Lovász to the investigation of other extremal parameters of Ramsey graphs, including the minimum degree. It is not hard to see that if $G$ is minimally $q$ -Ramsey for $H$ we must have $\delta (G) \ge q(\delta (H) - 1) + 1$ , and we say that a graph $H$ is $q$ - Ramsey simple if this bound can be attained. Grinshpun showed that this is typical of rather sparse graphs, proving that the random graph $G(n,p)$ is almost surely $2$ -Ramsey simple when $\frac{\log n}{n} \ll p \ll n^{-2/3}$ . In this paper, we explore this question further, asking for which pairs $p = p(n)$ and $q = q(n,p)$ we can expect $G(n,p)$ to be $q$ -Ramsey simple. We first extend Grinshpun’s result by showing that $G(n,p)$ is not just $2$ -Ramsey simple, but is in fact $q$ -Ramsey simple for any $q = q(n)$ , provided $p \ll n^{-1}$ or $\frac{\log n}{n} \ll p \ll n^{-2/3}$ . Next, when $p \gg \left ( \frac{\log n}{n} \right )^{1/2}$ , we find that $G(n,p)$ is not $q$ -Ramsey simple for any $q \ge 2$ . Finally, we uncover some interesting behaviour for intermediate edge probabilities. When $n^{-2/3} \ll p \ll n^{-1/2}$ , we find that there is some finite threshold $\tilde{q} = \tilde{q}(H)$ , depending on the structure of the instance $H \sim G(n,p)$ of the random graph, such that $H$ is $q$ -Ramsey simple if and only if <jats:inline-graphic

Combinatorics Probability ComputingVol. 34(2)
HUN-REN Alfréd Rényi Institute of Mathematics (HU), Universität Hamburg (DE), National Taiwan University (TW), University of Passau (DE), Hamburg University of Technology (DE)
Openalex Percentile: Top 99%
Limits and Structures in Graph Theory
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Ramsey simplicity of random graphs — Dennis Clemens, Shagnik Das, et al. · Combinatorics Probability Computing (2024) | TGRS Research Map | TGRS