Common pairs of graphs

Abstract A graph $H$ is said to be common if the number of monochromatic labelled copies of $H$ in a red/blue edge colouring of a large complete graph is asymptotically minimised by a random colouring in which each edge is equally likely to be red or blue. We extend this notion to an off-diagonal setting. That is, we define a pair $(H_1,H_2)$ of graphs to be $(p,1-p)$ -common if a particular linear combination of the density of $H_1$ in red and $H_2$ in blue is asymptotically minimised by a random colouring in which each edge is coloured red with probability $p$ and blue with probability $1-p$ . Our results include off-diagonal extensions of several standard theorems on common graphs and novel results for common pairs of graphs with no natural analogue in the classical setting.

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Publication Details

Journal
Combinatorics Probability Computing
Published
2025-06-30
DOI
https://doi.org/10.1017/s0963548325000094
Primary Topic
Limits and Structures in Graph Theory
Type
article
Field-Weighted Citation Impact
0.00
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article

Common pairs of graphs

Natalie Behague, Jonathan A. Noel, Natasha Morrison
Combinatorics Probability Computing
Limits and Structures in Graph Theory
article

Common pairs of graphs

Natalie Behague, Jonathan A. Noel, Natasha Morrison
article en

Abstract

Abstract A graph $H$ is said to be common if the number of monochromatic labelled copies of $H$ in a red/blue edge colouring of a large complete graph is asymptotically minimised by a random colouring in which each edge is equally likely to be red or blue. We extend this notion to an off-diagonal setting. That is, we define a pair $(H_1,H_2)$ of graphs to be $(p,1-p)$ -common if a particular linear combination of the density of $H_1$ in red and $H_2$ in blue is asymptotically minimised by a random colouring in which each edge is coloured red with probability $p$ and blue with probability $1-p$ . Our results include off-diagonal extensions of several standard theorems on common graphs and novel results for common pairs of graphs with no natural analogue in the classical setting.

Combinatorics Probability ComputingVol. 34(5)
University of Victoria (CA), University of Warwick (GB)
Openalex Percentile: Top 78%
Limits and Structures in Graph Theory
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