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Electronic Journal of Combinatorics
Article . 2024 . Peer-reviewed
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On the Anti-Ramsey Threshold for Non-Balanced Graphs

On the anti-Ramsey threshold for non-balanced graphs
Authors: Pedro Araújo; Taísa Martins; Letícia Mattos; Walner Mendonça; Luiz Moreira; Guilherme Oliveira Mota;

On the Anti-Ramsey Threshold for Non-Balanced Graphs

Abstract

For graphs $G,H$, we write $G \overset{\mathrm{rb}}{\longrightarrow} H $ if for every proper edge-coloring of $G$ there is a rainbow copy of $H$, i.e., a copy where no color appears more than once. Kohayakawa, Konstadinidis and the last author proved that the threshold for $G(n,p) \overset{\mathrm{rb}}{\longrightarrow} H$ is at most $n^{-1/m_2(H)}$. Previous results have matched the lower bound for this anti-Ramsey threshold for cycles and complete graphs with at least 5 vertices. Kohayakawa, Konstadinidis and the last author also presented an infinite family of graphs $H$ for which the anti-Ramsey threshold is asymptotically smaller than $n^{-1/m_2(H)}$. In this paper, we devise a framework that provides a richer family of such graphs.

Keywords

non-balanced graphs, Anti-Ramsey threshold, Random graphs (graph-theoretic aspects), 500 Naturwissenschaften und Mathematik::510 Mathematik::510 Mathematik, Generalized Ramsey theory, anti-Ramsey threshold for cycles, rainbow copy, framework, FOS: Mathematics, Mathematics - Combinatorics, Structural characterization of families of graphs, Combinatorics (math.CO)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
gold