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Electronic Journal of Combinatorics
Article . 2024 . Peer-reviewed
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Article . 2022
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Local Rainbow Colorings for Various Graphs

Local rainbow colorings for various graphs
Authors: Xinbu Cheng; Zixiang Xu;

Local Rainbow Colorings for Various Graphs

Abstract

Motivated by a problem in theoretical computer science suggested by Wigderson, Alon and Ben-Eliezer studied the following extremal problem systematically one decade ago. Given a graph $H$, let $C(n,H)$ be the minimum number $k$ such that the following holds. There are $n$ colorings of $E(K_{n})$ with $k$ colors, each associated with one of the vertices of $K_{n}$, such that for every copy $T$ of $H$ in $K_{n}$, at least one of the colorings that are associated with $V(T)$ assigns distinct colors to all the edges of $E(T)$. In this paper, we obtain several new results in this problem including: For paths of short length, we show that $C(n,P_{4})=\Omega(n^{1/5})$ and $C(n,P_{t})=\Omega(n^{1/3})$ with $t\in\{5,6\}$, which significantly improve the previously known lower bounds $(\log{n})^{\Omega(1)}$. We make progress on the problem of Alon and Ben-Eliezer about complete graphs, more precisely, we show that $C(n,K_{r})=\Omega(n^{2/3})$ when $r\geqslant 8$, and $C(n,K_{s,t})=\Omega(n^{2/3})$ for all $t\geqslant s\geqslant 7$. When $H$ is a star with at least $4$ leaves, a matching of size at least $4$, or a path of length at least $7$, we give a new lower bound for $C(n,H)$. We also show that for any graph $H$ with at least $6$ edges, $C(n,H)$ is polynomial in $n$. All of these improve the corresponding results obtained by Alon and Ben-Eliezer.

Keywords

Extremal problems in graph theory, combinatorial covering problems, 05C35, 05C15, Boolean circuit complexity, complexity classes, Coloring of graphs and hypergraphs, Graph theory (including graph drawing) in computer science, FOS: Mathematics, Mathematics - Combinatorics, 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!
0
Average
Average
Average
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