arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2011.04650math.CO

边着色图中的大彩虹匹配

Large rainbow matchings in edge-colored graphs

Debsoumya Chakraborti, Po-Shen Loh

AI总结:

通过放宽颜色数量、正常着色条件和图类型,证明了在边着色图中存在大彩虹匹配的充分条件,并构造反例反驳了Aharoni和Berger的猜想。

摘要:

边着色图的一个子图称为\emph{彩虹}的,如果它的所有边都有不同的颜色。关于在正常边着色图中寻找大彩虹匹配的问题已有大量研究,其中正常边着色是指边集的着色使得没有相同颜色的边相邻。Gao、Ramadurai、Wanless和Wormald证明,在具有$n$种颜色且每种颜色至少出现$n+o(n)$次的图的每个正常边着色中,总存在一个使用每种颜色的彩虹匹配。我们通过同时放宽三个条件来加强这一结果:(i) 我们取消了对颜色数量的限制,允许任意有限种颜色,并代之以一个较弱的条件,要求图的最大度至多为$n$;(ii) 我们放宽了正常着色条件,要求每种颜色所诱导的图的最大度为$o(n)$;(iii) 我们在更一般的多重图设置中工作,允许边重数为$o(n)$。作为该结果的一个应用,我们证明,对于具有$2n+o(n)$种颜色且每种颜色至少出现$n$次的图的每个正常边着色,总存在一个大小为$n$的彩虹匹配。Aharoni和Berger猜想该陈述中的$2n+o(n)$可以被$n+1$取代。我们通过一个显式构造反驳了这一猜想。

英文摘要:

A subgraph of an edge-colored graph is called \emph{rainbow} if all of its edges have distinct colors. There has been much research on the topic of finding a large rainbow matching in a properly edge-colored graph, where a proper edge-coloring is a coloring of the edge set such that no same-colored edges are incident. Gao, Ramadurai, Wanless, and Wormald proved that in every proper edge-coloring of a graph with $n$ colors where each color appears at least $n+o(n)$ times, there is always a rainbow matching using every color. We strengthen this result by simultaneously relaxing three conditions: (i) we lift the condition on the number of colors and allow any finite number of colors and instead, put a weaker condition requiring the maximum degree of the graph to be at most $n$, (ii) we relax the proper coloring condition and require that the graph induced by each of the colors have maximum degree $o(n)$, and (iii) we work in a more general setting of multigraphs allowing edge multiplicities to be $o(n)$. As an application of this result, we show that for every proper edge-coloring of a graph with $2n+o(n)$ colors where each color appears at least $n$ times, there is always a rainbow matching of size $n$. Aharoni and Berger conjectured that $2n+o(n)$ can be replaced by $n+1$ in this statement. We dispute this conjecture with an explicit construction.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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