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arXiv 1503.00494math.CO
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稠密拟随机图的最优路和圈分解

Optimal path and cycle decompositions of dense quasirandom graphs

Stefan Glock, Daniela Kühn, Deryk Osthus

摘要:

受图的路径和圈分解的长期理论的启发,我们证明了随机图的最优分解结果。设$0<p<1$为常数,设$G\sim G_{n,p}$。令$odd(G)$为$G$中奇数度顶点的数目。那就尽快以下成立:(i)$G$可以被分解成$\lfloorΔ(G)/2\rfloor$循环和大小匹配$odd(G)/2$。(ii)$G$可以分解为$\max\{odd(G)/2,\lceilΔ(G)/2\rceil\}$路径。(iii)$G$可以分解为$\lceilΔ(G)/2\rceil$线性森林。这些边界中的每一个都是最佳可能的。我们实际上是从我们结果的“拟随机”版本导出(i)-(iii)。在这种情况下,我们还确定了边色数的一个给定的稠密拟随机图的偶数阶。对于所有这些结果,我们的主要工具是由Kühn和Osthus的鲁棒扩张的Hamilton分解的结果。

英文摘要:

Motivated by longstanding conjectures regarding decompositions of graphs into paths and cycles, we prove the following optimal decomposition results for random graphs. Let $0<p<1$ be constant and let $G\sim G_{n,p}$. Let $odd(G)$ be the number of odd degree vertices in $G$. Then a.a.s. the following hold: (i) $G$ can be decomposed into $\lfloorΔ(G)/2\rfloor$ cycles and a matching of size $odd(G)/2$. (ii) $G$ can be decomposed into $\max\{odd(G)/2,\lceilΔ(G)/2\rceil\}$ paths. (iii) $G$ can be decomposed into $\lceilΔ(G)/2\rceil$ linear forests. Each of these bounds is best possible. We actually derive (i)--(iii) from `quasirandom' versions of our results. In that context, we also determine the edge chromatic number of a given dense quasirandom graph of even order. For all these results, our main tool is a result on Hamilton decompositions of robust expanders by Kühn and Osthus.

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