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arXiv 1507.07960math.CO
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随机扰动图中的有界度生成树

Bounded-degree spanning trees in randomly perturbed graphs

Michael Krivelevich, Matthew Kwan, Benny Sudakov

AI总结:

本文证明了固定稠密图在适度随机扰动后渐近必然包含任意有界度生成树,并利用稠密图分解为超正则对的引理扩展了随机扰动图研究。

摘要:

我们证明,对于任意具有相同顶点数的固定稠密图G和有界度树T,对G进行适度的随机扰动通常会包含T的一个副本。这结合了将树嵌入固定稠密图和随机图这两个被广泛研究的问题的视角,并扩展了关于随机扰动图的大量现有研究。具体而言,我们证明存在c=c(α,Δ),使得如果G是顶点数至少为αn的n顶点图,且T是最大度至多为Δ的n顶点树,那么如果向G添加cn条均匀随机边,所得图将渐近几乎必然(当n→∞时)包含T。我们的证明使用了一个关于将稠密图分解为大小可比的超正则对的引理,这可能具有独立的研究价值。

英文摘要:

We show that for any fixed dense graph G and bounded-degree tree T on the same number of vertices, a modest random perturbation of G will typically contain a copy of T . This combines the viewpoints of the well-studied problems of embedding trees into fixed dense graphs and into random graphs, and extends a sizeable body of existing research on randomly perturbed graphs. Specifically, we show that there is $c = c(α,Δ)$ such that if G is an n-vertex graph with minimum degree at least $αn$, and T is an n-vertex tree with maximum degree at most $Δ$ , then if we add cn uniformly random edges to G, the resulting graph will contain T asymptotically almost surely (as $n\to\infty$ ). Our proof uses a lemma concerning the decomposition of a dense graph into super-regular pairs of comparable sizes, which may be of independent interest.

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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