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arXiv 1606.05923math.CO
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将大型图嵌入随机图

Embedding large graphs into a random graph

Asaf Ferber, Kyle Luh, Oanh Nguyen

摘要:

本文考虑了在随机图中嵌入几乎生成的有界度图的问题。特别地,令$Δ\geq 5$、$\varepsilon > 0$和$H$是在$(1-\varepsilon)n$顶点上的图,并且具有最大度$Δ$。我们证明了随机图$G_{n,p}$具有高概率包含$H$的副本,条件是$p\gg (n^{-1}\log^{1/Δ}n)^{2/(Δ+1)}$。我们对$p$的假设是最优的,直到$polylog$因子。我们注意到,该$polylog$项与跨越情况的限制阈值相匹配。

英文摘要:

In this paper we consider the problem of embedding almost-spanning, bounded degree graphs in a random graph. In particular, let $Δ\geq 5$, $\varepsilon > 0$ and let $H$ be a graph on $(1-\varepsilon)n$ vertices and with maximum degree $Δ$. We show that a random graph $G_{n,p}$ with high probability contains a copy of $H$, provided that $p\gg (n^{-1}\log^{1/Δ}n)^{2/(Δ+1)}$. Our assumption on $p$ is optimal up to the $polylog$ factor. We note that this $polylog$ term matches the conjectured threshold for the spanning case.

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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