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arXiv 1902.02197math.CO
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随机扰动稠密图的Ramsey性质

Ramsey properties of randomly perturbed dense graphs

Emil Powierski

摘要:

研究了在给定的稠密图上添加随机边的随机图模型的Ramsey性质。具体来说,我们确定上界的功能$p=p(n)$,确保任何密集图$G_n$ a.a.s. $G_n\cup G(n,p)$的边的每一个2-着色都允许完全图$K_r$的单色拷贝。当$r\geq 5$为奇数时,这些边界是渐近尖锐的;当$r\geq 4$为偶数时,这些边界几乎是尖锐的。我们的证明利用最近的结果的阈值不对称拉姆齐性质的$G(n,p)$和方法的依赖随机选择。

英文摘要:

We investigate Ramsey properties of a random graph model in which random edges are added to a given dense graph. Specifically, we determine lower and upper bounds on the function $p=p(n)$ that ensures that for any dense graph $G_n$ a.a.s. every 2-colouring of the edges of $G_n\cup G(n,p)$ admits a monochromatic copy of the complete graph $K_r$. These bounds are asymptotically sharp for the cases when $r\geq 5$ is odd and almost sharp when $r\geq 4$ is even. Our proofs utilise recent results on the threshold for asymmetric Ramsey properties in $G(n,p)$ and the method of dependent random choice.

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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