Ramsey properties of randomly perturbed graphs: cliques and cycles

Shagnik Das, Andrew Treglown
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引用次数: 22

Abstract

Abstract Given graphs H1, H2, a graph G is (H1, H2) -Ramsey if, for every colouring of the edges of G with red and blue, there is a red copy of H1 or a blue copy of H2. In this paper we investigate Ramsey questions in the setting of randomly perturbed graphs. This is a random graph model introduced by Bohman, Frieze and Martin [8] in which one starts with a dense graph and then adds a given number of random edges to it. The study of Ramsey properties of randomly perturbed graphs was initiated by Krivelevich, Sudakov and Tetali [30] in 2006; they determined how many random edges must be added to a dense graph to ensure the resulting graph is with high probability (K3, Kt) -Ramsey (for t ≽ 3). They also raised the question of generalizing this result to pairs of graphs other than (K3, Kt). We make significant progress on this question, giving a precise solution in the case when H1 = Ks and H2 = Kt where s, t ≽ 5. Although we again show that one requires polynomially fewer edges than in the purely random graph, our result shows that the problem in this case is quite different to the (K3, Kt) -Ramsey question. Moreover, we give bounds for the corresponding (K4, Kt) -Ramsey question; together with a construction of Powierski [37] this resolves the (K4, K4) -Ramsey problem. We also give a precise solution to the analogous question in the case when both H1 = Cs and H2 = Ct are cycles. Additionally we consider the corresponding multicolour problem. Our final result gives another generalization of the Krivelevich, Sudakov and Tetali [30] result. Specifically, we determine how many random edges must be added to a dense graph to ensure the resulting graph is with high probability (Cs, Kt) -Ramsey (for odd s ≽ 5 and t ≽ 4). To prove our results we combine a mixture of approaches, employing the container method, the regularity method as well as dependent random choice, and apply robust extensions of recent asymmetric random Ramsey results.
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随机摄动图的Ramsey性质:团和圈
给定图H1, H2,图G是(H1, H2) -Ramsey,如果对于G的每条边用红色和蓝色着色,存在H1的红色副本或H2的蓝色副本。本文研究了随机摄动图集合中的Ramsey问题。这是一种随机图模型,由Bohman, Frieze和Martin提出,从一个密集图开始,然后在其中添加给定数量的随机边。随机摄动图的Ramsey性质的研究是由Krivelevich, Sudakov和Tetali[30]于2006年提出的;他们确定了必须向密集图添加多少随机边以确保结果图具有高概率(K3, Kt) -Ramsey (for t 3)。他们还提出了将此结果推广到(K3, Kt)以外的图对的问题。我们在这个问题上取得了重大进展,给出了H1 = Ks和H2 = Kt的精确解,其中s, t, t_(5)。尽管我们再次表明,与纯随机图相比,需要多项式地减少边数,但我们的结果表明,这种情况下的问题与(K3, Kt) -Ramsey问题完全不同。此外,我们给出了相应的(K4, Kt) -Ramsey问题的界;结合powererski[37]的构造,解决了(K4, K4) -Ramsey问题。在H1 = Cs和H2 = Ct都是循环的情况下,给出了类似问题的精确解。此外,我们还考虑了相应的多色问题。我们的最终结果给出了Krivelevich, Sudakov和Tetali[30]结果的另一个推广。具体来说,我们确定了必须向密集图添加多少随机边以确保结果图具有高概率(Cs, Kt) -Ramsey(对于奇数s())和t())。为了证明我们的结果,我们结合了多种方法,采用容器方法,正则性方法以及依赖随机选择,并应用了最近的非对称随机Ramsey结果的鲁强扩展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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