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arXiv 2402.03045math.CO
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Kohayakawa-Kreuter猜想的证明

Resolution of the Kohayakawa-Kreuter conjecture

Micha Christoph, Anders Martinsson, Raphael Steiner, Yuval Wigderson

AI总结:

该研究解决了将Kohayakawa-Kreuter随机图Ramsey阈值猜想归约而来的确定性图分解问题,完整证明了这一著名猜想,同时得到了若干有独立价值的新型图分解结果。

摘要:

若图$G$的边的任意$r$着色都存在某个颜色$i$的单色$H_i$拷贝,则称图$G$对图元组$(H_1,\text{…},H_r)$是Ramsey的。Ramsey理论与随机图理论交叉领域的一个核心问题是确定二项随机图$G_{n,p}$渐近几乎必然(a.a.s.)成为固定元组$(H_1,\text{…},H_r)$的Ramsey图的阈值,Kohayakawa与Kreuter的著名猜想给出了该阈值的预测。Mousset-Nenadov-Samotij、Bowtell-Hancock-Hyde以及Kuperwasser-Samotij-Wigderson的前期工作已将这一概率问题归约为一个确定性图分解猜想。本文解决了该确定性问题,从而证明了Kohayakawa-Kreuter猜想。研究过程中还证明了若干具有独立研究价值的新型图分解结果。

英文摘要:

A graph $G$ is said to be Ramsey for a tuple of graphs $(H_1,\dots,H_r)$ if every $r$-coloring of the edges of $G$ contains a monochromatic copy of $H_i$ in color $i$, for some $i$. A fundamental question at the intersection of Ramsey theory and the theory of random graphs is to determine the threshold at which the binomial random graph $G_{n,p}$ becomes a.a.s. Ramsey for a fixed tuple $(H_1,\dots,H_r)$, and a famous conjecture of Kohayakawa and Kreuter predicts this threshold. Earlier work of Mousset-Nenadov-Samotij, Bowtell-Hancock-Hyde, and Kuperwasser-Samotij-Wigderson has reduced this probabilistic problem to a deterministic graph decomposition conjecture. In this paper, we resolve this deterministic problem, thus proving the Kohayakawa-Kreuter conjecture. Along the way, we prove a number of novel graph decomposition results 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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