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arXiv 1408.4332math.CO
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长周期的阈值概率

The threshold probability for long cycles

Roman Glebov, Humberto Naves, Benny Sudakov

摘要:

对于给定的最小度至少为$k$的图$G$,令$G_p$表示以概率$p=p(k)$独立保留每条边所得到的$G$的随机生成子图。证明了如果$p \ge \frac{\log k + \log \log k + ω_k(1)}{k}$,其中$ω_k(1)$是任何趋于无穷大且具有$k$的函数,则$G_p$渐近几乎必然包含一个长度至少为$k+1$的圈.当$G$是以$k+1$为顶点的完全图时,我们的定理与关于二项式随机图中Hamilton圈存在的阈值概率的经典结果一致.

英文摘要:

For a given graph $G$ of minimum degree at least $k$, let $G_p$ denote the random spanning subgraph of $G$ obtained by retaining each edge independently with probability $p=p(k)$. We prove that if $p \ge \frac{\log k + \log \log k + ω_k(1)}{k}$, where $ω_k(1)$ is any function tending to infinity with $k$, then $G_p$ asymptotically almost surely contains a cycle of length at least $k+1$. When we take $G$ to be the complete graph on $k+1$ vertices, our theorem coincides with the classic result on the threshold probability for the existence of a Hamilton cycle in the binomial random graph.

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