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北美退伍军人节(Veterans Day),12 日无更新
arXiv 1108.2502math.CO
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随机图的Dirac定理

Dirac's theorem for random graphs

Choongbum Lee, Benny Sudakov

摘要:

Dirac在1952年提出的一个经典定理证明了$n$顶点上的最小度至少为$\lceil n/2 \rceil$的图是Hamilton图。在本文中,我们将这个结果推广到随机图。受随机图弹性研究的启发,我们证明了如果$p \gg \log n /n$,则a.a.s.最小度至少为$(1/2+o(1))np$的$G(n,p)$的每个子图都是Hamilton图。我们的结果改进了以前已知的界限,并回答了一个公开的问题Sudakov和Vu。边缘概率$p$的范围和常数1/2的值都是渐近最佳可能的。

英文摘要:

A classical theorem of Dirac from 1952 asserts that every graph on $n$ vertices with minimum degree at least $\lceil n/2 \rceil$ is Hamiltonian. In this paper we extend this result to random graphs. Motivated by the study of resilience of random graph properties we prove that if $p \gg \log n /n$, then a.a.s. every subgraph of $G(n,p)$ with minimum degree at least $(1/2+o(1))np$ is Hamiltonian. Our result improves on previously known bounds, and answers an open problem of Sudakov and Vu. Both, the range of edge probability $p$ and the value of the constant 1/2 are asymptotically best possible.

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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