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arXiv math/0603218math.COmath.PR
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限制和期望阈值

Thresholds and expectation thresholds

Jeff Kahn, Gil Kalai

摘要:

考虑G(n,p)中的一个随机图G,其图的性质是:G包含一个特定图H的拷贝。(Note:H依赖于n;一个启发性的例子:H是一个哈密顿圈。)设q是H的每个子图H'在G中的期望拷贝数至少为1/2的极小值。设p是G包含H的拷贝的概率为1/2的值。时间复杂度为O(log n)。一般布尔函数的相关图解,以及与离散等周的可能联系进行了讨论。

英文摘要:

Consider a random graph G in G(n,p) and the graph property: G contains a copy of a specific graph H. (Note: H depends on n; a motivating example: H is a Hamiltonian cycle.) Let q be the minimal value for which the expected number of copies of H' in G is at least 1/2 for every subgraph H' of H. Let p be the value for which the probability that G contains a copy of H is 1/2. Conjecture: p/q = O(log n). Related conjectures for general Boolean functions, and a possible connection with discrete isoperimetry are discussed.

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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