随机超图中的哈密顿Berge环

Deepak Bal, R. Berkowitz, Pat Devlin, M. Schacht
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引用次数: 3

摘要

摘要本文研究了随机r-一致超图中哈密顿Berge环的出现。对于$r\geq 3$,我们证明了一个最优停止时间的结果,如果在一个初始空的r-图上依次添加边,那么只要最小度至少为2,那么高概率的超图就有这样一个循环。特别地,这决定了Erdős-Rényi随机r-图的Berge hamilton的阈值概率,并且我们还证明了具有高概率的2-out随机r-图具有这样一个循环。对于弱Berge环,我们也得到了类似的结果,从而解决了Poole的一个猜想。
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Hamiltonian Berge cycles in random hypergraphs
Abstract In this note we study the emergence of Hamiltonian Berge cycles in random r-uniform hypergraphs. For $r\geq 3$ we prove an optimal stopping time result that if edges are sequentially added to an initially empty r-graph, then as soon as the minimum degree is at least 2, the hypergraph with high probability has such a cycle. In particular, this determines the threshold probability for Berge Hamiltonicity of the Erdős–Rényi random r-graph, and we also show that the 2-out random r-graph with high probability has such a cycle. We obtain similar results for weak Berge cycles as well, thus resolving a conjecture of Poole.
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