arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1412.6366math.CO
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随机超图的最大分支

Largest components in random hypergraphs

Oliver Cooley, Mihyun Kang, Yury Person

摘要:

本文考虑随机$k$ -一致超图中的$j$ -元组连通分支($j$ -元组连通关系可以通过让两个$j$ -集连通来定义,如果它们位于公共边并考虑传递闭包; $j=1$的情况对应于点连通的常见概念).我们确定了随机$k$ -均匀超图中包含$Θ(n^j)$ $j$ -集的$j$ -元组连通分支的存在性经历了相变,并证明了阈值发生在边概率$\tfrac{(k-j)!}{\binom{k}{j}-1}n^{j-k}$处。我们的证明扩展了Krivelevich和Sudakov最近的简短证明,该证明利用深度优先搜索来揭示随机图的边缘。我们的主要原始贡献是一个“有界度引理”,它控制着搜索过程中增长的组件的结构。

英文摘要:

In this paper we consider $j$-tuple-connected components in random $k$-uniform hypergraphs (the $j$-tuple-connectedness relation can be defined by letting two $j$-sets be connected if they lie in a common edge and consider the transitive closure; the case $j=1$ corresponds to the common notion of vertex-connectedness). We determine that the existence of a $j$-tuple-connected component containing $Θ(n^j)$ $j$-sets in random $k$-uniform hypergraphs undergoes a phase transition and show that the threshold occurs at edge probability $\tfrac{(k-j)!}{\binom{k}{j}-1}n^{j-k}$. Our proof extends the recent short proof for the graph case by Krivelevich and Sudakov which makes use of a depth-first search to reveal the edges of a random graph. Our main original contribution is a "bounded degree lemma" which controls the structure of the component grown in the search process.

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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