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arXiv 2405.04670math.COmath.PR
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随机 $d$-超图之间的同构

Isomorphisms between random $d$-hypergraphs

Théo Lenoir

AI总结:

本文利用一阶矩与二阶矩方法,刻画不同规模随机均匀 $d$-超图的最大公共诱导子图,并证明其分布的两点集中及包含关系相变。

摘要:

我们刻画了两个规模不同、相互独立的随机均匀 $d$-超图(其中 $d\geq 3$)的最大公共诱导子图的大小。更确切地说,其分布渐近集中在两个点上,并由此得到最小超图包含于最大超图这一性质的相变。这将 Chatterjee 和 Diaconis 关于均匀随机图的结果推广到均匀随机 $d$-超图。我们的证明依赖一阶矩和二阶矩方法。

英文摘要:

We characterize the size of the largest common induced subgraph of two independent random uniform $d$-hypergraphs of different sizes with $d\geq 3$. More precisely, its distribution is asymptotically concentrated on two points, and we obtain as a consequence a phase transition for the inclusion of the smallest hypergraph in the largest one. This generalizes to uniform random $d$-hypergraphs the results of Chatterjee and Diaconis for uniform random graphs. Our proofs rely on the first and second moment methods.

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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