Critical Thresholds for Maximum Cardinality Matching on General Hypergraphs

Christopher Sumnicht, Jamison W. Weber, Dhanush R. Giriyan, Arunabha Sen
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Abstract

Significant work has been done on computing the ``average'' optimal solution value for various $\mathsf{NP}$-complete problems using the Erd\"{o}s-R\'{e}nyi model to establish \emph{critical thresholds}. Critical thresholds define narrow bounds for the optimal solution of a problem instance such that the probability that the solution value lies outside these bounds vanishes as the instance size approaches infinity. In this paper, we extend the Erd\"{o}s-R\'{e}nyi model to general hypergraphs on $n$ vertices and $M$ hyperedges. We consider the problem of determining critical thresholds for the largest cardinality matching, and we show that for $M=o(1.155^n)$ the size of the maximum cardinality matching is almost surely 1. On the other hand, if $M=\Theta(2^n)$ then the size of the maximum cardinality matching is $\Omega(n^{\frac12-\gamma})$ for an arbitrary $\gamma >0$. Lastly, we address the gap where $\Omega(1.155^n)=M=o(2^n)$ empirically through computer simulations.
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一般超图上最大卡方匹配的临界阈值
在计算各种$\mathsf{NP}$-complete问题的 "平均 "最优解值方面,已经做了大量工作,这些工作利用Erd"{o}s-R\'{e}nyimodel 建立了 "临界阈值"(emph{critical thresholds})。临界阈值定义了问题实例最优解的窄边界,当实例大小接近无穷大时,解值位于这些边界之外的概率就会消失。在本文中,我们将埃尔德(Erd\"{o}s-R\'{e}nyi )模型扩展到了具有 $n$ 顶点和 $M$ 超通道的一般超图。我们考虑了确定最大心率匹配临界阈值的问题,并证明对于 $M=o(1.155^n)$,最大心率匹配的大小几乎肯定为 1。另一方面,如果$M=theta(2^n)$,那么在任意$\gamma>0$的情况下,最大卡方匹配的大小为$Omega(n^{\frac12-\gamma})$。最后,我们通过计算机模拟来解决$\Omega(1.155^n)=M=o(2^n)$的经验差距。
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