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Critical Thresholds for Maximum Cardinality Matching on General Hypergraphs

Discrete Mathematics 2024-10-03 v2 Combinatorics

Abstract

Significant work has been done on computing the ``average'' optimal solution value for various NP\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 nn vertices and MM hyperedges. We consider the problem of determining critical thresholds for the largest cardinality matching, and we show that for M=o(1.155n)M=o(1.155^n) the size of the maximum cardinality matching is almost surely 1. On the other hand, if M=Θ(2n)M=\Theta(2^n) then the size of the maximum cardinality matching is Ω(n12γ)\Omega(n^{\frac12-\gamma}) for an arbitrary γ>0\gamma >0. Lastly, we address the gap where Ω(1.155n)=M=o(2n)\Omega(1.155^n)=M=o(2^n) empirically through computer simulations.

Cite

@article{arxiv.2409.09155,
  title  = {Critical Thresholds for Maximum Cardinality Matching on General Hypergraphs},
  author = {Christopher Sumnicht and Jamison W. Weber and Dhanush R. Giriyan and Arunabha Sen},
  journal= {arXiv preprint arXiv:2409.09155},
  year   = {2024}
}
R2 v1 2026-06-28T18:44:16.494Z