English

Random cliques in random graphs and sharp thresholds for $F$-factors

Combinatorics 2022-06-10 v3 Probability

Abstract

We show that for each r4r\ge 4, in a density range extending up to, and slightly beyond, the threshold for a KrK_r-factor, the copies of KrK_r in the random graph G(n,p)G(n,p) are randomly distributed, in the (one-sided) sense that the hypergraph that they form contains a copy of a binomial random hypergraph with almost exactly the right density. Thus Jeff Kahn's recent asymptotically sharp bound for the threshold in Shamir's hypergraph matching problem implies a corresponding bound for the threshold for G(n,p)G(n,p) to contain a KrK_r-factor. The case r=3r=3 is more difficult, and has been settled by Annika Heckel. We also prove a corresponding result for Kr(t)K_r^{(t)}-factors in random tt-uniform hypergraphs, as well as (in some cases weaker) generalizations replacing KrK_r by certain other (hyper)graphs.

Keywords

Cite

@article{arxiv.1802.01948,
  title  = {Random cliques in random graphs and sharp thresholds for $F$-factors},
  author = {Oliver Riordan},
  journal= {arXiv preprint arXiv:1802.01948},
  year   = {2022}
}

Comments

22 pages; figures added, hypergraph case included

R2 v1 2026-06-23T00:12:55.351Z