Random cliques in random graphs and sharp thresholds for $F$-factors
Abstract
We show that for each , in a density range extending up to, and slightly beyond, the threshold for a -factor, the copies of in the random graph 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 to contain a -factor. The case is more difficult, and has been settled by Annika Heckel. We also prove a corresponding result for -factors in random -uniform hypergraphs, as well as (in some cases weaker) generalizations replacing 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