The order of the largest complete minor in a random graph
N. Fountoulakis, D. K\"uhn, D. Osthus

TL;DR
This paper precisely determines the size of the largest complete minor in a random graph G(n,p) for various ranges of p, extending previous results and answering an open question about the phase transition.
Contribution
It extends existing results to determine the contraction clique number ccl(G(n,p)) for p > C/n and resolves an open problem about its order at the phase transition point.
Findings
For p > C/n, ccl(G(n,p)) is tightly bounded.
At p = C/n with C > 1, ccl(G(n,p)) is asymptotically of order √n.
Answers an open question by Krivelevich and Sudakov.
Abstract
Let ccl(G) denote the order of the largest complete minor in a graph G (also called the contraction clique number) and let G(n,p) denote a random graph on n vertices with edge probability p. Bollobas, Catlin and Erdos asymptotically determined ccl(G (n,p)) when p is a constant. Luczak, Pittel and Wierman gave bounds on ccl(G(n,p)) when p is very close to 1/n, i.e. inside the phase transition. Extending the results of Bollobas, Catlin and Erdos, we determine ccl(G(n,p)) quite tightly, for p>C/n where C is a large constant. If p=C/n, for an arbitrary constant C>1, then we show that asymptotically almost surely ccl(G (n,p)) is of order square-root of n. This answers a question of Krivelevich and Sudakov.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGraph theory and applications · Stochastic processes and statistical mechanics · Limits and Structures in Graph Theory
