English

Tur\'an's Theorem for random graphs

Probability 2015-01-08 v1 Combinatorics

Abstract

For a graph GG, denote by tr(G)t_r(G) (resp. br(G)b_r(G)) the maximum size of a KrK_r-free (resp. (r1)(r-1)-partite) subgraph of GG. Of course tr(G)br(G)t_r(G) \geq b_r(G) for any GG, and Tur\'an's Theorem says that equality holds for complete graphs. With Gn,pG_{n,p} the usual ("binomial" or "Erd\H{o}s-R\'enyi") random graph, we show: For each fixed r there is a C such that if p=p(n)>Cn2r+1log2(r+1)(r2)n, p=p(n) > Cn^{-\tfrac{2}{r+1}}\log^{\tfrac{2}{(r+1)(r-2)}}n, then Pr(tr(Gn,p)=br(Gn,p))1\Pr(t_r(G_{n,p})=b_r(G_{n,p}))\rightarrow 1 as nn\rightarrow\infty. This is best possible (apart from the value of CC) and settles a question first considered by Babai, Simonovits and Spencer about 25 years ago.

Keywords

Cite

@article{arxiv.1501.01340,
  title  = {Tur\'an's Theorem for random graphs},
  author = {Bobby DeMarco and Jeff Kahn},
  journal= {arXiv preprint arXiv:1501.01340},
  year   = {2015}
}

Comments

69 pages

R2 v1 2026-06-22T07:53:03.138Z