English

Embedding large graphs into a random graph

Combinatorics 2017-08-04 v3

Abstract

In this paper we consider the problem of embedding almost-spanning, bounded degree graphs in a random graph. In particular, let Δ5\Delta\geq 5, ε>0\varepsilon > 0 and let HH be a graph on (1ε)n(1-\varepsilon)n vertices and with maximum degree Δ\Delta. We show that a random graph Gn,pG_{n,p} with high probability contains a copy of HH, provided that p(n1log1/Δn)2/(Δ+1)p\gg (n^{-1}\log^{1/\Delta}n)^{2/(\Delta+1)}. Our assumption on pp is optimal up to the polylogpolylog factor. We note that this polylogpolylog term matches the conjectured threshold for the spanning case.

Keywords

Cite

@article{arxiv.1606.05923,
  title  = {Embedding large graphs into a random graph},
  author = {Asaf Ferber and Kyle Luh and Oanh Nguyen},
  journal= {arXiv preprint arXiv:1606.05923},
  year   = {2017}
}

Comments

Incorporated referee comments. To appear in Bulletin of the London Mathematical Society