Largest sparse subgraphs of random graphs
Combinatorics
2013-09-04 v1 Probability
Abstract
For the Erd\H{o}s-R\'enyi random graph G(n,p), we give a precise asymptotic formula for the size of a largest vertex subset in G(n,p) that induces a subgraph with average degree at most t, provided that p = p(n) is not too small and t = t(n) is not too large. In the case of fixed t and p, we find that this value is asymptotically almost surely concentrated on at most two explicitly given points. This generalises a result on the independence number of random graphs. For both the upper and lower bounds, we rely on large deviations inequalities for the binomial distribution.
Cite
@article{arxiv.1203.0132,
title = {Largest sparse subgraphs of random graphs},
author = {Nikolaos Fountoulakis and Ross J. Kang and Colin McDiarmid},
journal= {arXiv preprint arXiv:1203.0132},
year = {2013}
}
Comments
15 pages