Largest sparse subgraphs of random graphs

Abstract

For the Erdős–Rényi random graph Gn,pGn,p, we give a precise asymptotic formula for the size αˆt(Gn,p) of a largest vertex subset in Gn,pGn,p that induces a subgraph with average degree at most tt, provided that p=p(n)p=p(n) is not too small and t=t(n)t=t(n) is not too large. In the case of fixed tt and pp, 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.

Keywords

Citation

Fountoulakis, N, Kang, R & McDiarmid, C 2014, 'Largest sparse subgraphs of random graphs', European Journal of Combinatorics, vol. 35, pp. 232–244. https://doi.org/10.1016/j.ejc.2013.06.012