Large subgraphs in pseudo-random graphs
Abstract
We consider classes of pseudo-random graphs on vertices for which the degree of every vertex and the co-degree between every pair of vertices are in the intervals and respectively, for some absolute constant , and . We show that for such pseudo-random graphs the number of induced isomorphic copies of subgraphs of size are approximately same as that of an Erd\H{o}s-R\'{e}yni random graph with edge connectivity probability as long as , when . When we obtain a similar result. Our result is applicable for a large class of random and deterministic graphs including exponential random graph models (ERGMs), thresholded graphs from high-dimensional correlation networks, Erd\H{o}s-R\'{e}yni random graphs conditioned on large cliques, random -regular graphs and graphs obtained from vector spaces over binary fields. In the context of the last example, the results obtained are optimal. Straight-forward extensions using the proof techniques in this paper imply strengthening of the above results in the context of larger motifs if a model allows control over higher co-degree type functionals.
Cite
@article{arxiv.1610.03762,
title = {Large subgraphs in pseudo-random graphs},
author = {Anirban Basak and Shankar Bhamidi and Suman Chakraborty and Andrew Nobel},
journal= {arXiv preprint arXiv:1610.03762},
year = {2016}
}
Comments
52 pages