Subgraph distributions in dense random regular graphs
Abstract
Given connected graph which is not a star, we show that the number of copies of in a dense uniformly random regular graph is asymptotically Gaussian, which was not known even for being a triangle. This addresses a question of McKay from the 2010 International Congress of Mathematicians. In fact, we prove that the behavior of the variance of the number of copies of depends in a delicate manner on the occurrence and number of cycles of length as well as paths of length in . More generally, we provide control of the asymptotic distribution of certain statistics of bounded degree which are invariant under vertex permutations, including moments of the spectrum of a random regular graph. Our techniques are based on combining complex-analytic methods due to McKay and Wormald used to enumerate regular graphs with the notion of graph factors developed by Janson in the context of studying subgraph counts in .
Cite
@article{arxiv.2209.00734,
title = {Subgraph distributions in dense random regular graphs},
author = {Ashwin Sah and Mehtaab Sawhney},
journal= {arXiv preprint arXiv:2209.00734},
year = {2023}
}