Upper tail bounds for cycles
Abstract
This paper examines bounds on upper tails for cycle counts in . For a fixed graph define to be the number of copies of in . It is a much studied and surprisingly difficult problem to understand the upper tail of the distribution of , for example, to estimate \begin{equation*} \mathbb{P}(\xi_H > 2 \mathbb{E}\xi_H). \end{equation*} The best known result for general and is due to Janson, Oleszkiewicz, and Ruci\'nski, who, in 2004, proved \begin{align}\label{a:JOR} \exp[-O_{H, \eta}(M_H(n,p) \ln(1/p))]&<\mathbb{P}(\xi_H > (1+\eta)\mathbb{E} \xi_H)\\&<\exp[-\Omega_{H, \eta}(M_{H}(n,p))].\nonumber \end{align} Thus they determined the upper tail up to a factor of in the exponent. There has since been substantial work to improve these bounds for particular and . We close the gap for cycles, up to a constant in the exponent. Here the lower bound given by JOR is the truth for -cycles when .
Keywords
Cite
@article{arxiv.1903.07488,
title = {Upper tail bounds for cycles},
author = {Abigail Raz},
journal= {arXiv preprint arXiv:1903.07488},
year = {2019}
}