Nonlinear large deviations
Probability
2016-05-02 v6 Combinatorics
Abstract
We present a general technique for computing large deviations of nonlinear functions of independent Bernoulli random variables. The method is applied to compute the large deviation rate functions for subgraph counts in sparse random graphs. Previous technology, based on Szemeredi's regularity lemma, works only for dense graphs. Applications are also made to exponential random graphs and three-term arithmetic progressions in random sets of integers.
Keywords
Cite
@article{arxiv.1401.3495,
title = {Nonlinear large deviations},
author = {Sourav Chatterjee and Amir Dembo},
journal= {arXiv preprint arXiv:1401.3495},
year = {2016}
}
Comments
43 pages. To appear in Adv. Math