Random walks on hyperbolic spaces: second order expansion of the rate function at the drift
Abstract
Let be a geodesic Gromov-hyperbolic space, a basepoint and a countably supported non-elementary probability measure on . Denote by the random walk on driven by the probability measure . Supposing that has finite exponential moment, we give a second-order Taylor expansion of the large deviation rate function of the sequence and show that the corresponding coefficient is expressed by the variance in the central limit theorem satisfied by the sequence . This provides a positive answer to a question raised in \cite{BMSS}. The proof relies on the study of the Laplace transform of at the origin using a martingale decomposition first introduced by Benoist--Quint together with an exponential submartingale transform and large deviation estimates for the quadratic variation process of certain martingales.
Keywords
Cite
@article{arxiv.2112.14724,
title = {Random walks on hyperbolic spaces: second order expansion of the rate function at the drift},
author = {Richard Aoun and Pierre Mathieu and Cagri Sert},
journal= {arXiv preprint arXiv:2112.14724},
year = {2022}
}
Comments
V1-->V2 substantial changes: Moment hypothesis relaxed to exponential moment (Theorem 1.1, Proposition 2.2), Proof of Theorem 1.1 changed and separated into two parts (lower bound and upper bound), 20 pages, no figure