Spectral methods for limit theorems for random expanding transformations

Fuente: arXiv
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Main Author: Hafouta, Yeor
Format: Preprint
Published: 2023
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author Hafouta, Yeor
author_facet Hafouta, Yeor
contents We extend the spectral method for proving limit theorems to random non-uniformly expanding dynamical systems. This yields the CLT and moderate deviations principles (MDP). We show that as the amount of non-uniformity decreases the CLT rates and the speed in the MDP become closer to the optimal ones. For smooth systems the rates are effective. Compared to recent progress on the subject [34] we are able to consider much more general maps, Gibbs measures and observables. However, our main results are new even in the setup of [34].
format Preprint
id arxiv_https___arxiv_org_abs_2311_12950
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Spectral methods for limit theorems for random expanding transformations
Hafouta, Yeor
Dynamical Systems
Probability
We extend the spectral method for proving limit theorems to random non-uniformly expanding dynamical systems. This yields the CLT and moderate deviations principles (MDP). We show that as the amount of non-uniformity decreases the CLT rates and the speed in the MDP become closer to the optimal ones. For smooth systems the rates are effective. Compared to recent progress on the subject [34] we are able to consider much more general maps, Gibbs measures and observables. However, our main results are new even in the setup of [34].
title Spectral methods for limit theorems for random expanding transformations
topic Dynamical Systems
Probability
url https://arxiv.org/abs/2311.12950