On distributional limit laws for recurrence

Fuente: arXiv
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Main Authors: Holland, Mark, Todd, Mike
Format: Preprint
Published: 2024
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author Holland, Mark
Todd, Mike
author_facet Holland, Mark
Todd, Mike
contents For a probability measure preserving dynamical system $(\mathcal{X},f,μ)$, the Poincaré Recurrence Theorem asserts that $μ$-almost every orbit is recurrent with respect to its initial condition. This motivates study of the statistics of the process $X_n(x)=\text{dist}(f^n(x),x))$, and real-valued functions thereof. For a wide class of non-uniformly expanding dynamical systems, we show that the time-$n$ counting process $R_n(x)$ associated to the number recurrences below a certain radii sequence $r_n(τ)$ follows an \emph{averaged} Poisson distribution $G(τ)$. Furthermore, we obtain quantitative results on almost sure rates for the recurrence statistics of the process $X_n$.
format Preprint
id arxiv_https___arxiv_org_abs_2401_13300
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On distributional limit laws for recurrence
Holland, Mark
Todd, Mike
Dynamical Systems
Probability
37A50, 37B20, 60G55, 37E05, 60G70
For a probability measure preserving dynamical system $(\mathcal{X},f,μ)$, the Poincaré Recurrence Theorem asserts that $μ$-almost every orbit is recurrent with respect to its initial condition. This motivates study of the statistics of the process $X_n(x)=\text{dist}(f^n(x),x))$, and real-valued functions thereof. For a wide class of non-uniformly expanding dynamical systems, we show that the time-$n$ counting process $R_n(x)$ associated to the number recurrences below a certain radii sequence $r_n(τ)$ follows an \emph{averaged} Poisson distribution $G(τ)$. Furthermore, we obtain quantitative results on almost sure rates for the recurrence statistics of the process $X_n$.
title On distributional limit laws for recurrence
topic Dynamical Systems
Probability
37A50, 37B20, 60G55, 37E05, 60G70
url https://arxiv.org/abs/2401.13300