Stable laws for random dynamical systems

Fuente: arXiv
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Autori principali: Aimino, Romain, Nicol, Matthew, Török, Andrew
Natura: Preprint
Pubblicazione: 2022
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author Aimino, Romain
Nicol, Matthew
Török, Andrew
author_facet Aimino, Romain
Nicol, Matthew
Török, Andrew
contents In this paper we consider random dynamical systems formed by concatenating maps acting on the unit interval $[0,1]$ in an iid fashion. Considered as a stationary Markov process, the random dynamical system possesses a unique stationary measure $ν$. We consider a class of non square-integrable observables $ϕ$, mostly of form $ϕ(x)=d(x,x_0)^{-\frac{1}α}$ where $x_0$ is non-periodic point satisfying some other genericity conditions, and more generally regularly varying observables with index $α\in (0,2)$. The two types of maps we concatenate are a class of piecewise $C^2$ expanding maps, and a class of intermittent maps possessing an indifferent fixed point at the origin. Under conditions on the dynamics and $α$ we establish Poisson limit laws, convergence of scaled Birkhoff sums to a stable limit law and functional stable limit laws, in both the annealed and quenched case. The scaling constants for the limit laws for almost every quenched realization are the same as those of the annealed case and determined by $ν$. This is in contrast to the scalings in quenched central limit theorems where the centering constants depend in a critical way upon the realization and are not the same for almost every realization.
format Preprint
id arxiv_https___arxiv_org_abs_2204_07814
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Stable laws for random dynamical systems
Aimino, Romain
Nicol, Matthew
Török, Andrew
Dynamical Systems
Chaotic Dynamics
37A50, 37H99 (Primary), 60F05 (Secondary)
In this paper we consider random dynamical systems formed by concatenating maps acting on the unit interval $[0,1]$ in an iid fashion. Considered as a stationary Markov process, the random dynamical system possesses a unique stationary measure $ν$. We consider a class of non square-integrable observables $ϕ$, mostly of form $ϕ(x)=d(x,x_0)^{-\frac{1}α}$ where $x_0$ is non-periodic point satisfying some other genericity conditions, and more generally regularly varying observables with index $α\in (0,2)$. The two types of maps we concatenate are a class of piecewise $C^2$ expanding maps, and a class of intermittent maps possessing an indifferent fixed point at the origin. Under conditions on the dynamics and $α$ we establish Poisson limit laws, convergence of scaled Birkhoff sums to a stable limit law and functional stable limit laws, in both the annealed and quenched case. The scaling constants for the limit laws for almost every quenched realization are the same as those of the annealed case and determined by $ν$. This is in contrast to the scalings in quenched central limit theorems where the centering constants depend in a critical way upon the realization and are not the same for almost every realization.
title Stable laws for random dynamical systems
topic Dynamical Systems
Chaotic Dynamics
37A50, 37H99 (Primary), 60F05 (Secondary)
url https://arxiv.org/abs/2204.07814