On almost-sure versions of classical limit theorems for dynamical systems

dc.creatorChazottes, J-R
dc.creatorGouezel, S
dc.date2006-01-16
dc.date2006-06-30
dc.date.accessioned2026-07-07T06:58:58Z
dc.date.available2026-07-07T06:58:58Z
dc.descriptionThe purpose of this article is to construct a toolbox, in Dynamical Systems, to support the idea that ``whenever we can prove a limit theorem in the classical sense for a dynamical system, we can prove a suitable almost-sure version based on an empirical measure with log-average''. We follow three different approaches: martingale methods, spectral methods and induction arguments. Our results apply among others to Axiom A maps or flows, to systems inducing a Gibbs-Markov map and to the stadium billiard.
dc.description41 pages; submitted v2: replaced the argument for Gibbs-Markov maps with a general spectral argument
dc.identifierhttps://arxiv.org/abs/math/0601388
dc.identifierhttp://arxiv.org/abs/math/0601388
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/107574
dc.subjectDynamical Systems
dc.subjectProbability
dc.titleOn almost-sure versions of classical limit theorems for dynamical systems
dc.typetext

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