2018
DOI: 10.1142/s0219493718500272
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Almost sure mixing rates for non-uniformly expanding maps

Abstract: We consider random perturbations of non-uniformly expanding maps, possibly having a non-degenerate critical set. We prove that, if the Lebesgue measure of the set of points failing the non-uniform expansion or the slow recurrence to the critical set at a certain time, for almost all random orbits, decays in a (stretched) exponential fashion, then the decay of correlations along random orbits is stretched exponential, up to some waiting time. As applications, we obtain almost sure stretched exponential decay of… Show more

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Cited by 8 publications
(6 citation statements)
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“…Recently, there has been a significant interest in obtaining probabilistic limit theorems for random dynamical systems [1,12,13,31,32,33,34,38,39,54], related time dependent systems [22,40,41,45] and for stochastic flows [30,21]. As in the case of deterministic dynamical systems, some knowledge on the correlation decay rate of the underlying system is required to obtain probabilistic limit laws for random dynamical systems.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, there has been a significant interest in obtaining probabilistic limit theorems for random dynamical systems [1,12,13,31,32,33,34,38,39,54], related time dependent systems [22,40,41,45] and for stochastic flows [30,21]. As in the case of deterministic dynamical systems, some knowledge on the correlation decay rate of the underlying system is required to obtain probabilistic limit laws for random dynamical systems.…”
Section: Introductionmentioning
confidence: 99%
“…This appendix is based on the work and results of [9,14]. See also the related work of [6,16] on random towers. Using the notation and definitions in Section 3, we can introduce a random tower for almost every ω as follows:…”
Section: Appendix Abstract Random Towers With Exponential Tailsmentioning
confidence: 99%
“…This appendix is based on the work and results of [8,13]. See also the related work of [5,15] on random towers. Using the notation and definitions in section 3, we can introduce a random tower for almost every ω as follows:…”
Section: Appendixmentioning
confidence: 99%