2019
DOI: 10.1090/tran/7943
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A spectral approach for quenched limit theorems for random hyperbolic dynamical systems

Abstract: We extend the recent spectral approach for quenched limit theorems developed for piecewise expanding dynamics under general random driving [9] to quenched random piecewise hyperbolic dynamics including some classes of billiards. For general ergodic sequences of maps in a neighbourhood of a hyperbolic map we prove a quenched large deviations principle (LDP), central limit theorem (CLT), and local central limit theorem (LCLT).

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Cited by 35 publications
(77 citation statements)
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“…13.] (which are precisely the same as in [8,Proposition 4.4.]). However, we stress that the corresponding almost sure invariance principle result (when restricted to scalar-valued observables) is weaker than the one established in [6, Theorem 1.…”
Section: Almost Sure Invariance Principle For Random Piecewise Expandmentioning
confidence: 85%
See 3 more Smart Citations
“…13.] (which are precisely the same as in [8,Proposition 4.4.]). However, we stress that the corresponding almost sure invariance principle result (when restricted to scalar-valued observables) is weaker than the one established in [6, Theorem 1.…”
Section: Almost Sure Invariance Principle For Random Piecewise Expandmentioning
confidence: 85%
“…Remark 1. It was pointed out in [8,Section 3] that under our assumptions, it is possible to apply the multiplicative ergodic theorem to the cocycle (L ω ) ω∈Ω . Let Y 1 (ω) denotes the Oseledets subspace corresponding that corresponds to its largest Lyapunov exponent (which is 0).…”
Section: 2mentioning
confidence: 99%
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“…In this approach, one studies the response of an appropriate equivariant family of measure to the perturbations. The interest of this approach was highlighted in the climate literature (notably [11]), but so far the mathematical results in this direction are very sparse: see [32] where the problem of quenched response in the context of random products of uniformly expanding maps is studied, or [12] where the same problem is studied for random product of (close-by) Anosov diffeomorphisms. Linear request, optimal response, numerical methods.…”
Section: Introductionmentioning
confidence: 99%