2021
DOI: 10.1088/1361-6544/ac14a1
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Almost sure invariance principle for random dynamical systems via Gouëzel's approach

Abstract: We extend the spectral approach of S Gouëzel for the vector-valued almost sure invariance principle (ASIP) to certain classes of non-stationary sequences with a weaker control over the behaviour of the covariance matrices, assuming only linear growth. Then we apply this extension to obtain a quenched vector-valued ASIP for random perturbations of a fixed Anosov diffeomorphism as well as random perturbations of a billiard map associated to the periodic Lorentz gas. We also consider certain classes of random pie… Show more

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Cited by 19 publications
(8 citation statements)
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References 59 publications
(155 reference statements)
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“…However, their results rely on a moderate deviation result for stationary Markov chains by Wu and Zhao in [36], which seems not to be available for inhomogeneous Markov chains. Moreover, Dragičević and Hafouta [14] and Hafouta [16] obtained a vector valued almost sure invariance principle for the sequential iteration of non-uniformly expanding maps. There, the authors obtain a better rate of approximation by assuming an abstract condition on the characteristic functions of the associated process.…”
Section: Dρ(ω)mentioning
confidence: 99%
“…However, their results rely on a moderate deviation result for stationary Markov chains by Wu and Zhao in [36], which seems not to be available for inhomogeneous Markov chains. Moreover, Dragičević and Hafouta [14] and Hafouta [16] obtained a vector valued almost sure invariance principle for the sequential iteration of non-uniformly expanding maps. There, the authors obtain a better rate of approximation by assuming an abstract condition on the characteristic functions of the associated process.…”
Section: Dρ(ω)mentioning
confidence: 99%
“…Until now, constrained control algorithms have been investigated by some researchers. The existing constraint control methods mainly include: set invariance principle, 13,14 command governor, 15,16 reference governor, 17,18 extremum seeking control, 19 model predictive control, 2023 etc. However, there are some limitations in these algorithms.…”
Section: Introductionmentioning
confidence: 99%
“…Since then quenched limit theorems for random dynamical systems have been extensively studied. For instance, in [16,[20][21][22] almost sure invariance principle (ASIP, an almost sure approximation by a sum of independent Gaussians) was established for random expanding or hyperbolic maps T ω , in [19,31] Berry-Esseen theorems (optimal rates in the CLT) were obtained for similar classes of maps and in [17,18,23,31] local CLTs were achieved. In addition, in [27] several limit theorems were extended to random non-uniformly hyperbolic or expanding maps.…”
mentioning
confidence: 99%