2021
DOI: 10.48550/arxiv.2105.00548
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Quenched limit theorems for expanding on average cocycles

Abstract: We prove quenched versions of a central limit theorem, a large deviations principle as well as a local central limit theorem for expanding on average cocycles. This is achieved by building an appropriate modification of the spectral method for nonautonomous dynamics developed by Dragičević et al. (Comm Math Phys 360: 1121-1187, to deal with the case of random dynamics that exhibits nonuniform decay of correlations, which are ubiquitous in the context of the multiplicative ergodic theory. Our results provide an… Show more

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Cited by 2 publications
(13 citation statements)
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“…For this purpose, we formulate an abstract linear response result for random dynamical systems (see Theorem 11), and afterwards (see Section 4) verify all of its assumptions in the case of parameterized smooth expanding on average cocycles. In sharp contrast with the previously discussed results in [19,23,34], our approach deal with systems exhibiting nonuniform decay of correlations.…”
Section: Contributions Of the Present Papermentioning
confidence: 98%
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“…For this purpose, we formulate an abstract linear response result for random dynamical systems (see Theorem 11), and afterwards (see Section 4) verify all of its assumptions in the case of parameterized smooth expanding on average cocycles. In sharp contrast with the previously discussed results in [19,23,34], our approach deal with systems exhibiting nonuniform decay of correlations.…”
Section: Contributions Of the Present Papermentioning
confidence: 98%
“…Quenched statistical stability (i.e. continuity, in a suitable sense, of the map ε → h ω,ε in ε = 0) has been studied for some time: see, e.g., [13] for random subshift of finite type, [9] for smooth expanding maps, [18,23] for Anosov systems. Closer to the focus of the present paper, quenched statistical stability for an expanding on average cocycles of piecewise expanding systems, exhibiting non-uniform decay of correlations (as considered by Buzzi [17]) was established in [25].…”
Section: Linear Response For Deterministic and Random Dynamical Systemsmentioning
confidence: 99%
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