We prove quenched versions of (i) a large deviations principle (LDP), (ii) a central limit theorem (CLT), and (iii) a local central limit theorem (LCLT) for non-autonomous dynamical systems. A key advance is the extension of the spectral method, commonly used in limit laws for deterministic maps, to the general random setting. We achieve this via multiplicative ergodic theory and the development of a general framework to control the regularity of Lyapunov exponents of twisted transfer operator cocycles with respect to a twist parameter. While some versions of the LDP and CLT have previously been proved with other techniques, the local central limit theorem is, to our knowledge, a completely new result, and one that demonstrates the strength of our method. Applications include non-autonomous (piecewise) expanding maps, defined by random compositions of the form T σ n−1 ω • · · · • T σω • T ω . An important aspect of our results is that we only assume ergodicity and invertibility of the random driving σ : Ω → Ω; in particular no expansivity or mixing properties are required.
We obtain a quenched vector-valued almost sure invariance principle (ASIP) for large classes of random dynamical systems exhibiting some degree of hyperbolicity. More precisely, we consider random perturbations of a fixed Anosov diffeomorphism as well as random perturbations of a billiard map associated to the periodic Lorentz gas. We also deal with wide classes of piecewise expanding maps both in one and higher dimensions. Our proofs are based on a modification of the spectral method for establishing ASIP introduced by S. Gouëzel. Finally, by using martingale techniques, we revisit the quenched scalar-valued ASIP for random piecewise-expanding dynamics and improve the known error estimates.
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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