English

Equidistribution for nonuniformly expanding dynamical systems, and application to the almost sure invariance principle

Dynamical Systems 2022-10-19 v3 Probability

Abstract

Let T ⁣:MMT \colon M \to M be a nonuniformly expanding dynamical system, such as logistic or intermittent map. Let v ⁣:MRdv \colon M \to \mathbb{R}^d be an observable and vn=k=0n1vTkv_n = \sum_{k=0}^{n-1} v \circ T^k denote the Birkhoff sums. Given a probability measure μ\mu on MM, we consider vnv_n as a discrete time random process on the probability space (M,μ)(M, \mu). In smooth ergodic theory there are various natural choices of μ\mu, such as the Lebesgue measure, or the absolutely continuous TT-invariant measure. They give rise to different random processes. We investigate relation between such processes. We show that in a large class of measures, it is possible to couple (redefine on a new probability space) every two processes so that they are almost surely close to each other, with explicit estimates of "closeness". The purpose of this work is to close a gap in the proof of the almost sure invariance principle for nonuniformly hyperbolic transformations by Melbourne and Nicol.

Keywords

Cite

@article{arxiv.1701.03652,
  title  = {Equidistribution for nonuniformly expanding dynamical systems, and application to the almost sure invariance principle},
  author = {Alexey Korepanov},
  journal= {arXiv preprint arXiv:1701.03652},
  year   = {2022}
}