Limit Laws for Poincar\'e Recurrence and the Shrinking Target Problem
Abstract
Let be a metric measure-preserving system. If is a sequence of balls such that, for each , the measure of is constant, then we obtain a self-norming CLT for recurrence for systems satisfying a multiple decorrelation property. When is absolutely continuous, we obtain a distributional limit law for recurrence for the sequence of balls . In the latter case, the density of the limiting distribution is an average over Gaussian densities. An important assumption in the CLT for recurrence is that the CLT holds for the shrinking target problem. Because of this, we also prove an ASIP for expanding and Axiom A systems for non-autonomous H\"older observables and apply it to the shrinking target problem, thereby obtaining a CLT.
Cite
@article{arxiv.2510.12596,
title = {Limit Laws for Poincar\'e Recurrence and the Shrinking Target Problem},
author = {Alejandro Rodriguez Sponheimer},
journal= {arXiv preprint arXiv:2510.12596},
year = {2025}
}
Comments
63 pages, 3 figures. Added Section 9.2 on short return estimates for implicit radii. Strengthened $L^2$ condition on the density to $L^{2+\varepsilon}$ in Corollary 2.1 and Lemma 3.6