
TL;DR
This paper proves that for Gibbs-Markov maps, the number of visits to shrinking sets follows a Poisson distribution in the limit, extending classical results to a broader class of dynamical systems.
Contribution
It establishes a Poisson limit theorem for Gibbs-Markov maps, generalizing Doeblin's classical result to these systems.
Findings
Visits to shrinking sets converge to a Poisson distribution
Extension of Doeblin's Poisson limit theorem to continued fractions
Provides a new probabilistic understanding of Gibbs-Markov dynamics
Abstract
We prove for Gibbs-Markov maps that the number of visits to a sequence of shrinking sets with bounded cylindrical lengths converges in distribution to a Poisson law. Applying to continued fractions, this result extends Doeblin's Poisson limit theorem.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
