Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 134 tok/s
Gemini 2.5 Pro 41 tok/s Pro
GPT-5 Medium 15 tok/s Pro
GPT-5 High 26 tok/s Pro
GPT-4o 82 tok/s Pro
Kimi K2 198 tok/s Pro
GPT OSS 120B 436 tok/s Pro
Claude Sonnet 4.5 37 tok/s Pro
2000 character limit reached

Limit Laws for Poincaré Recurrence and the Shrinking Target Problem (2510.12596v1)

Published 14 Oct 2025 in math.DS

Abstract: Let $(X,T,\mu,d)$ be a metric measure-preserving system. If $B(x,r_n(x))$ is a sequence of balls such that, for each $n$, the measure of $B(x,r_n(x))$ is constant, then we obtain a self-norming CLT for recurrence for systems satisfying a multiple decorrelation property. When $\mu$ is absolutely continuous, we obtain a distributional limit law for recurrence for the sequence of balls $B(x,r_n)$. 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.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We found no open problems mentioned in this paper.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

This paper has been mentioned in 1 tweet and received 6 likes.

Upgrade to Pro to view all of the tweets about this paper: