A pointwise ergodic theorem along return times of rapidly mixing systems

Abstract We introduce a new class of sparse sequences that are ergodic and pointwise universally ‐good for ergodic averages; that is, sequences along which the ergodic averages converge almost surely to the projection to invariant functions. These sequences are generated randomly as return or hitting times in systems exhibiting a rapid correlation decay. This can be seen as a natural variant of Bourgain's return times theorem. For example, we obtain that for any , the sequence is ergodic and pointwise universally ‐good for Lebesgue almost every . Our approach builds on techniques developed by Frantzikinakis, Lesigne and Wierdl in their study of sequences generated by independent random variables, which we adapt to the non‐independent case.

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Publication Details

Journal
Bulletin of the London Mathematical Society
Published
2025-09-01
DOI
https://doi.org/10.1112/blms.70184
Citations
1
Primary Topic
Mathematical Dynamics and Fractals
Type
article
Field-Weighted Citation Impact
3.69

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article

A pointwise ergodic theorem along return times of rapidly mixing systems

Alejandro Maass, Sebastián Donoso, Vicente Saavedra‐Araya
1 citations
Bulletin of the London Mathematical Society
Mathematical Dynamics and Fractals
3.69
article

A pointwise ergodic theorem along return times of rapidly mixing systems

Alejandro Maass, Sebastián Donoso, Vicente Saavedra‐Araya
article en
1 citations

Abstract

Abstract We introduce a new class of sparse sequences that are ergodic and pointwise universally ‐good for ergodic averages; that is, sequences along which the ergodic averages converge almost surely to the projection to invariant functions. These sequences are generated randomly as return or hitting times in systems exhibiting a rapid correlation decay. This can be seen as a natural variant of Bourgain's return times theorem. For example, we obtain that for any , the sequence is ergodic and pointwise universally ‐good for Lebesgue almost every . Our approach builds on techniques developed by Frantzikinakis, Lesigne and Wierdl in their study of sequences generated by independent random variables, which we adapt to the non‐independent case.

Bulletin of the London Mathematical SocietyVol. 57(12)
Universidad de Santiago de Chile (CL), Millennium Science Initiative (CL), University of Warwick (GB), Millennium Institute on Immunology and Immunotherapy (CL), Millennium Institute for Integrative Biology (CL), University of Chile (CL)
Institut Català de Nanociència i Nanotecnologia, Agencia Nacional de Investigación y Desarrollo
Openalex Percentile: Top 8%
Mathematical Dynamics and Fractals
3.69
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