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POISSON GENERICITY IN NUMERATION SYSTEMS WITH EXPONENTIALLY MIXING PROBABILITIES

  • NICOLÁS ÁLVAREZ*
  • , VERÓNICA BECHER
  • , EDA CESARATTO
  • , MARTÍN MEREB
  • , YUVAL PERES
  • , BENJAMIN WEISS
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

We define Poisson genericity for infinite sequences in any countable alphabet with an invariant exponentially ψ -mixing probability measure. A sequence is Poisson generic if the number of occurrences of blocks of symbols asymptotically follows a Poisson law as the block length increases. We prove that almost all sequences are Poisson generic. Our result generalizes Peres and Weiss' theorem about Poisson genericity of integer bases numeration systems. In particular, we obtain that the continued fraction expansions of almost all real numbers are Poisson generic.

Original languageEnglish
Pages (from-to)3403-3423
Number of pages21
JournalTransactions of the American Mathematical Society
Volume379
Issue number5
DOIs
StatePublished - May 2026
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2025 by the authors

Keywords

  • Chen-Stein method
  • Numeration systems
  • Poisson processes
  • concentration inequalities

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