Poisson genericity in numeration systems with exponentially mixing probabilities

Fuente: arXiv
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Autori principali: Álvarez, Nicolás, Becher, Verónica, Cesaratto, Eda, Mereb, Martín, Peres, Yuval, Weiss, Benjamin
Natura: Preprint
Pubblicazione: 2024
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author Álvarez, Nicolás
Becher, Verónica
Cesaratto, Eda
Mereb, Martín
Peres, Yuval
Weiss, Benjamin
author_facet Álvarez, Nicolás
Becher, Verónica
Cesaratto, Eda
Mereb, Martín
Peres, Yuval
Weiss, Benjamin
contents We define Poisson genericity for infinite sequences in any finite or countable alphabet with an invariant exponentially-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 integral bases numeration systems. In particular, we obtain that their continued fraction expansions for almost all real numbers are Poisson generic.
format Preprint
id arxiv_https___arxiv_org_abs_2411_04116
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Poisson genericity in numeration systems with exponentially mixing probabilities
Álvarez, Nicolás
Becher, Verónica
Cesaratto, Eda
Mereb, Martín
Peres, Yuval
Weiss, Benjamin
Probability
Number Theory
60g55, 11k16
We define Poisson genericity for infinite sequences in any finite or countable alphabet with an invariant exponentially-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 integral bases numeration systems. In particular, we obtain that their continued fraction expansions for almost all real numbers are Poisson generic.
title Poisson genericity in numeration systems with exponentially mixing probabilities
topic Probability
Number Theory
60g55, 11k16
url https://arxiv.org/abs/2411.04116