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Teoriya Veroyatnostei i ee Primeneniya, 1997, Volume 42, Issue 4, Pages 839–845
DOI: https://doi.org/10.4213/tvp2620
(Mi tvp2620)
 

This article is cited in 2 scientific papers (total in 2 papers)

Short Communications

$p$-adic behavior of Bernoulli probabilities

A. Yu. Khrennikovab

a Mathematical Institute, Bochum University, Germany
b Moscow State Institute of Electronic Technology (Technical University)
Full-text PDF (374 kB) Citations (2)
Abstract: We study the standard Bernoulli probabilistic scheme for independent random variables (the symmetric case). As usual, we are interested in limits of probabilities when the number of trails approaches infinity. However, these limits are considered with respect to the $p$-adic metric. This is a sufficiently exotic metric and it is surprising that ordinary (classical) probabilities have limits with respect to this metric. Thus we found a new asymptotic of the classical Bernoulli probabilities which was not visible before.
Keywords: Bernoulli probability, Bernoulli scheme, $p$-adic numbers, metric, binomial coefficients.
Received: 26.11.1996
English version:
Theory of Probability and its Applications, 1998, Volume 42, Issue 4, Pages 689–694
DOI: https://doi.org/10.1137/S0040585X97976581
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. Yu. Khrennikov, “$p$-adic behavior of Bernoulli probabilities”, Teor. Veroyatnost. i Primenen., 42:4 (1997), 839–845; Theory Probab. Appl., 42:4 (1998), 689–694
Citation in format AMSBIB
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\paper $p$-adic behavior of Bernoulli probabilities
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\transl
\jour Theory Probab. Appl.
\yr 1998
\vol 42
\issue 4
\pages 689--694
\crossref{https://doi.org/10.1137/S0040585X97976581}
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  • https://www.mathnet.ru/eng/tvp2620
  • https://doi.org/10.4213/tvp2620
  • https://www.mathnet.ru/eng/tvp/v42/i4/p839
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Теория вероятностей и ее применения Theory of Probability and its Applications
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