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Teoriya Veroyatnostei i ee Primeneniya, 2004, Volume 49, Issue 3, Pages 596–601
DOI: https://doi.org/10.4213/tvp210
(Mi tvp210)
 

This article is cited in 14 scientific papers (total in 14 papers)

Short Communications

On the Skitovich–Darmois theorem for discrete abelian groups

G. M. Feldmana, P. Graczykb

a B. Verkin Institute for Low Temperature Physics and Engineering, National Academy of Sciences of Ukraine
b Département de Mathématiques, Université d'Angers
References:
Abstract: The following theorem is proved: Let $X$ be a discrete countable Abelian group, let $\xi_1,\xi_2$ be independent random variables with values in the group $X$ and with distributions $\mu_1,\mu_2$, and let $\alpha_j,\beta_j$, $j=1, 2$, be automorphisms of the group $X$. Then the independence of the linear statistics $L_1=\alpha_1\xi_1 + \alpha_2\xi_2$ and $L_2=\beta_1\xi_1 + \beta_2\xi_2$ implies that $\mu_1$ and $\mu_2$ are idempotent distributions.
Keywords: independent linear statistics, discrete Abelian group, Skitovich–Darmois theorem.
Received: 11.06.2002
English version:
Theory of Probability and its Applications, 2005, Volume 49, Issue 3, Pages 527–531
DOI: https://doi.org/10.1137/S0040585X97981238
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: G. M. Feldman, P. Graczyk, “On the Skitovich–Darmois theorem for discrete abelian groups”, Teor. Veroyatnost. i Primenen., 49:3 (2004), 596–601; Theory Probab. Appl., 49:3 (2005), 527–531
Citation in format AMSBIB
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\paper On the Skitovich--Darmois theorem for discrete abelian groups
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\issue 3
\pages 596--601
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\zmath{https://zbmath.org/?q=an:1094.60003}
\transl
\jour Theory Probab. Appl.
\yr 2005
\vol 49
\issue 3
\pages 527--531
\crossref{https://doi.org/10.1137/S0040585X97981238}
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  • https://www.mathnet.ru/eng/tvp/v49/i3/p596
  • This publication is cited in the following 14 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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