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Diskretnaya Matematika, 1997, Volume 9, Issue 3, Pages 20–35
DOI: https://doi.org/10.4213/dm489
(Mi dm489)
 

This article is cited in 1 scientific paper (total in 1 paper)

Probability distributions on a linear vector space over a Galois field and on sets of permutations

V. N. Sachkov
Abstract: We give the exact and limit distributions of the number of vectors from a union of subspaces of the $n$-dimensional vector space $V_n$ over the Galois field $GF(q)$ which enter into a random set of $d$, $1\le d\le n$, linearly independent vectors of this space. We prove that the random variable equal to the number of positions of a random equiprobable permutation which are non-discordant to a $d$-restriction of $m$ pairwise discordant permutations of degree $n$ has in limit, as $n\to\infty$ and $m$ is fixed, the Poisson distribution with parameter $m$. As a consequence we obtain a simple proof of the asymptotic formula for the number of $m\times n$ Latin rectangles where $m$ is fixed and $n\to\infty$.
Received: 11.03.1997
Bibliographic databases:
UDC: 519.2
Language: Russian
Citation: V. N. Sachkov, “Probability distributions on a linear vector space over a Galois field and on sets of permutations”, Diskr. Mat., 9:3 (1997), 20–35; Discrete Math. Appl., 7:4 (1997), 327–343
Citation in format AMSBIB
\Bibitem{Sac97}
\by V.~N.~Sachkov
\paper Probability distributions on a linear vector space over a Galois field and on sets of permutations
\jour Diskr. Mat.
\yr 1997
\vol 9
\issue 3
\pages 20--35
\mathnet{http://mi.mathnet.ru/dm489}
\crossref{https://doi.org/10.4213/dm489}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=1485646}
\zmath{https://zbmath.org/?q=an:0969.60018}
\transl
\jour Discrete Math. Appl.
\yr 1997
\vol 7
\issue 4
\pages 327--343
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  • https://www.mathnet.ru/eng/dm/v9/i3/p20
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Дискретная математика
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