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Teoriya Veroyatnostei i ee Primeneniya, 1971, Volume 16, Issue 1, Pages 83–92 (Mi tvp1970)  

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

A limit theorem for a characteristic of a random Boolean matrix

M. V. Kozlov

Moscow
Full-text PDF (574 kB) Citations (1)
Abstract: Let $\|a_i^j,\ i=1,\dots,k,\ j=1,\dots,n\|$, $k=[n\theta]$, $0<\theta<1$, be a Boolean matrix with mutually independent random elements $a_i^j$:
$$ \mathbf P\{a_i^j=1\}=\pi_i^j,\quad0<\pi_i^j<1. $$

We consider the minimum distance $\zeta$ of a random linear code with parity-check matrix $\|a_i^j\|$.
Theorem 1. {\it Let all $\pi_i^j\in[\delta,1-\delta]$ where $\delta$ is a fixed positive number. Then {(3)} holds uniformly for $\pi_i^j\in[\delta,1-\delta]$ and for $t$ subject to} (1), (2).
Theorem 2. (3) holds uniformly for $\pi_i^j\in[\delta_n,1-\delta_n]$ as $\delta_n\to0$, $\delta_nn/\ln n\to\infty$ and for $t$ subject to (4), (5).
Received: 30.09.1969
English version:
Theory of Probability and its Applications, 1971, Volume 16, Issue 1, Pages 91–101
DOI: https://doi.org/10.1137/1116006
Bibliographic databases:
Language: Russian
Citation: M. V. Kozlov, “A limit theorem for a characteristic of a random Boolean matrix”, Teor. Veroyatnost. i Primenen., 16:1 (1971), 83–92; Theory Probab. Appl., 16:1 (1971), 91–101
Citation in format AMSBIB
\Bibitem{Koz71}
\by M.~V.~Kozlov
\paper A~limit theorem for a~characteristic of a~random Boolean matrix
\jour Teor. Veroyatnost. i Primenen.
\yr 1971
\vol 16
\issue 1
\pages 83--92
\mathnet{http://mi.mathnet.ru/tvp1970}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=290864}
\zmath{https://zbmath.org/?q=an:0244.60027}
\transl
\jour Theory Probab. Appl.
\yr 1971
\vol 16
\issue 1
\pages 91--101
\crossref{https://doi.org/10.1137/1116006}
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  • 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
    Теория вероятностей и ее применения Theory of Probability and its Applications
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