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Matematicheskie Voprosy Kriptografii [Mathematical Aspects of Cryptography], 2020, Volume 11, Issue 4, Pages 77–96
DOI: https://doi.org/10.4213/mvk340
(Mi mvk340)
 

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

Limit theorems on the normal distribution for the number of solutions of nonlinear inclusions

V. A. Kopytcev

Academy of Cryptography of the Russian Federation, Moscow
Full-text PDF (438 kB) Citations (1)
References:
Abstract: For a given subset $B$ of linear space $K^T$ over the field $K=GF(2)$ we study the distribution of the number $\xi$ of solutions of the system formed by inclusions $A_1x+A_2f(x)\in B$, $ x\in K^n\backslash \{0^n\}$, where $A_1$ and $A_2$ are random $T\times n$ and $T\times m$ matrices over $K$ with independend elements and $f(x)=$ $(f_1 (x),\ldots,f_m (x))\colon K^{n}\longrightarrow K^{m}$ is a given nonlinear mapping. Sufficient conditions for the convergence of distribution of $\xi$ to the standard normal distribution are obtained.
Key words: random inclusions, number of solutions, asymptotic normality.
Received 12.II.2020
Document Type: Article
UDC: 519.212.2+514.214
Language: Russian
Citation: V. A. Kopytcev, “Limit theorems on the normal distribution for the number of solutions of nonlinear inclusions”, Mat. Vopr. Kriptogr., 11:4 (2020), 77–96
Citation in format AMSBIB
\Bibitem{Kop20}
\by V.~A.~Kopytcev
\paper Limit theorems on the normal distribution for the number of solutions of nonlinear inclusions
\jour Mat. Vopr. Kriptogr.
\yr 2020
\vol 11
\issue 4
\pages 77--96
\mathnet{http://mi.mathnet.ru/mvk340}
\crossref{https://doi.org/10.4213/mvk340}
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  • https://doi.org/10.4213/mvk340
  • https://www.mathnet.ru/eng/mvk/v11/i4/p77
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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