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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
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
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
Linking options:
https://www.mathnet.ru/eng/mvk340https://doi.org/10.4213/mvk340 https://www.mathnet.ru/eng/mvk/v11/i4/p77
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