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JOURNALS // Diskretnyi Analiz i Issledovanie Operatsii // Archive

Diskretn. Anal. Issled. Oper., 2017 Volume 24, Issue 1, Pages 97–119 (Mi da865)

This article is cited in 12 papers

Local primitivity of matrices and graphs

V. M. Fomichevab, S. N. Kyazhinbc

a Financial University under the Government of the Russian Federation, 49 Leningradsky Ave., 125993 Moscow, Russia
b National Research Nuclear University MEPhI, 31 Kashirskoe Highway, 115409 Moscow, Russia
c Special Development Center of the Ministry of Defence of the Russian Federation, 21 Svobody St., 125362 Moscow, Russia

Abstract: We develop a matrix-graph approach to the estimation of the communicative properties of a system of connected objects. In particular, this approach can be applied to analyzing the mixing properties of iterative cryptographic transformations of binary vector spaces, i.e. dependence of the output block bits on the input bits. In some applied problems, the saturation of the connections between the objects corresponds to the required level if the matrix modeling the connections or its certain submatrix is positive (the graph modeling the connections or its certain subgraph is complete). The concepts of local primitivity and local exponents of a nonnegative matrix (graph) are introduced. These concepts generalize and expand the area of application as compared to the familiar concepts of primitivity and exponent. We obtain a universal criterion for the local primitivity of a digraph and both a universal bound for the local exponents and its refinements for various particular cases. The results are applied to analyzing the mixing properties of a cryptographic generator constructed on the basis of two shift registers. Tab. 2, bibliogr. 12.

Keywords: primitive matrix, primitive graph, exponent, local primitivity of a matrix (graph), local exponent.

UDC: 519.17

Received: 07.12.2015
Revised: 09.06.2016

DOI: 10.17377/daio.2017.24.519


 English version:
Journal of Applied and Industrial Mathematics, 2017, 11:1, 26–39

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© Steklov Math. Inst. of RAS, 2024