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Problems in the statistical theory of open systems: Criteria for the relative degree of order in self-organization processes


Lomonosov Moscow State University, Faculty of Physics, Leninskie Gory 1 build. 2, Moscow, 119991, Russian Federation

The aim of this paper is to examine two problems in the statistical theory of open systems, namely, (1) the connection between statistical and dynamic descriptions of motion in open systems, and the constructive positive role of dynamic instability in atomic motion as a basis for kinetic equations and (2) the different criteria for the relative degree of order in nonequilibrium states of open systems, namely, K-entropy, the Lyapunov function, and the Boltzmann--Gibbs--Shannon entropy renormalized to given mean effective energy (S-theorem). It is shown that the S-theorem can be used to determine the relative degree of order from experimental data on empirical realizations of leading characteristics for different values of control parameters.

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Fulltext is also available at DOI: 10.1070/PU1989v032n05ABEH002717
PACS: 05.40.Jc, 05.70.Ln, 05.70.Ce, 05.45.Xt (all)
DOI: 10.1070/PU1989v032n05ABEH002717
URL: https://ufn.ru/en/articles/1989/5/b/
Citation: Klimontovich Yu L "Problems in the statistical theory of open systems: Criteria for the relative degree of order in self-organization processes" Sov. Phys. Usp. 32 416–433 (1989)
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Оригинал: Климонтович Ю Л «Проблемы статистической теории открытых систем: критерии относительной степени упорядоченности состояний в процессах самоорганизации» УФН 158 59–91 (1989); DOI: 10.3367/UFNr.0158.198905b.0059

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