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Numerical methods and programming, 2020, Volume 21, Issue 2, Pages 172–179
DOI: https://doi.org/10.26089/NumMet.v21r215
(Mi vmp1001)
 

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

Numerical modeling of statistical moments in a galactic dynamo problem with nonlinearity

D. A. Grachev, S. A. Elistratov

Faculty of Physics, Lomonosov Moscow State University
Full-text PDF (493 kB) Citations (1)
Abstract: In this paper we consider a nonlinear modification of a stochastic model of the galactic dynamo in which the coefficient of turbulent diffusion is assumed to be a random process with renewal. It is shown that, in the case of small magnetic field strength, its statistical moments behave almost in the same manner as in the linear model; it is also shown that the intermittency effect exists. The characteristic time periods of moment stabilization are estimated when the magnetic field approaches its equilibrium. The numerical results obtained by averaging various samplings of its independent random implementations are compared.
Keywords: galactic dynamo; magnetic field; equations with random coefficients; statistical moment.
Received: 30.06.2020
UDC: 519.246.8
Language: Russian
Citation: D. A. Grachev, S. A. Elistratov, “Numerical modeling of statistical moments in a galactic dynamo problem with nonlinearity”, Num. Meth. Prog., 21:2 (2020), 172–179
Citation in format AMSBIB
\Bibitem{GraEli20}
\by D.~A.~Grachev, S.~A.~Elistratov
\paper Numerical modeling of statistical moments in a galactic dynamo problem with nonlinearity
\jour Num. Meth. Prog.
\yr 2020
\vol 21
\issue 2
\pages 172--179
\mathnet{http://mi.mathnet.ru/vmp1001}
\crossref{https://doi.org/10.26089/NumMet.v21r215}
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  • This publication is cited in the following 1 articles:
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    Numerical methods and programming
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