THE MULTIPLICATIVE INTEGRAL AND THE EVOLUTION OF THE MAGNETIC FIELD IN THE MARKOV LINEAR MODEL

The paper is devoted to the probabilistic asymptotic analysis of the magnetic field and magnetic energy in a Markov linear model of an incompressible fluid. Firstly, the paper introduces a brief history of the problem under consideration and presents the main results of the previous studies, which ultimately lead to the study of the product of independent random matrices with an increasing number of multiplicands. After that, the description of the Markov linear model considered in the paper is given, the so-called Lyapunov (generally speaking, random) bases for the multiplicative (stochastic) integral contained in the integral representation of the magnetic field are constructed. In conclusion, by decomposing the multiplicative integral over the constructed Lyapunov basis and relying on the properties of the basis, the main results - theorems on the asymptotic behavior of the magnetic field and magnetic energy - have been proven.

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Publication Details

Journal
Journal of Mathematics Mechanics and Computer Science
Published
2025-06-21
DOI
https://doi.org/10.26577/jmmcs2025126202
Primary Topic
Computational Physics and Python Applications
Type
article
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article

THE MULTIPLICATIVE INTEGRAL AND THE EVOLUTION OF THE MAGNETIC FIELD IN THE MARKOV LINEAR MODEL

Z. R. Suleimenova, Nursadyk Akanbai, Samal Tapeeva
Journal of Mathematics Mechanics and Computer Science
Computational Physics and Python Applications
article

THE MULTIPLICATIVE INTEGRAL AND THE EVOLUTION OF THE MAGNETIC FIELD IN THE MARKOV LINEAR MODEL

Z. R. Suleimenova, Nursadyk Akanbai, Samal Tapeeva
article en

Abstract

The paper is devoted to the probabilistic asymptotic analysis of the magnetic field and magnetic energy in a Markov linear model of an incompressible fluid. Firstly, the paper introduces a brief history of the problem under consideration and presents the main results of the previous studies, which ultimately lead to the study of the product of independent random matrices with an increasing number of multiplicands. After that, the description of the Markov linear model considered in the paper is given, the so-called Lyapunov (generally speaking, random) bases for the multiplicative (stochastic) integral contained in the integral representation of the magnetic field are constructed. In conclusion, by decomposing the multiplicative integral over the constructed Lyapunov basis and relying on the properties of the basis, the main results - theorems on the asymptotic behavior of the magnetic field and magnetic energy - have been proven.

Journal of Mathematics Mechanics and Computer ScienceVol. 126(2)
Al-Farabi Kazakh National University (KZ)
Openalex Percentile: Top 93%
Computational Physics and Python Applications
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