About Two-Dimensional QNSO

Authors

  • Khudayarov Sa’nat Samadovich Bukhara State University, Bukhara, Uzbekistan.e-mail: Bukhara Branch Institute of Mathematics named after V.I. Romanovsky of the Academy of Sciences of the Republic of Uzbekistan

Keywords:

dynamical systems, evolutionary operators, stochastic cubic matrices

Abstract

In the world, many scientific and practical problems in dynamical systems are modeled by evolutionary operators of stochastic and non-stochastic cubic matrices. In many biological and physical systems their behaviour can be given by dynamics of quadratic (non-)stochastic operators defined by cubic matrices. A quadratic stochastic process is defined by a family of cubic matrices which satisfy Kolmogorov-Chapman equation with respect to a fixed multiplication and stochastisity of such matrices. Therefore, the study of the dynamics of nonlinear operators constructed using stochastic and non-stochastic cubic matrices that preserve simplex remains one of the important and urgent tasks. In the book [12] entitled “Population dynamics: algebraic and probabilistic approach” which is written by U. A.Rozikov in 2020, the probabilistic approach part presents Markov processes of cubic stochastic (in a fixed sense) matrices (MPCSM), which are continuous-time dynamical systems, whose states are stochastic cubic matrices satisfying an analogue of the Kolmogorov-Chapman equation. MPCSM considered for two specially chosen notions of stochastic cubic matrices and two Maksimov’s multiplications of such matrices.Time-dependent behavior of such processes is given with applications to a population with the possibility of twin births

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Published

2025-06-19

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Articles

How to Cite

About Two-Dimensional QNSO. (2025). Eurasian Journal of Physics,Chemistry and Mathematics, 44, 18-22. https://geniusjournals.org/index.php/ejpcm/article/view/6932