A many-loci nonlinear dynamical system characterized by uncountable linear operators

This paper investigates the dynamics of a multi-locus biological system. The evolution of such a system is described by a (nonlinear) quadratic stochastic operator (QSO) defined on a simplex. We demonstrate that this QSO can be decomposed into an infinite series of linear operators, each of which maps certain invariant subsets of the simplex to themselves. Furthermore, the entire simplex is the union of these invariant subsets, enabling analytical examination of the dynamical systems produced by the QSO. Finding all limit points of the dynamical system generated by the QSO in terms of the limit points of the linear operators, we provide a comprehensive characterization of the many-loci population dynamics.

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Publication Details

Journal
International Journal of Biomathematics
Published
2025-04-05
DOI
https://doi.org/10.1142/s1793524525500329
Primary Topic
Gene Regulatory Network Analysis
Type
article
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article

A many-loci nonlinear dynamical system characterized by uncountable linear operators

U. A. Rozikov, B. A. Omirov
International Journal of Biomathematics
Gene Regulatory Network Analysis
article

A many-loci nonlinear dynamical system characterized by uncountable linear operators

U. A. Rozikov, B. A. Omirov
article en

Abstract

This paper investigates the dynamics of a multi-locus biological system. The evolution of such a system is described by a (nonlinear) quadratic stochastic operator (QSO) defined on a simplex. We demonstrate that this QSO can be decomposed into an infinite series of linear operators, each of which maps certain invariant subsets of the simplex to themselves. Furthermore, the entire simplex is the union of these invariant subsets, enabling analytical examination of the dynamical systems produced by the QSO. Finding all limit points of the dynamical system generated by the QSO in terms of the limit points of the linear operators, we provide a comprehensive characterization of the many-loci population dynamics.

International Journal of Biomathematics
Academy of Sciences Republic of Uzbekistan (UZ), Harbin Institute of Technology (CN), Suzhou Research Institute (CN), Karshi State University (UZ), National University of Uzbekistan (UZ)
Openalex Percentile: Top 94%
Gene Regulatory Network Analysis
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