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ANALYSIS OF A DENSITY-DEPENDENT MULTIDIMENSIONAL CROSS-DIFFUSION MODEL WITH NONLINEAR BOUNDARY CONDITIONS

Зафар РахмоновDepartment of Applied Mathematics and Computer Analysis, National University of Uzbekistan, Tashkent,100174, UzbekistanJasur UrunbaevDepartment of Modeling of complex systems, Digital technologies and artificial intelligence research institute, Tashkent,100125, Uzbekistan. Departments Software Engineering, Samarkand State University, Samarkand, 140100, UzbekistanAkmal JonievDepartment of Engineering Communications, Zarmed University, Samarkand, 140100, Uzbekistan
2025
ABI

Annotatsiya

Recently, the cross-diffusion problem has gained importance in solving problems of mathematical modelling of complex processes such as population dynamics, diffusion in multiphase media and reaction-diffusion systems and therefore has attracted considerable attention. Studies have shown that cross-diffusion elements in models can significantly change the qualitative and quantitative properties of solutions. However, many aspects of solutions, especially nonlinear boundary value problems, have not been sufficiently studied, which requires further and more in-depth study of these issues and creates the need for a more in-depth theoretical analysis. Based on the above considerations, the objective of this study is to formulate and analyse the scientific problem associated with the dynamic behaviour of the cross-diffusion problem based on the conditions of existence and non-existence of a global solution and the influence of boundary and parametric conditions on solutions based on self-similar analysis. The research methodology is based on the use of a self-similar approach, which allows simplifying the system of differential equations by introducing variables that are invariant with respect to changes in measurements. The main conclusion of the work is that the use of self-similar variables not only significantly simplifies the study of complex cross-diffusion models but also allows us to obtain important information about the stability limits of solutions.

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