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JOURNALS // Izvestiya VUZ. Applied Nonlinear Dynamics // Archive

Izvestiya VUZ. Applied Nonlinear Dynamics, 2025 Volume 33, Issue 4, Pages 435–465 (Mi ivp656)

BIFURCATION IN DYNAMICAL SYSTEMS. DETERMINISTIC CHAOS. QUANTUM CHAOS

A method for constructing a complete bifurcation picture of a boundary value problem for nonlinear partial differential equations: application of the Kolmogorov-Arnold theorem

V. A. Gromov, Yu. N. Beschastnov, K. K. Tomashchuk, A. A. Sidorenko, V. V. Kakurin

National Research University Higher School of Economics, Moscow

Abstract: The purpose of this study is to develop a numerical method for bifurcation analysis of nonlinear partial differential equations, based on the reduction of partial differential equations to ordinary ones, using the Kolmogorov-Arnold theorem. Methods. This paper describes a method for reducing partial differential equations to ordinary ones using the Kolmogorov-Arnold theorem, as well as methods for the bifurcation analysis of nonlinear boundary value problems for ordinary differential equations. Results. The paper presents a new method for solving and bifurcation analysis of nonlinear boundary value problems for partial differential equations, which allow variational formulation. The method was applied to a nonlinear two-dimensional Bratu problem with Dirichlettype boundary conditions. Conclusion. A new method of bifurcation analysis for nonlinear partial differential equations has been developed. Specifically, a method has been proposed for reducing partial different equations to ordinary equations, which allows the use of the developed apparatus of bifurcation analysis for boundary value problems of ordinary differential equations. This method allows conducting bifurcation analysis for arbitrary nonlinear partial differential equations.  

Keywords: bifurcation analysis, nonlinear partial differential equations, boundary value problems, KolmogorovArnold theorem.

UDC: 530.182

Received: 12.09.2024
Revised: 31.07.2025
Accepted: 24.01.2025

DOI: 10.18500/0869-6632-003160



© Steklov Math. Inst. of RAS, 2026