China
Introduction This paper focuses on the (2+1)-dimensional Maccari systemwith multiplicative Brownian noise, and conducts systematic research on the theoretical method, solution construction, nonlinear dynamics and numerical verification.
Objective To address the lack of diversity in solitarywave solutions, nonlinear dynamical analysis and high-precision numerical verification of the stochastic system, and to establish a stochastic wave model consistent with the actual physical environments.
Methodology The Jacobi Elliptic Functions (JEFs) method is adopted to solve the stochastic nonlinear partial differential system rather than the traditional extended tanh method, and the partial differential system is simplified to a system of ordinary differential equations through a traveling wave transformation. Nonlinear dynamical analysis is carried out by combining phase space trajectories, power spectral density and Lyapunov exponents. The adaptive Runge–Kutta method is used to numerically verify the Hamiltonian system.
Main Findings The JEFsmethod can generate a large number of double-periodic elliptic function wave solutions, and construct various solitary wave solutions including parabolic, needle-shaped, periodic, bright and single breather waves. The noise intensity, wave velocity, and medium characteristic parameters can effectively regulate the evolution of waveform, which is consistent with real physical multi-factor coupling scenarios. Dynamical analysis reveals the topological structure and stability of equilibrium points, and the system shows no chaotic behavior when not subjected to external excitation, whereas chaotic behavior emerges when the system is under external forcing within the investigated parameter range. The numerical solution achieves high accuracy and strictly satisfies the energy conservation property of the Hamiltonian system.
Significance This work establishes a complete research framework covering methodological innovation, solution construction and numerical verification, which breaks through the limitation of finite solution types in traditional methods for stochastic nonlinearwave equations. This study provides theoretical reference and numerical support for the analysis and application of stochastic nonlinear waves in plasma physics, nonlinear optics and fluid dynamics.
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