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The novel stochastic solutions for the Maccari system driven by Wiener perturbations

  • Published: 02 March 2026
  • MSC : 35C07, 60H15, 35Q55, 35Q70

  • In this paper, we look at novel stochastic solutions for the coupled Maccari system through the Wiener process. The incorporation of random perturbations provides a rigorous framework for modeling physically relevant phenomena in which noise-induced effects play a significant role. Such effects naturally arise in a wide range of applications, including signal propagation in optical fibers, plasma dynamics, and the evolution of fluid interfaces, where stochastic fluctuations can substantially influence the system behavior. To generate explicit analytical solitary wave solutions, we use the extended tanh function method (ETFM), which allows for the systematic derivation of accurate stochastic wave structures, such as soliton-like, blow up, periodic, and rational-type solutions under stochastic influence. To illustrate the propagation behavior of solitary waves in the stochastic Maccari model, 2D graphical representations of selected solutions were generated using MATLAB software. The obtained solutions demonstrate complex interactions between deterministic nonlinear dynamics and stochastic fluctuations, shedding light on the modulation and stability of wave propagation in noisy environments. These discoveries not only contribute to a better theoretical understanding of stochastic nonlinear systems, but they also have potential applications in sectors where random disturbances have a large impact on wave evolution.

    Citation: Hesham G. Abdelwahed, Mahmoud A. E. Abdelrahman. The novel stochastic solutions for the Maccari system driven by Wiener perturbations[J]. AIMS Mathematics, 2026, 11(3): 5365-5378. doi: 10.3934/math.2026221

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  • In this paper, we look at novel stochastic solutions for the coupled Maccari system through the Wiener process. The incorporation of random perturbations provides a rigorous framework for modeling physically relevant phenomena in which noise-induced effects play a significant role. Such effects naturally arise in a wide range of applications, including signal propagation in optical fibers, plasma dynamics, and the evolution of fluid interfaces, where stochastic fluctuations can substantially influence the system behavior. To generate explicit analytical solitary wave solutions, we use the extended tanh function method (ETFM), which allows for the systematic derivation of accurate stochastic wave structures, such as soliton-like, blow up, periodic, and rational-type solutions under stochastic influence. To illustrate the propagation behavior of solitary waves in the stochastic Maccari model, 2D graphical representations of selected solutions were generated using MATLAB software. The obtained solutions demonstrate complex interactions between deterministic nonlinear dynamics and stochastic fluctuations, shedding light on the modulation and stability of wave propagation in noisy environments. These discoveries not only contribute to a better theoretical understanding of stochastic nonlinear systems, but they also have potential applications in sectors where random disturbances have a large impact on wave evolution.



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