<p>This study comprises the stochastic Kakutani-Matsuuchi model (SKMM) subjected to multiplicative Itô noise, a framework that captures random environmental effects in nonlinear dispersive media such as plasma channels, optical fibers, and quantum–fluid interfaces. By utilizing the modified Sardar sub-equation method, a diverse set of closed-form stochastic wave structures is extracted, involving bright, dark, combo, periodic, bell-shaped, and mixed-type solitary excitations. These solutions offer insight into how stochastic fluctuations deform coherent wave patterns and influence energy transport in strongly nonlinear systems. Beyond the construction of exact solutions, the work delivers an extensive dynamical analysis of both the perturbed and non-perturbed stochastic Kakutani-Matsuuchi model. Using bifurcation theory, phase-portrait topology, return maps, Poincaré sections, Lyapunov exponents, power spectral densities, sensitivity diagrams, and multistability exploration, the study reveals transitions between periodic, quasi-periodic, and fully chaotic regimes. The stochastic perturbation is shown to induce complex resonant oscillations, improve instability thresholds, and generate broadband chaotic signatures. The findings emphasize the dual mathematical and physical relevance of the proposed model: it serves as a flexible prototype for comprehending stochastic dispersion–nonlinearity competition, and it offers a computational platform for predicting coherence loss and irregular wave propagation in quantum-physical and engineering applications. The combination of an enriched solution set and a comprehensive nonlinear dynamical investigation establishes this work as a substantial advancement over existing analytical and stochastic studies of associated models.</p>

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Stochastic Solitary Waves and Noise-Driven Chaotic Transitions in the Kakutani–Matsuuchi Model: A Dynamical Perspective

  • Mati ur Rahman,
  • Sonia Akram

摘要

This study comprises the stochastic Kakutani-Matsuuchi model (SKMM) subjected to multiplicative Itô noise, a framework that captures random environmental effects in nonlinear dispersive media such as plasma channels, optical fibers, and quantum–fluid interfaces. By utilizing the modified Sardar sub-equation method, a diverse set of closed-form stochastic wave structures is extracted, involving bright, dark, combo, periodic, bell-shaped, and mixed-type solitary excitations. These solutions offer insight into how stochastic fluctuations deform coherent wave patterns and influence energy transport in strongly nonlinear systems. Beyond the construction of exact solutions, the work delivers an extensive dynamical analysis of both the perturbed and non-perturbed stochastic Kakutani-Matsuuchi model. Using bifurcation theory, phase-portrait topology, return maps, Poincaré sections, Lyapunov exponents, power spectral densities, sensitivity diagrams, and multistability exploration, the study reveals transitions between periodic, quasi-periodic, and fully chaotic regimes. The stochastic perturbation is shown to induce complex resonant oscillations, improve instability thresholds, and generate broadband chaotic signatures. The findings emphasize the dual mathematical and physical relevance of the proposed model: it serves as a flexible prototype for comprehending stochastic dispersion–nonlinearity competition, and it offers a computational platform for predicting coherence loss and irregular wave propagation in quantum-physical and engineering applications. The combination of an enriched solution set and a comprehensive nonlinear dynamical investigation establishes this work as a substantial advancement over existing analytical and stochastic studies of associated models.