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Research Article | Open Access

Bifurcation analysis and stochastic optical solutions to the stochastic nonlinear Kodama equation in nonlinear optics

Sofian T. Obeidat1Doaa Rizk2( )Wael W. Mohammed1Adel Elmandouh3,4
Department of Mathematics, College of Science, University of Ha'il, Ha'il 2440, Saudi Arabia
Department of Mathematics, College of Science, Qassim University, Saudi Arabia
Department of Mathematics and Statistics, College of Science, King Faisal University, P.O. Box 400, Al-Ahsa 31982, Saudi Arabia
Department of Mathematics, Faculty of Science, Mansoura University, Mansoura 35516, Egypt
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Abstract

We consider the stochastic nonlinear Kodama equation (SNLKE) driven by multiplicative white noise. A specific wave transformation is applied to convert this system into a one-dimensional conservative Hamiltonian system. We analyze the bifurcation of this system and present its phase portrait. Additionally, a brief description of the phase portrait is provided, along with an illustration of the phase orbit degeneracy depending on the bifurcation parameter. Bifurcation allows us to deduce that changing the parameter values can have a substantial influence on nonlinear optics and mathematical physics as well as the dynamics of the optical soliton solutions of the Kodama equation. Using the conserved quantity, we derive new traveling wave solutions for the SNLKE. In the absence of noise, we recover certain wave solutions for the deterministic case. Furthermore, we examine the influence of multiplicative white noise on the exact solutions of the SNLKE, with some of the obtained solutions visualized graphically.

CLC number: 35A20, 35Q51, 60H10, 60H15

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AIMS Mathematics
Pages 11111-11130

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Cite this article:
Obeidat ST, Rizk D, Mohammed WW, et al. Bifurcation analysis and stochastic optical solutions to the stochastic nonlinear Kodama equation in nonlinear optics. AIMS Mathematics, 2025, 10(5): 11111-11130. https://doi.org/10.3934/math.2025504

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Received: 14 January 2025
Revised: 03 May 2025
Accepted: 08 May 2025
Published: 15 May 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)