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The Analytical Solutions of the Stochastic mKdV Equation via the Mapping Method

Wael W. Mohammed, Farah M. Al‐Askar, Clemente Cesarano

2022Mathematics68 citationsDOIOpen Access PDF

Abstract

Here, we analyze the (2+1)-dimensional stochastic modified Kordeweg–de Vries (SmKdV) equation perturbed by multiplicative white noise in the Stratonovich sense. We apply the mapping method to obtain new trigonometric, elliptic, and rational stochastic fractional solutions. Because of the importance of the KdV equation in characterizing the behavior of waves in shallow water, the obtained solutions are beneficial in interpreting certain fascinating physical phenomena. We plot our figures in MATLAB and show several 3D and 2D graphical representations to show how the multiplicative white noise affects the solutions of the SmKdV. We show that the white noise around zero stabilizes SmKdV solutions.

Topics & Concepts

White noiseMultiplicative functionTrigonometryMultiplicative noiseKorteweg–de Vries equationMathematicsNoise (video)Trigonometric functionsMathematical analysisApplied mathematicsComputer scienceGeometryPhysicsNonlinear systemStatisticsImage (mathematics)Quantum mechanicsComputer hardwareArtificial intelligenceSignal transfer functionAnalog signalDigital signal processingNonlinear Waves and SolitonsFractional Differential Equations SolutionsOcean Waves and Remote Sensing