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Application of He's Exp-function Method to the Stochastic mKdV Equation

机译:He's展开函数法在随机mKdV方程中的应用

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摘要

With the help of Hermit transformation, it is firstly that the exp-function method is applied to solve nonlinear stochastic partial differential equations, and some new exact solutions of the stochastic mKdV equation in the white noise environment are obtained. It is shown that the exp-function method provides a straightforward and important mathematical tool for nonlinear stochastic partial differential equations in mathematical physics.
机译:首先,借助Hermit变换,将exp函数方法用于求解非线性随机偏微分方程,并获得了白噪声环境下随机mKdV方程的一些新的精确解。结果表明,exp函数函数为数学物理学中的非线性随机偏微分方程提供了直接而重要的数学工具。

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