Exact solutions of Hirota-Maccari system forced by multiplicative noise in the Ito sense

In this article, the stochastic Hirota-Maccari system forced in the Ito sense by multiplicative noise is considered. We just use the He's semi-inverse method, sine-cosine method, and Riccati-Bernoulli sub-ODE method to get new stochastic solutions which are hyperbolic, trigonometric, and rational. The major benefit of these three approaches is that they can be used to solve similar models. Furthermore, we plot 3D surfaces of analytical solutions obtained in this article by using MATLAB to illustrate the effect of multiplicative noise on the exact solution of the Hirota-Maccari method.

Automated summary

This article explores the stochastic Hirota-Maccari system forced by multiplicative noise in the Ito sense, utilizing various methods to derive new stochastic solutions. The benefits of these methods include their applicability to similar models. Additionally, 3D surfaces of the analytical solutions are plotted using MATLAB to demonstrate the impact of multiplicative noise on the exact solution of the Hirota-Maccari method.