Studying the Methods of Solutions for Some Nonlinear Stochastic Differential Equations

Authors

  • Waleed A. Saeed Department of Mathematics, College of Education for Pure Science, University of AL-Hamdaniya, Iraq Author

DOI:

https://doi.org/10.70882/mtf5w457

Keywords:

Stochastic differential equation, Stochastic integral, Ito formula, The integrated factor method, Local linearization methods.

Abstract

A variety of scientific fields, including physics, engineering, and finance, have recently used stochastic processes and stochastic calculus. A particular class of stochastic processes that are stochastically integral and frequently described as solutions to stochastic differential equations is the focus of stochastic calculus. Different methods such as: (integrate factor, heat equation, and Linearization) for some non-linear stochastic differential equations to find their analytic (exact) solution have been studied in this work. We also suggested a method to linearization the solution. The outcomes of applying the suggested method to the two models were identical to the outcomes of applying the integration factor method.

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Published

2026-09-19

How to Cite

Studying the Methods of Solutions for Some Nonlinear Stochastic Differential Equations. (2026). Journal of Pure and Applied Sciences (Science Forum), 26(4). https://doi.org/10.70882/mtf5w457

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