You are in:Home/Publications/Homotopy Analysis Wiener-Hermite Expansion (HAM –WHE) Method for Solving Stochastic Differential Equation

Dr. Hany Nasr Hassan Mohammed :: Publications:

Title:
Homotopy Analysis Wiener-Hermite Expansion (HAM –WHE) Method for Solving Stochastic Differential Equation
Authors: Aisha A. Fareed, M. A. El-Tawil, Hany N. Hassan
Year: 2016
Keywords: Stochastic nonlinear Diffusion equation; Homotopy analysis method; WHEP technique; Convergence-controller parameter
Journal: Mathematical Sciences Letters
Volume: 5
Issue: 1
Pages: 13-26
Publisher: Not Available
Local/International: International
Paper Link: Not Available
Full paper Not Available
Supplementary materials Not Available
Abstract:

This paper introduces a new technique called Homotopy analysis Wiener Hermite expansion (HAM-WHE) which considered as an extension to Wiener Hermite expansion linked with perturbation technique WHEP. The WHEP technique uses the Wiener Hermite expansion and perturbation technique to solve a class of nonlinear partial differential equations with a perturbed nonlinearity. The homotopy perturbation method (HPM) was used instead of the conventional perturbation methods which generalizes the WHEP technique such that it can be applied to stochastic differential equations without the necessary of presence of the small parameter. For more generalizing, the homotopy analysis method (HAM) is used instead of HPM; since HAM contains the control parameter to guarantee the convergence of the solution and HPM is only a special case of HAM obtained at h¯ = −1 .The proposed technique is applied on stochastic quadratic nonlinear diffusion problem to obtain some approximation orders of mean and variance with making comparisons with HAM and homotopy-WHE to testify the method of analysis using symbolic computation software Mathematica. The current work extends the use of WHEP for solving stochastic nonlinear differential equations.

Google ScholarAcdemia.eduResearch GateLinkedinFacebookTwitterGoogle PlusYoutubeWordpressInstagramMendeleyZoteroEvernoteORCIDScopus