A Petrov-Galerkin finite element method using polyfractonomials to solve stochastic fractional differential equations

Autor: Ali Foroush Bastani, Nazanin Abedini, Bijan Z. Zangeneh
Rok vydání: 2021
Předmět:
Zdroj: Applied Numerical Mathematics. 169:64-86
ISSN: 0168-9274
Popis: In this paper, we are concerned with existence, uniqueness and numerical approximation of the solution process to an initial value problem for stochastic fractional differential equation of Riemann-Liouville type. We propose and analyze a Petrov-Galerkin finite element method based on fractional (non-polynomial) Jacobi polyfractonomials as basis and test functions. Error estimates in L 2 norm are derived and numerical experiments are provided to validate the theoretical results. As an illustrative application, we generate sample paths of the Riemann-Liouville fractional Brownian motion which is of importance in many applications ranging from geophysics to traffic flow in telecommunication networks.
Databáze: OpenAIRE