On local linearization method for stochastic differential equations driven by fractional Brownian motion

Leon, Jorge A.; Torres, Soledad

Abstract

We propose a local linearization scheme to approximate the solutions of non-autonomous stochastic differential equations driven by fractional Brownian motion with Hurst parameter (Formula presented.) Toward this end, we approximate the drift and diffusion terms by means of a first-order Taylor expansion. This becomes the original equation into a local fractional linear stochastic differential equation, whose solution can be figured out explicitly. As in the Brownian motion case (i.e., H = 1/2), the rate of convergence, in our case, is twice the one of the Euler scheme. Numerical examples are given to demonstrate the performance of the method.

Más información

Título según WOS: On local linearization method for stochastic differential equations driven by fractional Brownian motion
Título según SCOPUS: On local linearization method for stochastic differential equations driven by fractional Brownian motion
Título de la Revista: Stochastic Analysis and Applications
Volumen: 39
Número: 1
Editorial: Taylor and Francis Inc.
Fecha de publicación: 2021
Página final: 90
Idioma: English
DOI:

10.1080/07362994.2020.1779746

Notas: ISI, SCOPUS