Mean-Field SDE Driven by a Fractional Brownian Motion and Related Stochastic Control Problem

Existence and Measurability of the Solution of the Stochastic Differential Equations Driven by Fractional Brownian Motion

The Effects of Different SDE Calculus on Dynamics of Nano-Aerosols Motion in Two Phase Flow Systems

Langevin equation for a nano-particle suspended in a laminar fluid flow was analytically studied. The Brownian motion generated from molecular bombardment was taken as a Wiener stochastic process and approximated by a Gaussian white noise. Euler-Maruyama method was used to solve the Langevin equation numerically. The accuracy of Brownian simulation was checked by performing a series of simulati...

N ov 2 00 6 Trees and asymptotic developments for fractional stochastic differential equations

In this paper we consider a n-dimensional stochastic differential equation driven by a fractional Brownian motion with Hurst parameter H > 1/3. After solving this equation in a rather elementary way, following the approach of [10], we show how to obtain an expansion for E[f (X t)] in terms of t, where X denotes the solution to the SDE and f : R n → R is a regular function. With respect to [2], ...

Computational Method for Fractional-Order Stochastic Delay Differential Equations

Dynamic systems in many branches of science and industry are often perturbed by various types of environmental noise. Analysis of this class of models are very popular among researchers. In this paper, we present a method for approximating solution of fractional-order stochastic delay differential equations driven by Brownian motion. The fractional derivatives are considered in the Caputo sense...

Trees and asymptotic developments for fractional stochastic differential equations

In this paper we consider a n-dimensional stochastic differential equation driven by a fractional Brownian motion with Hurst parameter H > 1/3. After solving this equation in a rather elementary way, following the approach of [10], we show how to obtain an expansion for E[f(Xt)] in terms of t, where X denotes the solution to the SDE and f : Rn → R is a regular function. With respect to [2], whe...