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Exact Rate of Convergence of Some Approximation Schemes Associated to SDEs Driven by a Fractional Brownian Motion
Authors:Andreas Neuenkirch  Ivan Nourdin
Institution:1.Fachbereich Mathematik,Johann Wolfgang Goethe-Universit?t Frankfurt,Frankfurt am Main,Germany;2.LPMA,Université Pierre et Marie Curie Paris 6,Paris Cedex 5,France
Abstract:In this article, we derive the exact rate of convergence of some approximation schemes associated to scalar stochastic differential equations driven by a fractional Brownian motion with Hurst index H. We consider two cases. If H>1/2, the exact rate of convergence of the Euler scheme is determined. We show that the error of the Euler scheme converges almost surely to a random variable, which in particular depends on the Malliavin derivative of the solution. This result extends those contained in J. Complex. 22(4), 459–474, 2006 and C.R. Acad. Sci. Paris, Ser. I 340(8), 611–614, 2005. When 1/6<H<1/2, the exact rate of convergence of the Crank-Nicholson scheme is determined for a particular equation. Here we show convergence in law of the error to a random variable, which depends on the solution of the equation and an independent Gaussian random variable.
Keywords:Fractional Brownian motion  Russo-Vallois integrals  Doss-Sussmann type transformation  Stochastic differential equations  Euler scheme  Crank-Nicholson scheme  Mixing law
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