Stochastic calculus for fractional Brownian motion with Hurst exponent : A rough path method by analytic extension
arXiv:math/0703697 · doi:10.1214/08-AOP413
Abstract
The -dimensional fractional Brownian motion (FBM for short) with Hurst exponent , , is a -dimensional centered, self-similar Gaussian process with covariance The long-standing problem of defining a stochastic integration with respect to FBM (and the related problem of solving stochastic differential equations driven by FBM) has been addressed successfully by several different methods, although in each case with a restriction on the range of either or . The case corresponds to the usual stochastic integration with respect to Brownian motion, while most computations become singular when gets under various threshhold values, due to the growing irregularity of the trajectories as . We provide here a new method valid for any and for by constructing an approximation , , of FBM which allows to define iterated integrals, and then applying the geometric rough path theory. The approximation relies on the definition of an analytic process on the cut plane of which FBM appears to be a boundary value, and allows to understand very precisely the well-known (see \citeCQ02) but as yet a little mysterious divergence of Lévy's area for .
arXiv commentPublished in at http://dx.doi.org/10.1214/08-AOP413 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
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