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Moment estimates for solutions of linear stochastic differential equations driven by analytic fractional Brownian motion

  
@article{ECP1574,
	author = {Jeremie Unterberger},
	title = {Moment estimates for solutions of linear stochastic differential equations driven by analytic fractional Brownian motion},
	journal = {Electron. Commun. Probab.},
	fjournal = {Electronic Communications in Probability},
	volume = {15},
	year = {2010},
	keywords = {stochastic differential equations, fractional Brownian motion, analytic fractional Brownian motion, rough paths, H\"older continuity, Chen series},
	abstract = {As a general rule, differential equations driven by a multi-dimensional irregular path $\Gamma$ are    solved  by constructing a rough path over $\Gamma$. The domain of definition - and also  estimates - of the solutions depend  on upper bounds for the rough path; these  general, deterministic estimates are too crude to  apply e.g. to   the solutions of stochastic  differential equations with linear coefficients   driven by a Gaussian process with Holder regularity $\alpha<1/2$.    We prove here (by showing convergence of Chen's series)    that linear stochastic differential equations driven by analytic fractional Brownian motion  [6,7] with arbitrary Hurst index $\alpha\in(0,1)$ may be solved on the closed upper half-plane, and that the solutions have finite variance.},
	pages = {no. 37, 411-417},
	issn = {1083-589X},
	doi = {10.1214/ECP.v15-1574},    
        url = {http://ecp.ejpecp.org/article/view/1574}}