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Moment estimates for solutions of linear stochastic differential
equations driven by analytic fractional Brownian motion	   
  
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Jeremie M Unterberger, Institut Elie Cartan de Nancy - Universite Henri Poincare - Nancy (France) 			 | 
		  
	   
		
  
		
			 
				
					   
					   Abstract 
	As a general rule, differential equations driven by a multi-dimensional irregular path Γ are 
 solved  by constructing a rough path over Γ. 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 H"older regularity α<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 α∈(0,1) may be solved on the closed upper half-plane, and that the solutions have finite variance
				   
 
  
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Full text: PDF
  Pages: 411-417
  Published on: September 30, 2010
 
  
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 Electronic Communications in Probability.   ISSN: 1083-589X 	 | 
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