arXiv:1112.2332 [math.PR]AbstractReferencesReviewsResources
Mixed stochastic differential equations with long-range dependence: existence, uniqueness and convergence of solutions
Yuliya Mishura, Georgiy Shevchenko
Published 2011-12-11, updated 2012-11-12Version 2
For a mixed stochastic differential equation involving standard Brownian motion and an almost surely H\"older continuous process $Z$ with H\"older exponent $\gamma>1/2$, we establish a new result on its unique solvability. We also establish an estimate for difference of solutions to such equations with different processes $Z$ and deduce a corresponding limit theorem. As a by-product, we obtain a result on existence of moments of a solution to a mixed equation under an assumption that $Z$ has certain exponential moments.
Journal: Comput. Math. Appl. 64 (2012), 3217-3227
Categories: math.PR
Keywords: mixed stochastic differential equation, long-range dependence, convergence, uniqueness, standard brownian motion
Tags: journal article
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