Transactions of the American Mathematical Society · 2009 · 52 citations · 18 references
EngineeringMathematicsProbability TheoryStochastic ModelingStochastic ProcessesBrownian MotionDiffusion ProcessesGaussian ProcessesStochastic CalculusStochastic Differential EquationsItô CalculusMalliavin CalculusPath AnalysisRegularity CriteriaRegularity TheoryRough Path TheorySample Path Properties
Malliavin Calculus is about Sobolev-type regularity of functionals on Wiener space, the main example being the Itô map obtained by solving stochastic differential equations. Rough path analysis is about strong regularity of the solution to (possibly stochastic) differential equations. We combine arguments of both theories and discuss the existence of a density for solutions to stochastic differential equations driven by a general class of non-degenerate Gaussian processes, including processes with sample path regularity worse than Brownian motion.
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Differential equations driven by rough signals
Terry Lyons · Revista Matemática Iberoamericana · 1998 · 1.1K citations · Full text