Stochastics · 1984 · 155 citations · 13 references
EngineeringMathematicsDerivativesProbability TheoryStochastic ProcessesBrownian MotionContinuous-time Stochastic ProcessesDiffusion ProcessesStochastic CalculusStochastic Differential EquationsIntegral RepresentationsMalliavin CalculusMartingale RepresentationStochastic IntegralsStochastic IntegrationWeak Derivatives
If F is a Frechet differentiable functional on is a Brownian motion, and clark's formula states that where is the measure defining the Frechet derivative of F at b.In this paper we extend Clark's formula to the more general class of weakly H-differentiablefunctionals, and we give a simple proff based on Malliavin's calculus. again using Malliavin calculus techniques, we also derive Haussmann's stochastic integral representation of a function F(y) of the diffusion process In doing this, we show that is weakly H-differentiable if m and have bounded, continuous, first derivatives in y.
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Stochastic differential equations and applications
Gian‐Carlo Rota · Advances in Mathematics · 1977 · 1.2K citations
Stochastic calculus of variations and hypoelliptic operators
Paul Malliavin · 1978 · 546 citations