The Annals of Probability · 2000 · 48 citations · 15 references
EngineeringMathematicsProbability TheoryStochastic ModelingStochastic ProcessesBrownian MotionContinuous-time Stochastic ProcessesDiffusion ProcessesLarge DeviationsStochastic CalculusStochastic Differential EquationsDiffusionsLarge Deviation PrinciplesLarge Deviations For DiffusionsLarge Deviations PrincipleOrnstein-uhlenbeck ModelsOrnstein-uhlenbeck Processes
In this paper,we establish a small time large deviation principle and obtain the following small time asymptotics: \lim_{t \to 0}2t \log P(X_0 \in B, X_t \in C) = -d^2 (B, C), for diffusion processes on Hilbert spaces, where $d(B,C)$ is the intrinsic metric between two subsets $B$ and $C$ associated with the diffusions. The case of perturbed Ornstein–Uhlenbeck processes is treated separately at the end of the paper.
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Decomposition of Dirichlet Processes and its Application
Terry Lyons, T. S. Zhang · The Annals of Probability · 1994 · 88 citations · Full text