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Titlebook: Itô’s Stochastic Calculus and Probability Theory; Nobuyuki Ikeda (Professor),Shinzo Watanabe (Profes Book 1996 Springer-Verlag Tokyo 1996

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nown as Ito‘s stochastic analysis or Ito‘s stochastic calculus, about fifty years ago, its value in both pure and applied mathematics is becoming greater and greater. For almost all modern theories at the forefront of probability and related fields, Ito‘s analysis is indispensable as an essential in
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Equilibrium fluctuations for lattice gas,afterward generalized to an interacting case by Spohn [11] in an equilibrium situation. The corresponding law of large numbers, equivalently, the hydrodynamic limit for interacting Brownian particles was established by Varadhan [13].
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Diffusion processes on an open time interval and their time reversal,e the limiting behaviour of the process as . ′ ↓ ., and . ↑ .. This requires closer analysis of stochastic differential equations in connection with time reversal. In this context, a Skorokhod problem with singular drift is discussed.
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On decomposition of additive functionals of reflecting Brownian motions,n P.-a.s. but not necessarily of bounded variation P.-a.s. on each finite time interval. Nevertheless both ... and ... are well computable from . through the Dirichlet form . and accordingly the decomposition (1.1) has proved to be a useful substitute of Ito’s formula for symmetric Markov processes.
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A class of integration by parts formulae in stochastic analysis I,ble adapted process with sample paths in the Cameron-Martin space ..([0,.];...).Set .. = σ{ξ.(x) : 0 ≤ . ≤ .} Taking conditional expectation with respect to..., formula (1.2) yields integration by parts formulae on ..(.) of the form.where . is the vector field on ..(.) .and . is given by ..
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,A Martin boundary connected with the ∞-volume limit of the focussing cubic Schrödinger equation,t ∞-volume Gibbs states. These are related to a sort of “boundary” of the type introduced by Martin [1941] for the description of classical harmonic functions in general 3-dimensional regions, as will be explained below.
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