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Stochastic Evolution Systems

Linear Theory and Applications to Non-Linear Filtering

Sergey V. Lototsky, Boris L. Rozovsky

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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik

Beschreibung

This monograph, now in a thoroughly revised second edition, develops the theory of stochastic calculus in Hilbert spaces and applies the results to the study of generalized solutions of stochastic parabolic equations.

The emphasis lies on second-order stochastic parabolic equations and their connection to random dynamical systems. The authors further explore applications to the theory of optimal non-linear filtering, prediction, and smoothing of partially observed diffusion processes. The new edition now also includes a chapter on chaos expansion for linear stochastic evolution systems.

This book will appeal to anyone working in disciplines that require tools from stochastic analysis and PDEs, including pure mathematics, financial mathematics, engineering and physics.

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Schlagwörter

Markov property, diffusion process, MSC (2010): 60H15, 35R60, chaos solution of parabolic equations, local martingale, stochastic integration in Hilbert space, Sobolev space, Hormander's condition in filtering, partial differential equation, Boundary value problem, Martingale, backward diffusion equation, filtering problem, stochastic characteristics, extrapolation, interpolation, partial differential equations