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Stochastic Evolution Systems by Boris L. Rozovsky, Sergey V. Lototsky
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 emphasis lies on second-order stochastic parabolic equations and their connection to random dynamical systems.
FORMAT
Hardcover LANGUAGE
English CONDITION
Brand New Publisher Description
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 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 book will appeal to anyone working in disciplines that require tools from stochastic analysis and PDEs, including pure mathematics, financial mathematics, engineering and physics.
Back Cover
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.
Table of Contents
1 Examples and Auxiliary Results.- 2 Stochastic Integration in a Hilbert Space.- 3 Linear Stochastic Evolution Systems in Hilbert Spaces.- 4 Ito's Second Order Parabolic Equations.- 5 Ito's Partial Differential Equations and Diffusion Processes.- 6 Filtering, Interpolation and Extrapolation of Diffusion Processes.- 7 Hypoellipticity of Ito's Second Order Parabolic Equations.- 8 Chaos Expansion for Linear Stochastic Evolution Systems.- Notes.- References.- Index.
Review
"The book will be useful for those who are working in the area of applications of stochastic evolution systems in physics, biology and control theory, and require tools from stochastic analysis and partial differential equations." (Anatoliy Swishchuk, zbMATH 1434.60004, 2020)
"A remarkable quality of this monograph is that the results are stated and proved with a great level of generality and rigor. The reader will find many interesting results, as well as lots of long and technical proofs … ." (Charles-Edouard Bréhier, Mathematical Reviews, October, 2019)
Review Quote
"A remarkable quality of this monograph is that the results are stated and proved with a great level of generality and rigor. The reader will find many interesting results, as well as lots of long and technical proofs ... ." (Charles-Edouard Br
Feature
Provides a self-contained development of the theory of generalized solutions of stochastic parabolic equations Explores equations of optimal non-linear filtering, interpolation, and extrapolation of diffusion processes in detail Establishes various connections between diffusions and linear stochastic parabolic equations
Details ISBN331994892X Author Sergey V. Lototsky Publisher Springer International Publishing AG Series Probability Theory and Stochastic Modelling Language English Year 2018 Edition 2nd ISBN-10 331994892X ISBN-13 9783319948928 Format Hardcover Imprint Springer International Publishing AG Subtitle Linear Theory and Applications to Non-Linear Filtering Place of Publication Cham Country of Publication Switzerland Translated from English Replaces 9789401057035 DEWEY 515.353 Pages 330 Publication Date 2018-10-15 Short Title Stochastic Evolution Systems DOI 10.1007/978-3-319-94893-5 Series Number 89 UK Release Date 2018-10-15 Edited by Fiseha Tesfaye Birth 1974 Affiliation Massachusetts Institute of Technology Position journalist Qualifications S. J. Audience Professional & Vocational Edition Description Second Edition 2018 Country of Origin NL Product Class Description Mathematics Alternative 9783319948935 Illustrations 2 Illustrations, black and white
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