Stochastic equations in infinite dimensions / Giuseppe Da Prato, Jerzy Zabczyk.

By: Da Prato, Giuseppe
Contributor(s): Zabczyk, Jerzy
Material type: TextTextSeries: Encyclopedia of mathematics and its applications: volume 44.Publisher: Cambridge ; New York : Cambridge University Press, 1992Description: 1 online resource (xviii, 454 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9781107088139; 1107088135; 9780511666223; 0511666225Subject(s): Stochastic partial differential equations | Équations différentielles stochastiques | Analyse stochastique | Équations aux dérivées partielles stochastiques | Semimartingales (Mathématiques) | MATHEMATICS -- Applied | MATHEMATICS -- Probability & Statistics -- General | Stochastic partial differential equations | Banach-Raum | Gleichung | Hilbert-Raum | Stochastik | Equations aux dérivées partielles stochastiquesGenre/Form: Electronic books. | Electronic books. Additional physical formats: Print version:: Stochastic equations in infinite dimensionsDDC classification: 519.2 LOC classification: QA274.25 | .D4 1992ebOther classification: 31.70 | SK 820 Online resources: Click here to access online
Contents:
Lifts of diffusion processes -- Random variables -- Probability measures -- Stochastic processes -- The stochastic integral -- Existence and uniqueness -- Linear equations with additive noise -- Linear equations with multiplicative noise -- Existence and uniqueness for nonlinear equations -- Martingale solutions -- Properties of solutions -- Markov properties and kolmogorov equations -- Absolute continuity and Girsanov's theorem -- Large time nehaviour of solutions -- Small noise noise asymptotic -- A linear deterministic equations -- Some results on control theory -- Nuclear and Hilbert, Schimidt operators -- Dissipative mappings.
Summary: The aim of this book is to give a systematic and self-contained presentation of basic results on stochastic evolution equations in infinite dimensional, typically Hilbert and Banach, spaces. These are a generalization of stochastic differential equations as introduced by Itô and Gikham that occur, for instance, when describing random phenomena that crop up in science and engineering, as well as in the study of differential equations. The book is divided into three parts. In the first the authors give a self-contained exposition of the basic properties of probability measure on separable Banach and Hilbert spaces, as required later; they assume a reasonable background in probability theory and finite dimensional stochastic processes. The second part is devoted to the existence and uniqueness of solutions of a general stochastic evolution equation, and the third concerns the qualitative properties of those solutions. Appendices gather together background results from analysis that are otherwise hard to find under one roof. The book ends with a comprehensive bibliography that will contribute to the book's value for all working in stochastic differential equations.
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Includes bibliographical references (pages 427-449) and index.

Print version record.

Lifts of diffusion processes -- Random variables -- Probability measures -- Stochastic processes -- The stochastic integral -- Existence and uniqueness -- Linear equations with additive noise -- Linear equations with multiplicative noise -- Existence and uniqueness for nonlinear equations -- Martingale solutions -- Properties of solutions -- Markov properties and kolmogorov equations -- Absolute continuity and Girsanov's theorem -- Large time nehaviour of solutions -- Small noise noise asymptotic -- A linear deterministic equations -- Some results on control theory -- Nuclear and Hilbert, Schimidt operators -- Dissipative mappings.

The aim of this book is to give a systematic and self-contained presentation of basic results on stochastic evolution equations in infinite dimensional, typically Hilbert and Banach, spaces. These are a generalization of stochastic differential equations as introduced by Itô and Gikham that occur, for instance, when describing random phenomena that crop up in science and engineering, as well as in the study of differential equations. The book is divided into three parts. In the first the authors give a self-contained exposition of the basic properties of probability measure on separable Banach and Hilbert spaces, as required later; they assume a reasonable background in probability theory and finite dimensional stochastic processes. The second part is devoted to the existence and uniqueness of solutions of a general stochastic evolution equation, and the third concerns the qualitative properties of those solutions. Appendices gather together background results from analysis that are otherwise hard to find under one roof. The book ends with a comprehensive bibliography that will contribute to the book's value for all working in stochastic differential equations.

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