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A Concise Course on Stochastic Partial Differential Equations / by Claudia Prévôt, Michael Röckner.
Math/Physics/Astronomy Library QA3 .L28 v.1-999 470,523,830,849:2nd ed. v.1000-1722,1762,1781,1799-2099,2100-2192-2218 2219-2223-2258,2260-2271,2273-2274-2277,2279-2281,2283-2289,2291,2293-2294,2296,2298-2299,2300-2311,2313-2379,2381-2383 2385,2388-2389
Mixed Availability
LIBRA QA3 .L28 Scattered vols.
Mixed Availability
- Format:
- Book
- Author/Creator:
- Prévôt, Claudia, author.
- Röckner, Michael, 1956- author.
- Series:
- Lecture Notes in Mathematics, 0075-8434 ; 1905.
- Lecture Notes in Mathematics, 0075-8434 ; 1905
- Language:
- English
- Subjects (All):
- Global analysis (Mathematics).
- Differential equations, Partial.
- Distribution (Probability theory).
- Analysis.
- Partial Differential Equations.
- Probability Theory and Stochastic Processes.
- Local Subjects:
- Analysis.
- Partial Differential Equations.
- Probability Theory and Stochastic Processes.
- Physical Description:
- 1 online resource (VI, 148 pages).
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
- System Details:
- text file PDF
- Summary:
- These lectures concentrate on (nonlinear) stochastic partial differential equations (SPDE) of evolutionary type. All kinds of dynamics with stochastic influence in nature or man-made complex systems can be modelled by such equations. To keep the technicalities minimal we confine ourselves to the case where the noise term is given by a stochastic integral w.r.t. a cylindrical Wiener process.But all results can be easily generalized to SPDE with more general noises such as, for instance, stochastic integral w.r.t. a continuous local martingale. There are basically three approaches to analyze SPDE: the "martingale measure approach", the "mild solution approach" and the "variational approach". The purpose of these notes is to give a concise and as self-contained as possible an introduction to the "variational approach". A large part of necessary background material, such as definitions and results from the theory of Hilbert spaces, are included in appendices.
- Contents:
- Motivation, Aims and Examples
- Stochastic Integral in Hilbert spaces
- Stochastic Differential Equations in Finite Dimensions
- A Class of Stochastic Differential Equations in Banach Spaces
- Appendices: The Bochner Integral
- Nuclear and Hilbert-Schmidt Operators
- Pseudo Invers of Linear Operators
- Some Tools from Real Martingale Theory
- Weak and Strong Solutions: the Yamada-Watanabe Theorem
- Strong, Mild and Weak Solutions.
- Other Format:
- Printed edition:
- ISBN:
- 9783540707813
- Access Restriction:
- Restricted for use by site license.
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