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Science/Engineering Concise Course on Stochastic Partial Differential Equations

Posted on 2010-04-10




Name:Science/Engineering Concise Course on Stochastic Partial Differential Equations
ASIN/ISBN:3540707808
Language:English
File size:1.5 Mb
Publish Date: 1 edition (July 2007)
Pages: 148 pages
File Type: PDF
File Size: 1.5 MB
Other Info: Claudia Prévôt / Michael Röckner; Springer; 3540707808
   Science/Engineering Concise Course on Stochastic Partial Differential Equations

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«A Concise Course on Stochastic Partial Differential Equations (Lecture Notes in Mathematics)»

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& 8221; 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& 8221;. A large part of necessary background material, such as definitions and results from the theory of Hilbert spaces, are included in appendices.

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