A concise course on stochastic partial differential equations

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 cas...

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Bibliographic Details
Other Authors: Prévôt, Claudia, author (author), Röckner, Michael, 1956- author
Format: eBook
Language:Inglés
Published: Berlin, Germany ; New York, New York : Springer [2007]
Edition:1st ed. 2007.
Series:Lecture Notes in Mathematics, 1905
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009461262806719
Description
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.
Item Description:Description based upon print version of record.
Physical Description:1 online resource (148 p.)
Bibliography:Includes bibliographical references (p. 137-139) and index.
ISBN:9781280902161
9786610902163
9783540707813