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.
Claudia Prevot & Michael Rockner
Concise Course on Stochastic Partial Differential Equations [PDF ebook]
Concise Course on Stochastic Partial Differential Equations [PDF ebook]
قم بشراء هذا الكتاب الإلكتروني واحصل على كتاب آخر مجانًا!
لغة الإنجليزية ● شكل PDF ● ISBN 9783540707813 ● الناشر Springer Berlin Heidelberg ● نشرت 2007 ● للتحميل 6 مرات ● دقة EUR ● هوية شخصية 6319886 ● حماية النسخ Adobe DRM
يتطلب قارئ الكتاب الاليكتروني قادرة DRM