|
|
|
|
LEADER |
00000nam a22000005i 4500 |
001 |
978-3-540-70781-3 |
003 |
DE-He213 |
005 |
20220116021033.0 |
007 |
cr nn 008mamaa |
008 |
100301s2007 gw | s |||| 0|eng d |
020 |
|
|
|a 9783540707813
|9 978-3-540-70781-3
|
024 |
7 |
|
|a 10.1007/978-3-540-70781-3
|2 doi
|
050 |
|
4 |
|a QA299.6-433
|
072 |
|
7 |
|a PBK
|2 bicssc
|
072 |
|
7 |
|a MAT034000
|2 bisacsh
|
072 |
|
7 |
|a PBK
|2 thema
|
082 |
0 |
4 |
|a 515
|2 23
|
100 |
1 |
|
|a Prévôt, Claudia.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
245 |
1 |
2 |
|a A Concise Course on Stochastic Partial Differential Equations
|h [electronic resource] /
|c by Claudia Prévôt, Michael Röckner.
|
250 |
|
|
|a 1st ed. 2007.
|
264 |
|
1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2007.
|
300 |
|
|
|a VI, 148 p.
|b online resource.
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
347 |
|
|
|a text file
|b PDF
|2 rda
|
490 |
1 |
|
|a Lecture Notes in Mathematics,
|x 1617-9692 ;
|v 1905
|
505 |
0 |
|
|a 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.
|
520 |
|
|
|a 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.
|
650 |
|
0 |
|a Mathematical analysis.
|
650 |
|
0 |
|a Differential equations.
|
650 |
|
0 |
|a Probabilities.
|
650 |
1 |
4 |
|a Analysis.
|
650 |
2 |
4 |
|a Differential Equations.
|
650 |
2 |
4 |
|a Probability Theory.
|
700 |
1 |
|
|a Röckner, Michael.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer Nature eBook
|
776 |
0 |
8 |
|i Printed edition:
|z 9783540835288
|
776 |
0 |
8 |
|i Printed edition:
|z 9783540707806
|
830 |
|
0 |
|a Lecture Notes in Mathematics,
|x 1617-9692 ;
|v 1905
|
856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-3-540-70781-3
|z Texto Completo
|
912 |
|
|
|a ZDB-2-SMA
|
912 |
|
|
|a ZDB-2-SXMS
|
912 |
|
|
|a ZDB-2-LNM
|
950 |
|
|
|a Mathematics and Statistics (SpringerNature-11649)
|
950 |
|
|
|a Mathematics and Statistics (R0) (SpringerNature-43713)
|