Stochastic partial differential equations [electronic resource] : an introduction / Wei Liu, Michael Röckner.
2015
QA274.25
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Title
Stochastic partial differential equations [electronic resource] : an introduction / Wei Liu, Michael Röckner.
ISBN
9783319223544 electronic book
3319223542 electronic book
9783319223537 paperback
3319223534 paperback
3319223542 electronic book
9783319223537 paperback
3319223534 paperback
Published
Cham : Springer, c2015.
Language
English
Description
1 online resource.
Item Number
9783319223537
10.1007/978-3-319-22354-4 doi
10.1007/978-3-319-22354-4 doi
Call Number
QA274.25
Dewey Decimal Classification
515/.353
Summary
This book provides an introduction to the theory of stochastic partial differential equations (SPDEs) of evolutionary type. SPDEs are one of the main research directions in probability theory with several wide ranging applications. Many types of dynamics with stochastic influence in nature or man-made complex systems can be modelled by such equations. The theory of SPDEs is based both on the theory of deterministic partial differential equations, as well as on modern stochastic analysis. Whilst this volume mainly follows the 'variational approach', it also contains a short account on the 'semigroup (or mild solution) approach'. In particular, the volume contains a complete presentation of the main existence and uniqueness results in the case of locally monotone coefficients. Various types of generalized coercivity conditions are shown to guarantee non-explosion, but also a systematic approach to treat SPDEs with explosion in finite time is developed. It is, so far, the only book where the latter and the 'locally monotone case' is presented in a detailed and complete way for SPDEs. The extension to this more general framework for SPDEs, for example, in comparison to the well-known case of globally monotone coefficients, substantially widens the applicability of the results. In addition, it leads to a unified approach and to simplified proofs in many classical examples. These include a large number of SPDEs not covered by the 'globally monotone case', such as, for exa mple, stochastic Burgers or stochastic 2D and 3D Navier-Stokes equations, stochastic Cahn-Hilliard equations and stochastic surface growth models. To keep the book self-contained and prerequisites low, necessary results about SDEs in finite dimensions are also included with complete proofs as well as a chapter on stochastic integration on Hilbert spaces. Further fundamentals (for example, a detailed account on the Yamada-Watanabe theorem in infinite dimensions) used in the book have added proofs in the appendix. The book can be used as a textbook for a one-year graduate course.
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Includes bibliographical references and index.
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Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 23, 2015).
Added Author
Röckner, Michael, 1956- author.
Series
Universitext.
Available in Other Form
Print version: 3319223534
Print version: 3319223534
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Table of Contents
Motivation, Aims and Examples
Stochastic Integral in Hilbert Spaces
SDEs in Finite Dimensions
SDEs in Infinite Dimensions and Applications to SPDEs
SPDEs with Locally Monotone Coefficients
Mild Solutions.
Stochastic Integral in Hilbert Spaces
SDEs in Finite Dimensions
SDEs in Infinite Dimensions and Applications to SPDEs
SPDEs with Locally Monotone Coefficients
Mild Solutions.