rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Stochastic Partial Differential Equations: An Introduction
  name:
    name part: Liu, Wei.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Röckner, Michael.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2015
    edition: 1st ed. 2015.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VI, 266 p. online resource.
  abstract: 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 a…
  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.
  note: by Wei Liu, Michael Röckner.
  subject:
    topic: Mathematics
  subject:
    topic: Differential equations
  subject:
    topic: Partial differential equations
  subject:
    topic: Game theory
  subject:
    topic: Mathematical physics
  subject:
    topic: Probabilities
  subject:
    topic: Mathematics
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Partial Differential Equations
  subject:
    topic: Ordinary Differential Equations
  subject:
    topic: Mathematical Applications in the Physical Sciences
  subject:
    topic: Game Theory, Economics, Social and Behav. Sciences
  classification: QA273.A1-274.9
  classification: QA274-274.9
  classification: 519.2
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Universitext
  identifier: 9783319223544
  identifier: http://dx.doi.org/10.1007/978-3-319-22354-4
  record info:
    record creation date: 151006
    record change date: 20151121051247.0
    record identifier: 978-3-319-22354-4