LEADER 03160nam a2200301 i 4500 001 991004265224407536 005 20231115134724.0 008 230303s2015 sz rb 001 0 eng d 020 $a9783319223537$qbr. 040 $aBibl. Dip.le Aggr. Matematica e Fisica - Sez. Matematica$beng 082 04$a519.2$222 084 $aAMS 60H15 084 $aLC QA274.25 084 $aAMS 35R60 100 1 $aLiu, Wei$0755646 245 10$aStochastic partial differential equations :$ban introduction /$cWei Liu, Michael Röckner 260 $aCham [etc.] :$bSpringer,$cc2015 300 $avi, 266 p. ;$c24 cm 490 0 $aUniversitext,$x2191-6675 504 $aIncludes bibliographical references (p. 261-264) and index 520 $aThis 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 650 4$aStochastic partial differential equations 650 4$aPartial differential equations 650 4$aProbabilities 700 1 $aRöckner, Michael$eauthor$4http://id.loc.gov/vocabulary/relators/aut$059656 912 $a991004265224407536 996 $aStochastic partial differential equations$91522759 997 $aUNISALENTO