The obstacle problem for quasilinear stochastic PDEs with non-homogeneous operator
Author(s) -
Laurent Denis,
Anis Matoussi,
Jing Zhang
Publication year - 2015
Publication title -
discrete and continuous dynamical systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.289
H-Index - 70
eISSN - 1553-5231
pISSN - 1078-0947
DOI - 10.3934/dcds.2015.35.5185
Subject(s) - sobolev space , mathematics , uniqueness , mathematical proof , operator (biology) , obstacle problem , obstacle , homogeneous , measure (data warehouse) , maximum principle , mathematical analysis , trace operator , class (philosophy) , boundary (topology) , space (punctuation) , order (exchange) , pure mathematics , parabolic partial differential equation , free boundary problem , mathematical optimization , partial differential equation , computer science , optimal control , combinatorics , geometry , repressor , database , law , chemistry , operating system , biochemistry , political science , transcription factor , elliptic boundary value problem , finance , economics , gene , artificial intelligence
We prove the existence and uniqueness of solution of the obstacle problem for quasilinear Stochastic PDEs with non-homogeneous second order operator. Our method is based on analytical technics coming from the parabolic potential theory. The solution is expressed as a pair $(u,\nu)$ where $u$ is a predictable continuous process which takes values in a proper Sobolev space and $\nu$ is a random regular measure satisfying minimal Skohorod condition. Moreover, we establish a maximum principle for local solutions of such class of stochastic PDEs. The proofs are based on a version of It\^o's formula and estimates for the positive part of a local solution which is non-positive on the lateral boundary.
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