arXiv:1906.10352 [math.PR]AbstractReferencesReviewsResources
Invariance of closed convex cones for stochastic partial differential equations
Published 2019-06-25Version 1
The goal of this paper is to clarify when a closed convex cone is invariant for a stochastic partial differential equation (SPDE) driven by a Wiener process and a Poisson random measure, and to provide conditions on the parameters of the SPDE, which are necessary and sufficient.
Comments: 41 pages, 2 figures
Journal: Journal of Mathematical Analysis and Applications 451(2):1077-1122, 2017
Keywords: stochastic partial differential equation, closed convex cone, invariance, poisson random measure, wiener process
Tags: journal article
Related articles: Most relevant | Search more
arXiv:1406.5246 [math.PR] (Published 2014-06-20)
Analysis of the gradient of the solution to a stochastic heat equation via fractional Brownian motion
arXiv:2411.11759 [math.PR] (Published 2024-11-18)
Milstein-type schemes for McKean-Vlasov SDEs driven by Brownian motion and Poisson random measure (with super-linear coefficients)
Regularity analysis for stochastic partial differential equations with nonlinear multiplicative trace class noise