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On Convergence of Population Processes in Random Environments to the Stochastic Heat Equation with Colored Noise


 
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1. Title Title of document On Convergence of Population Processes in Random Environments to the Stochastic Heat Equation with Colored Noise
 
2. Creator Author's name, affiliation, country Anja Sturm; Technische Universität Berlin
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Heat equation, colored noise, stochastic partial differential equation, superprocess, weak convergence, particle representation, random environment, existence theorem
 
3. Subject Subject classification 60H15, 60K35, 60K37, 60J80, 60F05
 
4. Description Abstract We consider the stochastic heat equation with a multiplicative colored noise term on the real space for dimensions greater or equal to 1. First, we prove convergence of a branching particle system in a random environment to this stochastic heat equation with linear noise coefficients. For this stochastic partial differential equation with more general non-Lipschitz noise coefficients we show convergence of associated lattice systems, which are infinite dimensional stochastic differential equations with correlated noise terms, provided that uniqueness of the limit is known. In the course of the proof, we establish existence and uniqueness of solutions to the lattice systems, as well as a new existence result for solutions to the stochastic heat equation. The latter are shown to be jointly continuous in time and space under some mild additional assumptions.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s) The Rhodes Trust and DFG Priority Program 1033.
 
7. Date (YYYY-MM-DD) 2003-04-11
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://ejp.ejpecp.org/article/view/129
 
10. Identifier Digital Object Identifier 10.1214/EJP.v8-129
 
11. Source Journal/conference title; vol., no. (year) Electronic Journal of Probability; Vol 8
 
12. Language English=en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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