Optimal regularity for semilinear stochastic partial differential equations with multiplicative noise
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1. | Title | Title of document | Optimal regularity for semilinear stochastic partial differential equations with multiplicative noise |
2. | Creator | Author's name, affiliation, country | Raphael Kruse; Bielefeld University; Germany |
2. | Creator | Author's name, affiliation, country | Stig Larsson; Chalmers University of Technology and University of Gothenburg; Sweden |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | SPDE; Hölder continuity; temporal and spatial regularity; multiplicative noise; Lipschitz nonlinearities; linear growth bound |
3. | Subject | Subject classification | 35B65; 35R60; 60H15 |
4. | Description | Abstract | This paper deals with the spatial and temporal regularity of the unique Hilbert space valued mild solution to a semilinear stochastic parabolic partial differential equation with nonlinear terms that satisfy global Lipschitz conditions and certain linear growth bounds. It is shown that the mild solution has the same optimal regularity properties as the stochastic convolution. The proof is elementary and makes use of existing results on the regularity of the solution, in particular, the Hölder continuity with a non-optimal exponent. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | First author: German Research Foundation (DFG) through CRC 701 and IGK 1132. Second author: Swedish Research Council (VR) and Swedish Foundation for Strategic Research (SSF) through GMMC. |
7. | Date | (YYYY-MM-DD) | 2012-08-18 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ejp.ejpecp.org/article/view/2240 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v17-2240 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 17 |
12. | Language | English=en | en |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
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