Invariant measures of stochastic $2D$ Navier-Stokes equation driven by $\alpha$-stable processes
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1. | Title | Title of document | Invariant measures of stochastic $2D$ Navier-Stokes equation driven by $\alpha$-stable processes |
2. | Creator | Author's name, affiliation, country | Zhao Dong; Institute of Applied Mathematics, Academy of Mathematics and Systems Sciences, Academia Sinica, P.R.China |
2. | Creator | Author's name, affiliation, country | Lihu Xu; Department of Mathematics, Brunel University, Uxbridge UB8 3PH, ENGLAND |
2. | Creator | Author's name, affiliation, country | Xicheng Zhang; Wuhan University |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | $alpha$-stable process, Stochastic Navier-Stokes equation, Invariant measure |
3. | Subject | Subject classification | 60H15 |
4. | Description | Abstract | In this note we prove the well-posedness for stochastic $2D$ Navier-Stokes equation driven by general Lévy processes (in particular, $\alpha$-stable processes), and obtain the existence of invariant measures. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2011-10-31 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ecp.ejpecp.org/article/view/1664 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v16-1664 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 16 |
12. | Language | English=en | |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
15. | Rights | Copyright and permissions | The Electronic Journal of Probability applies the Creative Commons Attribution License (CCAL) to all articles we publish in this journal. Under the CCAL, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles published in EJP, so long as the original authors and source are credited. This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available. Summary of the Creative Commons Attribution License You are free
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