On differentiability of stochastic flow for а multidimensional SDE with discontinuous drift
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | On differentiability of stochastic flow for а multidimensional SDE with discontinuous drift |
2. | Creator | Author's name, affiliation, country | Olga Aryasova; National Academy of Sciences of Ukraine; Ukraine |
2. | Creator | Author's name, affiliation, country | Andrey Pilipenko; National Academy of Sciences of Ukraine; Ukraine |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Stochastic flow; Continuous additive functional; Differentiability with respect to initial data |
3. | Subject | Subject classification | 60J65, 60H10 |
4. | Description | Abstract | We consider a d-dimensional SDE with an identity diffusion matrix and a drift vector being a vector function of bounded variation. We give a representation for the derivative of the solution with respect to the initial data. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2014-07-15 |
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/2886 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v19-2886 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 19 |
12. | Language | English=en | 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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