(Non)Differentiability and Asymptotics for Potential Densities of Subordinators
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | (Non)Differentiability and Asymptotics for Potential Densities of Subordinators |
2. | Creator | Author's name, affiliation, country | Leif Döring; Technische Universität Berlin; Germany |
2. | Creator | Author's name, affiliation, country | Mladen Savov; Oxford University; United Kingdom |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Levy process, Subordinator, Creeping Probability, Renewal Density, Potential Measure |
3. | Subject | Subject classification | Primary 60J75; Secondary 60K99 |
4. | Description | Abstract | For subordinators with positive drift we extend recent results on the structure of the potential measures and the renewal densities. Applying Fourier analysis a new representation of the potential densities is derived from which we deduce asymptotic results and show how the atoms of the Lévy measure translate into points of (non)differentiability of the potential densities. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | EPSRC grant EP/E010989/1 |
7. | Date | (YYYY-MM-DD) | 2011-03-17 |
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/860 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v16-860 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of 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
|