Pruning a Lévy Continuum Random Tree
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Pruning a Lévy Continuum Random Tree |
2. | Creator | Author's name, affiliation, country | Romain Abraham; Université Orléans; France |
2. | Creator | Author's name, affiliation, country | Jean-François Delmas; École des Ponts and Université Paris-Est; France |
2. | Creator | Author's name, affiliation, country | Guillaume Voisin; Université Orléans; France |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | continuum random tree, Lévy snake, special Markov property |
3. | Subject | Subject classification | 60J25, 60G57, 60J80 |
4. | Description | Abstract | Given a general critical or sub-critical branching mechanism, we define a pruning procedure of the associated Lévy continuum random tree. This pruning procedure is defined by adding some marks on the tree, using L'evy snake techniques. We then prove that the resulting sub-tree after pruning is still a L'evy continuum random tree. This last result is proved using the exploration process that codes the CRT, a special Markov property and martingale problems for exploration processes. We finally give the joint law under the excursion measure of the lengths of the excursions of the initial exploration process and the pruned one. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | ANR-08-BLAN-0190 |
7. | Date | (YYYY-MM-DD) | 2010-09-27 |
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/802 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v15-802 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 15 |
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
|