On the Asymptotic Internal Path Length and the Asymptotic Wiener Index of Random Split Trees
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | On the Asymptotic Internal Path Length and the Asymptotic Wiener Index of Random Split Trees |
2. | Creator | Author's name, affiliation, country | Goetz Olaf Munsonius; University of Frankfurt; Germany |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | random trees; probabilistic analysis of algorithms; internal path length; Wiener index |
3. | Subject | Subject classification | 60F05; 68P05; 05C05 |
4. | Description | Abstract | The random split tree introduced by Devroye (1999) is considered. We derive a second order expansion for the mean of its internal path length and furthermore obtain a limit law by the contraction method. As an assumption we need the splitter having a Lebesgue density and mass in every neighborhood of 1. We use properly stopped homogeneous Markov chains, for which limit results in total variation distance as well as renewal theory are used. Furthermore, we extend this method to obtain the corresponding results for the Wiener index. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2011-06-01 |
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/889 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v16-889 |
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
|