Avoidance Coupling
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Avoidance Coupling |
2. | Creator | Author's name, affiliation, country | Omer Angel; University of British Columbia; Canada |
2. | Creator | Author's name, affiliation, country | Alexander E Holroyd; Microsoft Research; United States |
2. | Creator | Author's name, affiliation, country | James Martin; University of Oxford; United Kingdom |
2. | Creator | Author's name, affiliation, country | Peter Winkler; Dartmouth College; United States |
2. | Creator | Author's name, affiliation, country | David B Wilson; Microsoft Research; United States |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | coupling, coloring |
3. | Subject | Subject classification | 60J10 |
4. | Description | Abstract | We examine the question of whether a collection of random walks on a graph can be coupled so that they never collide. In particular, we show that on the complete graph on n vertices, with or without loops, there is a Markovian coupling keeping apart Omega(n/log n) random walks, taking turns to move in discrete time. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2013-07-09 |
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/2275 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v18-2275 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 18 |
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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