Random directed trees and forest - drainage networks with dependence
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Random directed trees and forest - drainage networks with dependence |
2. | Creator | Author's name, affiliation, country | Siva R Athreya; Indian Statistical Institute, Bangalore |
2. | Creator | Author's name, affiliation, country | Rahul Roy; Indian Statistical Institute, Delhi |
2. | Creator | Author's name, affiliation, country | Anish Sarkar; Indian Statistical Institute, Delhi |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Random Graph, Random Oriented Trees, Random Walk |
3. | Subject | Subject classification | 0505C80, 60K35 |
4. | Description | Abstract | Consider the $d$-dimensional lattice $\mathbb Z^d$ where each vertex is `open' or `closed' with probability $p$ or $1-p$ respectively. An open vertex $v$ is connected by an edge to the closest open vertex $ w$ in the $45^\circ$ (downward) light cone generated at $v$. In case of non-uniqueness of such a vertex $w$, we choose any one of the closest vertices with equal probability and independently of the other random mechanisms. It is shown that this random graph is a tree almost surely for $d=2$ and $3$ and it is an infinite collection of distinct trees for $d \geq 4$. In addition, for any dimension, we show that there is no bi-infinite path in the tree. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | Centre for Scientific and Industrial Research, India Grant-in-aid Scheme and Department of Science and Technology, India |
7. | Date | (YYYY-MM-DD) | 2008-12-01 |
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/580 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v13-580 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 13 |
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
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