Percolation Dimension of Brownian Motion in $R^3$
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Percolation Dimension of Brownian Motion in $R^3$ |
2. | Creator | Author's name, affiliation, country | Chad Fargason; Duke University |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Percolation dimension, boundary dimension, intersection exponent |
3. | Subject | Subject classification | 60J65. |
4. | Description | Abstract | Let $B(t)$ be a Brownian motion in $R^3$. A subpath of the Brownian path $B[0,1]$ is a continuous curve $\gamma(t)$, where $\gamma[0,1] \subseteq B[0,1]$ , $\gamma(0) = B(0)$, and $\gamma(1) = B(1)$. It is well-known that any subset $S$ of a Brownian path must have Hausdorff dimension $\text{dim} (S) \leq 2.$ This paper proves that with probability one there exist subpaths of $B[0,1]$ with Hausdorff dimension strictly less than 2. Thus the percolation dimension of Brownian motion in $R^3$ is strictly less than 2. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 1998-02-27 |
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/993 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v3-993 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 3 |
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
|