Reconstructing a Multicolor Random Scenery seen along a Random Walk Path with Bounded Jumps
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1. | Title | Title of document | Reconstructing a Multicolor Random Scenery seen along a Random Walk Path with Bounded Jumps |
2. | Creator | Author's name, affiliation, country | Matthias Loewe; University Muenster |
2. | Creator | Author's name, affiliation, country | Heinrich Matzinger; Georgia Tech |
2. | Creator | Author's name, affiliation, country | Franz Merkl; Leiden University |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Scenery reconstruction; jumps; stationary processes; random walk; ergodic theory |
3. | Subject | Subject classification | 60K37; 60G10; 60J75 |
4. | Description | Abstract | Kesten noticed that the scenery reconstruction method proposed by Matzinger in his PhD thesis relies heavily on the skip-free property of the random walk. He asked if one can still reconstruct an i.i.d. scenery seen along the path of a non-skip-free random walk. In this article, we positively answer this question. We prove that if there are enough colors and if the random walk is recurrent with at most bounded jumps, and if it can reach every integer, then one can almost surely reconstruct almost every scenery up to translations and reflections. Our reconstruction method works if there are more colors in the scenery than possible single steps for the random walk. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2004-06-08 |
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/206 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v9-206 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 9 |
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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