Small Deviations for Beta Ensembles
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Small Deviations for Beta Ensembles |
2. | Creator | Author's name, affiliation, country | Michel Ledoux; Université de Toulouse; France |
2. | Creator | Author's name, affiliation, country | Brian Rider; University of Colorado Boulder; United States |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Random matrices, eigenvalues, small deviations |
3. | Subject | Subject classification | Primary 60B20; Secondary 60F99 |
4. | Description | Abstract | We establish various small deviation inequalities for the extremal (soft edge) eigenvalues in the beta-Hermite and beta-Laguerre ensembles. In both settings, upper bounds on the variance of the largest eigenvalue of the anticipated order follow immediately. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | French ANR GRANDMA (Ledoux). NSF grant DMS-0645756 (Rider). |
7. | Date | (YYYY-MM-DD) | 2010-08-23 |
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/798 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v15-798 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 15 |
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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