Large deviations for the largest eigenvalue of rank one deformations of Gaussian ensembles
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Large deviations for the largest eigenvalue of rank one deformations of Gaussian ensembles |
2. | Creator | Author's name, affiliation, country | Mylène Maida; Université Paris-Sud |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | large deviations ; random matrices |
3. | Subject | Subject classification | 60F10 ; 15A52 |
4. | Description | Abstract | We establish a large deviation principle for the largest eigenvalue of a rank one deformation of a matrix from the GUE or GOE. As a corollary, we get another proof of the phenomenon, well-known in learning theory and finance, that the largest eigenvalue separates from the bulk when the perturbation is large enough. A large part of the paper is devoted to an auxiliary result on the continuity of spherical integrals in the case when one of the matrix is of rank one, as studied in one of our previous works. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2007-08-25 |
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/438 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v12-438 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 12 |
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
|