Poisson Statistics for the Largest Eigenvalues of Wigner Random Matrices with Heavy Tails
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1. | Title | Title of document | Poisson Statistics for the Largest Eigenvalues of Wigner Random Matrices with Heavy Tails |
2. | Creator | Author's name, affiliation, country | Alexander Soshnikov; University of California at Davis, USA |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | |
4. | Description | Abstract | We study large Wigner random matrices in the case when the marginal distributions of matrix entries have heavy tails. We prove that the largest eigenvalues of such matrices have Poisson |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2004-08-24 |
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/1112 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v9-1112 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in 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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