Subadditivity of matrix phi-entropy and concentration of random matrices
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Subadditivity of matrix phi-entropy and concentration of random matrices |
2. | Creator | Author's name, affiliation, country | Joel A. Tropp; California Institute of Technology; United States |
2. | Creator | Author's name, affiliation, country | Richard Yuhua Chen; California Institute of Technology; United States |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Entropy; inequalities; random matrices; large deviations |
3. | Subject | Subject classification | 60B20; 60E15; 60F10 |
4. | Description | Abstract | This paper considers a class of entropy functionals defined for random matrices, and it demonstrates that these functionals satisfy a subadditivity property. Several matrix concentration inequalities are derived as an application of this result. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | ONR, AFOSR, Sloan Foundation, Moore Foundation |
7. | Date | (YYYY-MM-DD) | 2014-03-02 |
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/2964 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v19-2964 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 19 |
12. | Language | English=en | 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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