Invertibility of random matrices: norm of the inverse
| dc.creator | Rudelson, Mark | |
| dc.date | 2005-07-01 | |
| dc.date.accessioned | 2026-07-07T05:21:19Z | |
| dc.date.available | 2026-07-07T05:21:19Z | |
| dc.description | Let A be an n by n matrix, whose entries are independent copies of a centered random variable satisfying the subgaussian tail estimate. We prove that the operator norm of A^{-1} does not exceed Cn^{3/2} with probability close to 1. | |
| dc.description | 25 pages | |
| dc.identifier | https://arxiv.org/abs/math/0507024 | |
| dc.identifier | http://arxiv.org/abs/math/0507024 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/75648 | |
| dc.subject | Functional Analysis | |
| dc.subject | 15A52, 46B09 | |
| dc.title | Invertibility of random matrices: norm of the inverse | |
| dc.type | text |