This is an announcement for the paper "Lecture notes on non-asymptotic theory of random matrices" by Mark Rudelson.
Abstract: We discuss recent developments in the study of the spectral properties of random matrices of a large fixed size, concentrating on the extreme singular values. Bounds for the extreme singular values were crucial in establishing several limit laws of random matrix theory. Besides the random matrix theory itself, these bounds have applications in geometric functional analysis and computer science.
Archive classification: math.PR math.FA
Mathematics Subject Classification: 60B20
Remarks: Lecture notes from the AMS short course on random matrices, 44
Submitted from: rudelson@umich.edu
The paper may be downloaded from the archive by web browser from URL
http://front.math.ucdavis.edu/1301.2382
or