The probabilistic estimates on the largest and smallest $q$-singular values of random matrices
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- by Ming-Jun Lai and Yang Liu PDF
- Math. Comp. 84 (2015), 1775-1794 Request permission
Abstract:
We study the $q$-singular values of random matrices with pre-Gaussian entries defined in terms of the $\ell _{q}$-quasinorm with $0<q\le 1$. In this paper, we mainly consider the decay of the lower and upper tail probabilities of the largest $q$-singular value $s_{1}^{(q)}$, when the number of rows of the matrices becomes very large. Based on the results in probabilistic estimates on the largest $q$-singular value, we also give probabilistic estimates on the smallest $q$-singular value for pre-Gaussian random matrices.References
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Additional Information
- Ming-Jun Lai
- Affiliation: Department of Mathematics, The University of Georgia, Athens, Georgia 30602
- Email: mjlai@math.uga.edu
- Yang Liu
- Affiliation: Department of Mathematics, Michigan State University, East Lansing, Michigan 488244-1027
- Email: yliu@math.msu.edu
- Received by editor(s): November 26, 2012
- Received by editor(s) in revised form: September 23, 2013
- Published electronically: October 30, 2014
- Additional Notes: The first author was partly supported by the National Science Foundation under grant DMS-0713807
The second author was partially supported by the Air Force Office of Scientific Research under grant AFOSR 9550-12-1-0455 - © Copyright 2014 American Mathematical Society
- Journal: Math. Comp. 84 (2015), 1775-1794
- MSC (2010): Primary 60B20; Secondary 60F10, 60G50, 60G42
- DOI: https://doi.org/10.1090/S0025-5718-2014-02895-0
- MathSciNet review: 3335891