Probability Seminar
Department of Mathematical Sciences |
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Louis Yang Liu University of Georgia
Title: Probability Estimate for Generalized Extremal Singular Values of Random Matrices
We give the upper tail probability estimate on the extremal p-singular values of pregaussian random matrices, and also the lower tail probability estimate.
The extremal singular values of random matrices in $\ell_2$-norm, including Gaussian random matrices, Bernoulli random matrices, subgaussian random matrices, etc, have attracted major research interest in recent years.
In this talk, we study the p-singular values random matrices, defined in terms of the $\ell_p$-norm for $p>1$ and $\ell_p$-quasinorm for p between 0 and 1.
We give the upper tail probability estimate on the extremal p-singular values of pregaussian random matrices, and also the lower tail probability estimate.
©2010, Department of Mathematical Sciences
Last Modified:
February 26, 2009