Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1146842 | Journal of Multivariate Analysis | 2009 | 21 Pages |
Abstract
We consider a class of matrices of the form Cn=(1/N)An1/2XnBnXnâÃAn1/2, where Xn is an nÃN matrix consisting of i.i.d. standardized complex entries, An1/2 is a nonnegative definite square root of the nonnegative definite Hermitian matrix An, and Bn is diagonal with nonnegative diagonal entries. Under the assumption that the distributions of the eigenvalues of An and Bn converge to proper probability distributions as nNâcâ(0,â), the empirical spectral distribution of Cn converges a.s. to a non-random limit. We show that, under appropriate conditions on the eigenvalues of An and Bn, with probability 1, there will be no eigenvalues in any closed interval outside the support of the limiting distribution, for sufficiently large n. The problem is motivated by applications in spatio-temporal statistics and wireless communications.
Related Topics
Physical Sciences and Engineering
Mathematics
Numerical Analysis
Authors
Debashis Paul, Jack W. Silverstein,