Here are three examples that we will consider. In each case, we have pre-computed the eigenvalues and eigenvectors (check them yourself). \[ A = \begin{bmatrix} 2 & 2 ...
The eigenvector empirical spectral distribution (VESD) is a useful tool in studying the limiting behavior of eigenvalues and eigenvectors of covariance matrices. In this paper, we study the ...
SIAM Journal on Numerical Analysis, Vol. 25, No. 3 (Jun., 1988), pp. 679-691 (13 pages) For a matrix A(z) whose entries are complex valued functions of a complex variable z, results are presented ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback