Santa Clara University

Melman, Aaron

M.Sc. in Applied Mathematics, Technion (Israel Institute of Technology) Ph.D. in Applied Mathematics, Caltech (California Institute of Technology) [1] A. Melman (2023): “Matrices whose eigenvalues are ...
JSTOR Daily

On Wielandt's Inequality and Its Application to the Asymptotic Distribution of the Eigenvalues of a Random Symmetric Matrix

A relatively obscure eigenvalue due to Wielandt is used to give a simple derivation of the asymptotic distribution of the eigenvalues of a random symmetric matrix. The asymptotic distributions are ...
uni

The inverse eigenvalue problem

Now assume to be symmetric with non-zero off-diagonal elements, i.e. , . Let be the eigenvalues and the normalized eigenvectors of T, i.e. We consider the inverse problem: Determine from and . It is ...
JSTOR Daily

On Rank Estimation in Symmetric Matrices: The Case of Indefinite Matrix Estimators

This is a preview. Log in through your library . Abstract In this paper we consider estimating the rank of an unknown symmetric matrix based on a symmetric, asymptotically normal estimator of the ...
Simon Fraser University

EIGVAL Function

where A is a square numeric matrix. The EIGVAL function returns a column vector of the eigenvalues of A. See the description of the EIGEN subroutine for more details. The following code computes ...