Computers & Mathematics with Applications
Nonnegative matrices with prescribed extremal singular values
Computers & Mathematics with Applications
Hi-index | 0.09 |
We consider the following inverse eigenvalue problem: to construct a symmetrical tridiagonal matrix from the minimal and maximal eigenvalues of all its leading principal submatrices. We give a necessary and sufficient condition for the existence of such a matrix and for the existence of a nonnegative symmetrical tridiagonal matrix. Our results are constructive, in the sense that they generate an algorithmic procedure to construct the matrix.