Bounds for the minimum eigenvalue of a symmetric Toeplitz matrix
Electronic transactions on numerical analysis, Tome 8 (1999), pp. 127-137
In a recent paper Melman [12] derived upper bounds for the smallest eigenvalue of a real symmetric Toeplitz matrix in terms of the smallest roots of rational and polynomial approximations of the secular equation $f(\lambda ) = 0$, the best of which being constructed by the (1, 2)-Pad$\acute e$ approximation of f. In this paper we prove that this bound is the smallest eigenvalue of the projection of the given eigenvalue problem onto a Krylov space of T - 1 n of dimension 3. This interpretation of the bound suggests enhanced bounds of increasing accuracy. They can be substantially improved further by exploiting symmetry properties of the principal eigenvector of Tn.
Voss, Heinrich. Bounds for the minimum eigenvalue of a symmetric Toeplitz matrix. Electronic transactions on numerical analysis, Tome 8 (1999), pp. 127-137. http://geodesic.mathdoc.fr/item/ETNA_1999__8__a2/
@article{ETNA_1999__8__a2,
author = {Voss, Heinrich},
title = {Bounds for the minimum eigenvalue of a symmetric {Toeplitz} matrix},
journal = {Electronic transactions on numerical analysis},
pages = {127--137},
year = {1999},
volume = {8},
zbl = {0936.65044},
language = {en},
url = {http://geodesic.mathdoc.fr/item/ETNA_1999__8__a2/}
}