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.
@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/}
}
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/