𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Further lower bounds for the smallest singular value

✍ Scribed by Charles R. Johnson; Tomasz Szulc


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
464 KB
Volume
272
Category
Article
ISSN
0024-3795

No coin nor oath required. For personal study only.

✦ Synopsis


In an earlier paper of the first author, Gersgorin's theorem was used in a novel way to give a simple lower bound for the smallest singular value of a general complex matrix. That lower bound was stronger than previous published bounds. Here, we use three variants of Gersgorin's theorem in a similar way to give further lower bounds.

Each of the new bounds is more complicated, but generally stronger, than the pure Gersgorin-based bound. The three new bounds are mutually noncomparable.


πŸ“œ SIMILAR VOLUMES


Further bounds for the smallest singular
✍ O. Rojo πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 541 KB

We derive monotonic sequences of bounds for the extreme singular values. In particular, we find further lower bounds for the smallest singular value which improve the bounds of Yu and Gun. Also, we give new upper bounds for the spectral condition number. ~

Bounds for norms of the matrix inverse a
✍ Nenad Morača πŸ“‚ Article πŸ“… 2008 πŸ› Elsevier Science 🌐 English βš– 172 KB

In the first part, we obtain two easily calculable lower bounds for A -1 , where β€’ is an arbitrary matrix norm, in the case when A is an M-matrix, using first row sums and then column sums. Using those results, we obtain the characterization of M-matrices whose inverses are stochastic matrices. With