𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Norms and inequalities for condition numbers, II

✍ Scribed by Albert W. Marshall; Ingram Olkin

Publisher
Elsevier Science
Year
1969
Tongue
English
Weight
283 KB
Volume
2
Category
Article
ISSN
0024-3795

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Inequalities for Green’s operator with L
Inequalities for Green’s operator with Lipschitz and BMO norms
✍ Yuming Xing; Shusen Ding πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 526 KB

In this paper, we obtain Lipschitz norm and BMO norm inequalities for Green's operator applied to differential forms. We also establish norm comparison theorems for the BMO norm and the Lipschitz norm of Green's operator.

Weighted Norm Inequalities for General M
Weighted Norm Inequalities for General Maximal Operators and Approach Regions
✍ AscensiΓ³n SΓ‘nchez-Colomer; Javier Soria πŸ“‚ Article πŸ“… 1995 πŸ› John Wiley and Sons 🌐 English βš– 427 KB

We find a characterization of a two-weight norm inequality for a maximal operator and we obtain, as a consequence, strong type estimates for the maximal function over general approach regions.

Weighted norm inequalities for L'-valued
Weighted norm inequalities for L'-valued integral operators and applications
✍ H. P. Heinig; R. Johnson πŸ“‚ Article πŸ“… 1982 πŸ› John Wiley and Sons 🌐 English βš– 593 KB

Jd5-10, 1982) .ibstract. In this paper we prore weighted norm estimates for vector valued integral operators with positive kernels. In addition weighted norm inequalities for certain general vector valued singular integral operators are obtained. Applications of these results include a generalized

Minimization of the norm, the norm of th
Minimization of the norm, the norm of the inverse and the condition number of a matrix by completion
✍ Ludwig Elsner; Chunyang He; Volker Mehrmann πŸ“‚ Article πŸ“… 1995 πŸ› John Wiley and Sons 🌐 English βš– 640 KB

We study the problem of minimizing the norm, the norm of the inverse and the condition number with respect to the spectral norm, when a submatrix of a matrix can be chosen arbitrarily. For the norm minimization problem we give a different proof than that given by Davis/Kahan/Weinberger. This new app