๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Asymptotically Isometric Copies ofc0in Banach Spaces

โœ Scribed by P.N Dowling; C.J Lennard; B Turett


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
189 KB
Volume
219
Category
Article
ISSN
0022-247X

No coin nor oath required. For personal study only.

โœฆ Synopsis


If โŒซ is an uncountable set, then any equivalent renorming of c โŒซ contains an 0 asymptotically isometric copy of c . If Y is an infinite dimensional closed subspace 0 ลฝ 5 5 . of c ะธ , then Y contains an asymptotically isometric copy of c . If X and Y are ฯฑ 0 0 two infinite dimensional Banach spaces and if X contains an asymptotically รฎsometric copy of c , then the injective tensor product of X and Y, X m Y, 0 contains a complemented asymptotically isometric copy of c . Similarly, if X 0 contains an asymptotically isometric copy of c , then the LebesgueแސBochner 0 p ลฝw x . space L 0, 1 , X contains a complemented asymptotically isometric copy of c . 0


๐Ÿ“œ SIMILAR VOLUMES


Asymptotically Isometric Copies of c0 an
โœ Patrick N. Dowling; Narcisse Randrianantoanina ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 138 KB

Let X be a Banach space and ยต be a finite measure space. It is shown that if 1 โ‰ค p < โˆž resp 1 < p < โˆž , the Bochner space L p ยต X contains asymptotically isometric copies of c 0 resp l 1 if and only if X does.

Strong Convergence of Averaged Approxima
โœ Naoki Shioji; Wataru Takahashi ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 129 KB

Let C be a closed, convex subset of a uniformly convex Banach space whose norm is uniformly Ga^teaux differentiable and let T be an asymptotically nonexpansive mapping from C into itself such that the set F(T ) of fixed points of T is nonempty. In this paper, we show that F(T ) is a sunny, nonexpans

Asymptotic Confidence Spheres in Certain
โœ J. Dippon ๐Ÿ“‚ Article ๐Ÿ“… 1993 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 329 KB

Gaussian limits of processes with values in type 2 Banach spaces can be used to construct asymptotic confidence regions of spherical shape. This is done by estimating the covariance of the limit distribution. Nuclearity of the covariance operators makes it possible to work in subspaces of growing di