On the Role of ℓ∞ in Approximation Theory
B. L. Chalmers and
B. Shekhtman
Additional contact information
B. L. Chalmers: University of California, Department of Mathematics
B. Shekhtman: University of South Florida, Department of Mathematics
A chapter in Approximation, Probability, and Related Fields, 1994, pp 151-160 from Springer
Abstract:
Abstract Given a family of finite-dimensional subspaces V n in C[0,1], it is important to develop an algorithm that to a given function f ∈ C[0,1] assigns an approximation P n f ∈ V n . This algorithm should be “ simple ” and “ good ”. That translates into P n being a continuous linear map from C[0,1] in V n such that ∥f − P n f∥ ≤ C dist(f, V n ) where the constant C does not depend on n. Using the principle of uniform boundedness it is easy to show that the above-mentioned conditions are equivalent to the existence of projections (linear, idempotent operators) P n from C[0,1] onto V n such that ∥P n∥ ≤ C.
Keywords: Unit Ball; Minimal Projection; Isometric Copy; Projection Constant; Idempotent Operator (search for similar items in EconPapers)
Date: 1994
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4615-2494-6_10
Ordering information: This item can be ordered from
http://www.springer.com/9781461524946
DOI: 10.1007/978-1-4615-2494-6_10
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().