Estimates with Second Order Moduli
Radu Păltănea
Additional contact information
Radu Păltănea: Transilvania University, Department of Mathematics
Chapter 2 in Approximation Theory Using Positive Linear Operators, 2004, pp 15-68 from Springer
Abstract:
Abstract In this chapter we continue the study of estimating the degree of an approximation using general linear positive operators by considering combinations of first and second order moduli, in terms of the moments of order 0, 1, and 2, see Remark 1.2.4. Estimates with such combinations of first and second order modulus, (and also with the absolute value of the function, which can be regarded as a modulus of order 0) are more refined then estimates using only the first modulus. A first observation is that, from estimates with the second order modules, one can derive estimates with the first order modulus. A second observation is the fact that such combinations decompose the error of approximation in three components, corresponding to three specific features of the functions that affect the error: amplitude, deviation from the linear functions, and deviation from the polynomials of degree 2. Roughly speaking, these moduli measure the deviation from the test functions of the algebraic Chebychev system.
Keywords: Interior Point; Auxiliary Result; Direct Part; Bernstein Operator; Positive Borel Measure (search for similar items in EconPapers)
Date: 2004
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:978-1-4612-2058-9_2
Ordering information: This item can be ordered from
http://www.springer.com/9781461220589
DOI: 10.1007/978-1-4612-2058-9_2
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 ().