Canonical Sets of Best L1-Approximation

In mathematics, the term approximation usually means either interpolation on a point set or approximation with respect to a given distance. There is a concept, which joins the two approaches together, and this is the concept of characterization of the best approximants via interpolation. It turns ou...

Full description

Saved in:
Bibliographic Details
Main Authors: Dimiter Dryanov, Petar Petrov
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Function Spaces and Applications
Online Access:http://dx.doi.org/10.1155/2012/435945
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832551747032186880
author Dimiter Dryanov
Petar Petrov
author_facet Dimiter Dryanov
Petar Petrov
author_sort Dimiter Dryanov
collection DOAJ
description In mathematics, the term approximation usually means either interpolation on a point set or approximation with respect to a given distance. There is a concept, which joins the two approaches together, and this is the concept of characterization of the best approximants via interpolation. It turns out that for some large classes of functions the best approximants with respect to a certain distance can be constructed by interpolation on a point set that does not depend on the choice of the function to be approximated. Such point sets are called canonical sets of best approximation. The present paper summarizes results on canonical sets of best L1-approximation with emphasis on multivariate interpolation and best L1-approximation by blending functions. The best L1-approximants are characterized as transfinite interpolants on canonical sets. The notion of a Haar-Chebyshev system in the multivariate case is discussed also. In this context, it is shown that some multivariate interpolation spaces share properties of univariate Haar-Chebyshev systems. We study also the problem of best one-sided multivariate L1-approximation by sums of univariate functions. Explicit constructions of best one-sided L1-approximants give rise to well-known and new inequalities.
format Article
id doaj-art-8b90c05869ad4000a9e6b076705e9238
institution Kabale University
issn 0972-6802
1758-4965
language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Journal of Function Spaces and Applications
spelling doaj-art-8b90c05869ad4000a9e6b076705e92382025-02-03T06:00:42ZengWileyJournal of Function Spaces and Applications0972-68021758-49652012-01-01201210.1155/2012/435945435945Canonical Sets of Best L1-ApproximationDimiter Dryanov0Petar Petrov1Department of Mathematics and Statistics, Concordia University, Montreal, QC, H3G 1M8, CanadaNumerical Modeling Department, Leibniz Institute for Crystal Growth, Max-Born-Street 2, D-12489 Berlin, GermanyIn mathematics, the term approximation usually means either interpolation on a point set or approximation with respect to a given distance. There is a concept, which joins the two approaches together, and this is the concept of characterization of the best approximants via interpolation. It turns out that for some large classes of functions the best approximants with respect to a certain distance can be constructed by interpolation on a point set that does not depend on the choice of the function to be approximated. Such point sets are called canonical sets of best approximation. The present paper summarizes results on canonical sets of best L1-approximation with emphasis on multivariate interpolation and best L1-approximation by blending functions. The best L1-approximants are characterized as transfinite interpolants on canonical sets. The notion of a Haar-Chebyshev system in the multivariate case is discussed also. In this context, it is shown that some multivariate interpolation spaces share properties of univariate Haar-Chebyshev systems. We study also the problem of best one-sided multivariate L1-approximation by sums of univariate functions. Explicit constructions of best one-sided L1-approximants give rise to well-known and new inequalities.http://dx.doi.org/10.1155/2012/435945
spellingShingle Dimiter Dryanov
Petar Petrov
Canonical Sets of Best L1-Approximation
Journal of Function Spaces and Applications
title Canonical Sets of Best L1-Approximation
title_full Canonical Sets of Best L1-Approximation
title_fullStr Canonical Sets of Best L1-Approximation
title_full_unstemmed Canonical Sets of Best L1-Approximation
title_short Canonical Sets of Best L1-Approximation
title_sort canonical sets of best l1 approximation
url http://dx.doi.org/10.1155/2012/435945
work_keys_str_mv AT dimiterdryanov canonicalsetsofbestl1approximation
AT petarpetrov canonicalsetsofbestl1approximation