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Journal of Functional Analysis
Article . 2021 . Peer-reviewed
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Lebesgue-type inequalities in greedy approximation

Authors: Dilworth, S.; Garrigós, G.; Hernández, E.; Kutzarova, D.; Temlyakov, V.;

Lebesgue-type inequalities in greedy approximation

Abstract

We present new results regarding Lebesgue-type inequalities for the Weak Chebyshev Greedy Algorithm (WCGA) in uniformly smooth Banach spaces. We improve earlier bounds in Temlyakov (Forum Math Sigma 2014), for dictionaries satisfying a new property introduced here. We apply these results to derive optimal bounds in two natural examples of sequence spaces. In particular, optimality is obtained in the case of the multivariate Haar system in Lp with 1

33 pages, 1 figure

Keywords

Approximation by arbitrary nonlinear expressions; widths and entropy, Summability and bases; functional analytic aspects of frames in Banach and Hilbert spaces, weak Chebyshev greedy algorithm, Rate of convergence, degree of approximation, non-linear approximation, uniformly smooth Banach space, Functional Analysis (math.FA), Mathematics - Functional Analysis, Abstract approximation theory (approximation in normed linear spaces and other abstract spaces), Geometry and structure of normed linear spaces, Algorithms for approximation of functions, FOS: Mathematics, thresholding greedy algorithm

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    popularity
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    Top 10%
    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
Green
bronze