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zbMATH Open
Article . 2025
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Carpathian Journal of Mathematics
Article . 2024 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2023
License: arXiv Non-Exclusive Distribution
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Approximation by polynomials with constant coefficients and the Thresholding Greedy Algorithm

Approximation by polynomials with constant coefficients and the thresholding greedy algorithm
Authors: Berasategui, Miguel; Berná, Pablo M.; González, David;

Approximation by polynomials with constant coefficients and the Thresholding Greedy Algorithm

Abstract

Greedy bases are those bases where the Thresholding Greedy Algorithm (introduced by S. V. Konyagin and V. N. Temlyakov) produces the best possible approximation up to a constant. In 2017, P. M. Bern´a and ´O. Blasco gave a characterization of these bases using polynomials with constant coefficients. In this paper, we continue this study improving some optimization problems and extending some results to the context of quasi-Banach spaces.

Keywords

Mathematics - Functional Analysis, Abstract approximation theory (approximation in normed linear spaces and other abstract spaces), unconditional bases, Summability and bases; functional analytic aspects of frames in Banach and Hilbert spaces, FOS: Mathematics, greedy bases, Functional Analysis (math.FA), 46B15

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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!
0
Average
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