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Journal of Mathematical Analysis and Applications
Article . 2023 . Peer-reviewed
License: Elsevier TDM
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Article . 2023
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https://dx.doi.org/10.48550/ar...
Article . 2022
License: CC BY
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Performance of the Thresholding Greedy Algorithm with larger greedy sums

Performance of the thresholding greedy algorithm with larger greedy sums
Authors: Hùng Việt Chu;

Performance of the Thresholding Greedy Algorithm with larger greedy sums

Abstract

The goal of this paper is to study the performance of the Thresholding Greedy Algorithm (TGA) when we increase the size of greedy sums by a constant factor $λ\geqslant 1$. We introduce the so-called $λ$-almost greedy and $λ$-partially greedy bases. The case when $λ= 1$ gives us the classical definitions of almost greedy and (strong) partially greedy bases. We show that a basis is almost greedy if and only if it is $λ$-almost greedy for all (some) $λ\geqslant 1$. However, for each $λ> 1$, there exists an unconditional basis that is $λ$-partially greedy but is not $1$-partially greedy. Furthermore, we investigate and give examples when a basis is 1. not almost greedy with constant $1$ but is $λ$-almost greedy with constant $1$ for some $λ> 1$, and 2. not strong partially greedy with constant $1$ but is $λ$-partially greedy with constant $1$ for some $λ> 1$. Finally, we prove various characterizations of different greedy-type bases.

23 pages. Version 03: edited based on an anonymous referee's suggestions

Related Organizations
Keywords

partially greedy, Mathematics - Functional Analysis, reverse partially greedy bases, Abstract approximation theory (approximation in normed linear spaces and other abstract spaces), 41A65, 46B15, Summability and bases; functional analytic aspects of frames in Banach and Hilbert spaces, FOS: Mathematics, greedy, characterizations, almost greedy, Functional Analysis (math.FA)

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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!
4
Top 10%
Average
Average
Green