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Applied and Computational Harmonic Analysis
Article
License: Elsevier Non-Commercial
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Applied and Computational Harmonic Analysis
Article . 1997
License: Elsevier Non-Commercial
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Applied and Computational Harmonic Analysis
Article . 1997 . Peer-reviewed
License: Elsevier Non-Commercial
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zbMATH Open
Article . 1997
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New Characterizations of Riesz Bases

New characterizations of Riesz bases
Authors: Kim, Hong Oh; Lim, Jae Kun;

New Characterizations of Riesz Bases

Abstract

Using the projection method for frames [\textit{O. Christensen}, Appl. Comput. Harmon. Anal. 1, No. 1, 50-53 (1993; Zbl 0849.42025)] this paper gives two equivalent conditions for a frame to be a Riesz basis in a separable Hilbert space. These conditions emerge from taking the limit in a sequence of nested finite dimensional subspaces. As a bonus, expressions for the Riesz bounds are obtained by taking the limit for the Riesz bounds of the finite dimensional subspaces. These can be expressed in terms of the largest and smallest eigenvalues of the Gram matrix of these subspaces.

Related Organizations
Keywords

projection method, Applied Mathematics, frames, eigenvalues, General harmonic expansions, frames, Riesz bounds, Riesz basis

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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!
25
Top 10%
Top 10%
Average
hybrid