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Numerical Linear Algebra with Applications
Article . 2024 . Peer-reviewed
License: CC BY NC ND
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Article . 2024
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Article . 2024
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Total positivity and high relative accuracy for several classes of Hankel matrices

Total positivity and high relative accuracy for several classes of Hankel matrices.
Authors: E. Mainar; J.M. Peña; B. Rubio;

Total positivity and high relative accuracy for several classes of Hankel matrices

Abstract

SummaryGramian matrices with respect to inner products defined for Hilbert spaces supported on bounded and unbounded intervals are represented through a bidiagonal factorization. It is proved that the considered matrices are strictly totally positive Hankel matrices and their catalecticant determinants are also calculated. Using the proposed representation, the numerical resolution of linear algebra problems with these matrices can be achieved to high relative accuracy. Numerical experiments are provided, and they illustrate the excellent results obtained when applying the theoretical results.

Country
Spain
Keywords

Hankel matrices, Numerical linear algebra, high relative accuracy, bidiagonal decompositions, Factorization of matrices, Gramian matrices, totally positive matrices

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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!
1
Average
Average
Average
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