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Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

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Open Access Research Article

On eigenvalue, singular value and norm of symmetric matrices

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pp. 689–696Vol. 44Issue 4May 2023DOI: 10.47974/JIOS-1227XML
Received:
02 Feb 2022
Accepted:
02 Jul 2022
Published Online:
28 Aug 2023
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1227
Pages:
689–696

Abstract

Symmetric matrices play an important role in data science. In this paper, we present some new results on the eigenvalues, singular values, the spectral and Euclidean norms of real symmetric matrices in form  A = [xi + xj]ni, j = 1.

Keywords

Subject Classifications

(2010) 15B0515B5715A1815A60

References

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