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Research Article | Open Access

Supporting vectors vs. principal components

Almudena P. Márquez1( )Francisco Javier García-Pacheco1Míriam Mengibar-Rodríguez2Alberto Sánchez-Alzola3
Department of Mathematics, College of Engineering, University of Cadiz, 11519 Puerto Real, Spain
Department of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain
Department of Statistics and Operation Research, University of Cadiz, 11519 Puerto Real, Spain
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Abstract

Let T : X Y be a bounded linear operator between Banach spaces X , Y. A vector x 0 S X in the unit sphere S X of X is called a supporting vector of T provided that T ( x 0 ) = sup { T ( x ) : x = 1 } = T . Since matrices induce linear operators between finite-dimensional Hilbert spaces, we can consider their supporting vectors. In this manuscript, we unveil the relationship between the principal components of a matrix and its supporting vectors. Applications of our results to real-life problems are provided.

CLC number: 51F30, 54E35, 54E45

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AIMS Mathematics
Pages 1937-1958

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Cite this article:
Márquez AP, García-Pacheco FJ, Mengibar-Rodríguez M, et al. Supporting vectors vs. principal components. AIMS Mathematics, 2023, 8(1): 1937-1958. https://doi.org/10.3934/math.2023100

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Received: 10 July 2022
Revised: 29 September 2022
Accepted: 08 October 2022
Published: 15 January 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)