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A note on numerical ranges of tensors.

Authors :
Chandra Rout, Nirmal
Panigrahy, Krushnachandra
Mishra, Debasisha
Source :
Linear & Multilinear Algebra. 2023, Vol. 71 Issue 16, p2645-2669. 25p.
Publication Year :
2023

Abstract

Theory of numerical range and numerical radius for tensors is not studied much in the literature. Ke et al. [Linear Algebra Appl. 508 (2016), 100-132: MR3542984] introduced first the notion of the numerical range of a tensor via the k-mode product. However, the convexity of the numerical range via the k-mode product was not proved by them. In this paper, the notion of numerical range and numerical radius for even-order square tensors via the Einstein product are introduced first. Using the notion of the numerical radius of a tensor, we provide some sufficient conditions for a tensor to be unitary. The convexity of the numerical range is also proved. We also provide an algorithm to plot the numerical range of a tensor. Furthermore, some properties of the numerical range for the Moore–Penrose inverse of a tensor are discussed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03081087
Volume :
71
Issue :
16
Database :
Academic Search Index
Journal :
Linear & Multilinear Algebra
Publication Type :
Academic Journal
Accession number :
173436040
Full Text :
https://doi.org/10.1080/03081087.2022.2117771