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An eigenvalue localization set for tensors and its applications

A new eigenvalue localization set for tensors is given and proved to be tighter than those presented by Li et al. (Linear Algebra Appl. 481:36-53, 2015) and Huang et al. (J. Inequal. Appl. 2016:254, 2016). As an application of this set, new bounds for the minimum eigenvalue of [Formula: see text] -t...

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Detalles Bibliográficos
Autores principales: Zhao, Jianxing, Sang, Caili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5344962/
https://www.ncbi.nlm.nih.gov/pubmed/28337052
http://dx.doi.org/10.1186/s13660-017-1331-1
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author Zhao, Jianxing
Sang, Caili
author_facet Zhao, Jianxing
Sang, Caili
author_sort Zhao, Jianxing
collection PubMed
description A new eigenvalue localization set for tensors is given and proved to be tighter than those presented by Li et al. (Linear Algebra Appl. 481:36-53, 2015) and Huang et al. (J. Inequal. Appl. 2016:254, 2016). As an application of this set, new bounds for the minimum eigenvalue of [Formula: see text] -tensors are established and proved to be sharper than some known results. Compared with the results obtained by Huang et al., the advantage of our results is that, without considering the selection of nonempty proper subsets S of [Formula: see text] , we can obtain a tighter eigenvalue localization set for tensors and sharper bounds for the minimum eigenvalue of [Formula: see text] -tensors. Finally, numerical examples are given to verify the theoretical results.
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spelling pubmed-53449622017-03-21 An eigenvalue localization set for tensors and its applications Zhao, Jianxing Sang, Caili J Inequal Appl Research A new eigenvalue localization set for tensors is given and proved to be tighter than those presented by Li et al. (Linear Algebra Appl. 481:36-53, 2015) and Huang et al. (J. Inequal. Appl. 2016:254, 2016). As an application of this set, new bounds for the minimum eigenvalue of [Formula: see text] -tensors are established and proved to be sharper than some known results. Compared with the results obtained by Huang et al., the advantage of our results is that, without considering the selection of nonempty proper subsets S of [Formula: see text] , we can obtain a tighter eigenvalue localization set for tensors and sharper bounds for the minimum eigenvalue of [Formula: see text] -tensors. Finally, numerical examples are given to verify the theoretical results. Springer International Publishing 2017-03-09 2017 /pmc/articles/PMC5344962/ /pubmed/28337052 http://dx.doi.org/10.1186/s13660-017-1331-1 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Zhao, Jianxing
Sang, Caili
An eigenvalue localization set for tensors and its applications
title An eigenvalue localization set for tensors and its applications
title_full An eigenvalue localization set for tensors and its applications
title_fullStr An eigenvalue localization set for tensors and its applications
title_full_unstemmed An eigenvalue localization set for tensors and its applications
title_short An eigenvalue localization set for tensors and its applications
title_sort eigenvalue localization set for tensors and its applications
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5344962/
https://www.ncbi.nlm.nih.gov/pubmed/28337052
http://dx.doi.org/10.1186/s13660-017-1331-1
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