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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
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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. |
format | Online Article Text |
id | pubmed-5344962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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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