A tighter M-eigenvalue localization set for partially symmetric tensors and its an application
In this paper, a new M-eigenvalue inclusion set for a partially symmetric tensor is provided. It is proved that the new set is tighter than some existing M-eigenvalue inclusion sets. Based on the obtained results, an upper bound of the largest M-eigenvalue is given and a modified WQZ-algorithm is es...
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Published in | AIMS mathematics Vol. 7; no. 4; pp. 6084 - 6098 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
AIMS Press
2022
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Subjects | |
Online Access | Get full text |
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Summary: | In this paper, a new M-eigenvalue inclusion set for a partially symmetric tensor is provided. It is proved that the new set is tighter than some existing M-eigenvalue inclusion sets. Based on the obtained results, an upper bound of the largest M-eigenvalue is given and a modified WQZ-algorithm is established which guarantees the generated converges to the largest M-eigenvalue of the tensor faster. |
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ISSN: | 2473-6988 2473-6988 |
DOI: | 10.3934/math.2022339 |