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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Veröffentlicht in: | AIMS mathematics 2022, Vol.7 (4), p.6084-6098 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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 |