Paper
28 March 2023 On the minimum eigenvalue of the fan product
Qin Zhong, Ling Li
Author Affiliations +
Proceedings Volume 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022); 125970I (2023) https://doi.org/10.1117/12.2672239
Event: Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 2022, Nanjing, China
Abstract
For two M-matrices, a sharper lower bound for the minimal eigenvalue of the fan product is proposed by applying the characteristic value containing the domain theorem. The estimating formula only involves the entries of two M-matrices. Hence, the lower bound is easy to calculate in practical examples. An example is considered to illustrate our results.
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Qin Zhong and Ling Li "On the minimum eigenvalue of the fan product", Proc. SPIE 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 125970I (28 March 2023); https://doi.org/10.1117/12.2672239
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KEYWORDS
Matrices

Estimation theory

Mathematics

MATLAB

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