eigenvalue inequality
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Mathematics ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 723
Author(s):  
Yonggang Li ◽  
Jing Wang ◽  
Huafei Sun

The matrix eigenvalue is very important in matrix analysis, and it has been applied to matrix trace inequalities, such as the Lieb–Thirring–Araki theorem and Thompson–Golden theorem. In this manuscript, we obtain a matrix eigenvalue inequality by using the Stein–Hirschman operator interpolation inequality; then, according to the properties of exterior algebra and the Schur-convex function, we provide a new proof for the generalization of the Lieb–Thirring–Araki theorem and Furuta theorem.


2020 ◽  
Vol 585 ◽  
pp. 45-49 ◽  
Author(s):  
Zhaolin Jiang ◽  
Mathieu Lin

2019 ◽  
Vol 109 ◽  
pp. 65-73 ◽  
Author(s):  
Yi Wang ◽  
Sainan Zheng

2017 ◽  
Vol 65 (10) ◽  
pp. 2145-2151 ◽  
Author(s):  
Jun-Tong Liu ◽  
Yiu-Tung Poon ◽  
Qing-Wen Wang

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Shmuel Friedland

AbstractIn this paper we give necessary and sufficient conditions for the equality case in Wielandt’s eigenvalue inequality.


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