Generalization of the Lieb–Thirring–Araki Inequality and Its Applications

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 ineq...

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Published inMathematics (Basel) Vol. 9; no. 7; p. 723
Main Authors Li, Yonggang, Wang, Jing, Sun, Huafei
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.04.2021
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Abstract 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.
AbstractList 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.
Author Wang, Jing
Sun, Huafei
Li, Yonggang
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10.1103/PhysRev.137.B1127
10.1007/978-3-642-65755-9
ContentType Journal Article
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SubjectTerms Algebra
Eigenvalues
Inequality
Interpolation
Lieb–Thirring–Araki theorem
Mathematical functions
matrix eigenvalue
Matrix methods
Operators (mathematics)
Theorems
Thompson–Golden theorem
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