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An eigenvalue majorization inequality for positive semidefinite block matrices

机译:半正定块矩阵的特征值不等式

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摘要

Let be a Hermitian matrix. It is known that the vector of diagonal elements of H, diag(H), is majorized by the vector of the eigenvalues of H, λ(H), and that this majorization can be extended to the eigenvalues of diagonal blocks of H. Reverse majorization results for the eigenvalues are our goal. Under the additional assumptions that H is positive semidefinite and the block K is Hermitian, the main result of this article provides a reverse majorization inequality for the eigenvalues. This results in the following majorization inequalities when combined with known majorization inequalites on the left: diag(H) < λ(M ? N) < λ(H) < λ ((M + N) ? 0).
机译:设厄米矩阵。已知H的对角线元素diag(H)的向量通过H的特征值向量λ(H)进行了主化,并且该主化可以扩展到H的对角线块的本征值。特征值的主化结果是我们的目标。在H为正半定且块K为Hermitian的附加假设下,本文的主要结果为特征值提供了反向主化不等式。当与左侧的已知主要不等式结合时,将导致以下主要不等式:diag(H)<λ(M?N)<λ(H)<λ((M + N)?0)。

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