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Reverse Young and Heinz inequalities for matrices. (English) Zbl 1225.15022

The well known Young and Heinz inequalities for positive real numbers have been generalized to positive semidefinite Hermitian matrices (see, for example, R. Merris and S. Pierce [Proc. Am. Math. Soc. 31, 437–440 (1972; Zbl 0209.06404)]). In the present paper the authors use similar methods to prove reverse inequalities. The main lemma from which their results follow is: If \(Q\) is an \(n\times n\) positive definite Hermitian matrix, and \(0\) \(\leq\nu \leq1\), then
\[ r_{0}(I-Q^{1/2})^{2}+Q^{1-\nu}\leq\nu I+(1-\nu)Q\leq R_{0}(I-Q^{1/2} )^{2}+Q^{1-\nu} \]
where \(r_{0}=\min(\nu,1-\nu)\) and \(R_{0}=\max(\nu,1-\nu).\) (The left hand inequality is essentially a strengthened form of the Young inequality, and the right hand inequality is the so-called reverse inequality.)

MSC:

15A45 Miscellaneous inequalities involving matrices
15B48 Positive matrices and their generalizations; cones of matrices
15B57 Hermitian, skew-Hermitian, and related matrices

Citations:

Zbl 0209.06404
Full Text: DOI

References:

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