2011
DOI: 10.1142/s0129167x1100715x
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Norm and Anti-Norm Inequalities for Positive Semi-Definite Matrices

Abstract: Some subadditivity results involving symmetric (unitarily invariant) norms are obtained. For instance, if [Formula: see text] is a polynomial of degree m with non-negative coefficients, then, for all positive operators A, B and all symmetric norms, [Formula: see text] To give parallel superadditivity results, we investigate anti-norms, a class of functionals containing the Schatten q-norms for q ∈ (0, 1] and q < 0. The results are extensions of the Minkowski determinantal inequality. A few estimates for blo… Show more

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Cited by 30 publications
(53 citation statements)
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“…The above proof is much simpler than the original one. For more details and many results on anti-norms and derived anti-norms, often in connection with Theorem 2.1, see [10,11]. Several results in these papers are generalizations of Corollary 2.3.…”
Section: Comments and Referencesmentioning
confidence: 96%
See 1 more Smart Citation
“…The above proof is much simpler than the original one. For more details and many results on anti-norms and derived anti-norms, often in connection with Theorem 2.1, see [10,11]. Several results in these papers are generalizations of Corollary 2.3.…”
Section: Comments and Referencesmentioning
confidence: 96%
“…There exist also some subadditivity results involving convex functions[10]. For instance, let g(t) = m k=0 a k t k be a polynomial of degree m with all non-negative coefficients.…”
mentioning
confidence: 99%
“…We have quite a few examples of symmetric anti-norms on M + n . The following are among important examples [6,7].…”
Section: Norm Functions Involving Operator Meansmentioning
confidence: 99%
“…for all A, B ∈ M + l , all reals λ ≥ 0 and all unitaries U in M l . This notion is the superadditive version of usual symmetric norms (see [5] for details on anti-norms). The typical example is the Ky Fan k-anti-norm A {k} := k j=1 λ l+1−j (A) for 1 ≤ k ≤ l, the anti-norm version of Ky Fan k-norm A (k) := k j=1 λ j (A), where λ 1 (A) ≥ · · · ≥ λ l (A) are the eigenvalues of A ∈ M + l in decreasing order with multiplicities.…”
Section: Norm Functions Involving Operator Meansmentioning
confidence: 99%