1,910 research outputs found

    A concavity inequality for symmetric norms

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    We review some convexity inequalities for Hermitian matrices an add one more to the list.Comment: accepted in LA

    Total Dilations

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    (1) Let AA be an operator on a space H{\cal H} of even finite dimension. Then for some decomposition H=FF{\cal H}={\cal F}\oplus{\cal F}^{\perp}, the compressions of AA onto F{\cal F} and F{\cal F}^{\perp} are unitarily equivalent. (2) Let {Aj}j=0n\{A_j\}_{j=0}^n be a family of strictly positive operators on a space H{\cal H}. Then, for some integer kk, we can dilate each AjA_j into a positive operator BjB_j on kH\oplus^k{\cal H} in such a way that: (i) The operator diagonal of BjB_j consists of a repetition of AjA_j. (ii) There exist a positive operator BB on kH\oplus^k{\cal H} and an increasing function fj:(0,)(0,)f_j : (0,\infty)\longrightarrow(0,\infty) such that Bj=fj(B)B_j=f_j(B).Comment: 12 page

    Compressions and Pinchings

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    There exist operators AA such that : for any sequence of contractions {An}\{A_n\}, there is a total sequence of mutually orthogonal projections {En}\{E_n\} such that ΣEnAEn=An\Sigma E_nAE_n=\bigoplus A_n.Comment: 11 page

    Symmetric norms and reverse inequalities to Davis and Hansen-Pedersen characterizations of operator convexity

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    Some rearrangement inequalities for symmetric norms on matrices are given as well as related results for operator convex functions.Comment: to appear in MI

    An asymmetric Kadison's inequality

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    Some inequalities for positive linear maps on matrix algebras are given, especially asymmetric extensions of Kadison's inequality and several operator versions of Chebyshev's inequality. We also discuss well-known results around the matrix geometric mean and connect it with complex interpolation.Comment: To appear in LA

    A matrix subadditivity inequality for f(A+B) and f(A)+f(B)

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    Let f be a non-negative concave function on the positive half-line. Let A and B be two positive matrices. Then, for all symmetric norms, || f(A+B) || is less than || f(A)+f(B) ||. When f is operator concave, this was proved by Ando and Zhan. Our method is simpler. Several related results are presented.Comment: accepted in LA
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