Twice differentiable spectral functions (Q2784352)

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scientific article; zbMATH DE number 1732247
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Twice differentiable spectral functions
scientific article; zbMATH DE number 1732247

    Statements

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    23 April 2002
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    spectral function
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    twice differentiable
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    eigenvalue optimisation
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    semidefinite program
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    symmetric function
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    perturbation theory
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    Hadamard product
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    Hessian
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    Euclidean space of symmetric matrices
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    inner product
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    Twice differentiable spectral functions (English)
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    The basic elements of the paper are \(S^{n}\) as the Euclidean space of all \(n\times n\) symmetric matrices with inner product \(<A,B>=\)tr\((A\cdot B)\), the vector \(\lambda (A)=(\lambda_{1}(A),\lambda_{2}(A),\dots\lambda{n}(A))\) of its eigenvalues ordered in nonincreasing order and a symmetric function \(f:\mathbb{R}^{n}\mapsto \mathbb{R}\). Firstly, the authors prove some results on \(S^{n}\) and for the symmetric function (\(f(x)=f(P(x))\) for any permutation matrix \(P\) on \(x\)).NEWLINENEWLINEThe main result gives the condition for a symmetric function to be twice differentiable. So, the symmetric function \(f\) is \(C^{2}\) at the point \(\mu\) iff \(f\circ \lambda\) is \(C^{2}\) at the point Diag\(\mu\). For a symmetric matrix \(A\) the symmetric function \(f\) is \(C^{2}\) at the point \(\lambda (A)\) iff the spectral function \(f\circ \lambda\) is \(C^{2}\) at the matrix \(A\). In the both theorems the expression of the Hessian is given.
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