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arxiv: 1803.04647 · v1 · pith:7AH6STGAnew · submitted 2018-03-13 · 🧮 math-ph · math.MP

On symplectic eigenvalues of positive definite matrices

classification 🧮 math-ph math.MP
keywords symplecticeigenvaluesmatrixpositivearraydefinitediagonalinequalities
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If $A$ is a $2n \times 2n$ real positive definite matrix, then there exists a symplectic matrix $M$ such that $M^TAM = \left [ \begin{array}{cc} D & O \\ O & D \end{array} \right ]$ where $D= \diag (d_1 (A), \ldots, d_n(A))$ is a diagonal matrix with positive diagonal entries, which are called the symplectic eigenvalues of $A.$ In this paper we derive several fundamental inequalities about these numbers. Among them are relations between the symplectic eigenvalues of $A$ and those of $A^t,$ between the symplectic eigenvalues of $m$ matrices $A_1, \ldots, A_m$ and of their Riemannian mean, a perturbation theorem, some variational principles, and some inequalities between the symplectic and ordinary eigenvalues.

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  1. On generalization of Williamson's theorem to real symmetric matrices

    math.FA 2024-08 unverdicted novelty 6.0

    Generalizes Williamson's theorem to real symmetric matrices allowing arbitrary real symplectic eigenvalues, with explicit constructions and perturbation bounds for the class EigSpSm(2n).