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Symplectic eigenvalues of positive-semidefinite matrices and the trace minimization theorem

Nguyen Thanh Son, Tatjana Stykel

2022Electronic Journal of Linear Algebra11 citationsDOIOpen Access PDF

Abstract

Symplectic eigenvalues are conventionally defined for symmetric positive-definite matrices via Williamson's diagonal form. Many properties of standard eigenvalues, including the trace minimization theorem, have been extended to the case of symplectic eigenvalues. In this note, we will generalize Williamson's diagonal form for symmetric positive-definite matrices to the case of symmetric positive-semidefinite matrices, which allows us to define symplectic eigenvalues, and prove the trace minimization theorem in the new setting.

Topics & Concepts

Positive-definite matrixMathematicsEigenvalues and eigenvectorsTRACE (psycholinguistics)Symplectic geometryDiagonalSymplectic matrixPure mathematicsMinificationSymmetric matrixCombinatoricsSymplectic representationMoment mapMathematical optimizationQuantum mechanicsPhysicsGeometryPhilosophyLinguisticsMatrix Theory and AlgorithmsSparse and Compressive Sensing Techniquesgraph theory and CDMA systems
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