Derivatives of symplectic eigenvalues and a Lidskii type theorem
Tanvi Jain, Hemant Kumar Mishra
Abstract
Abstract Associated with every $2n\times 2n$ real positive definite matrix $A,$ there exist n positive numbers called the symplectic eigenvalues of $A,$ and a basis of $\mathbb {R}^{2n}$ called the symplectic eigenbasis of A corresponding to these numbers. In this paper, we discuss differentiability and analyticity of the symplectic eigenvalues and corresponding symplectic eigenbasis and compute their derivatives. We then derive an analogue of Lidskii’s theorem for symplectic eigenvalues as an application.
Topics & Concepts
MathematicsSymplectic geometrySymplectic matrixSymplectic vector spaceSymplectic representationSymplectomorphismEigenvalues and eigenvectorsPure mathematicsMoment mapSymplectic manifoldDifferentiable functionSymplectic groupMathematical analysisType (biology)Basis (linear algebra)Spectral Theory in Mathematical PhysicsQuantum Mechanics and Non-Hermitian PhysicsAlgebraic and Geometric Analysis