On generalization of Williamson's theorem to real symmetric matrices
Hemant K. Mishra

TL;DR
This paper extends Williamson's theorem to real symmetric matrices with arbitrary real diagonal elements in the symplectic eigenvalues, providing explicit constructions and perturbation bounds.
Contribution
It generalizes Williamson's theorem to broader classes of real symmetric matrices by allowing any real numbers as symplectic eigenvalues and offers explicit descriptions and bounds.
Findings
Extended Williamson's theorem to matrices with arbitrary real symplectic eigenvalues.
Constructed symplectic matrices achieving the generalized decomposition.
Established perturbation bounds on symplectic eigenvalues for a broad class of matrices.
Abstract
Williamson's theorem states that if is a real symmetric positive definite matrix then there exists a real symplectic matrix such that , where is an diagonal matrix with positive diagonal entries known as the symplectic eigenvalues of . The theorem is known to be generalized to real symmetric positive semidefinite matrices whose kernels are symplectic subspaces of , in which case, some of the diagonal entries of are allowed to be zero. In this paper, we further generalize Williamson's theorem to real symmetric matrices by allowing the diagonal elements of to be any real numbers, and thus extending the notion of symplectic eigenvalues to real symmetric matrices. Also, we provide an explicit description of symplectic eigenvalues, construct symplectic matrices…
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