Parametrization of degenerate density matrices
Tae-Hun Lee

TL;DR
This paper introduces a parametrization method for degenerate density matrices using spectral representation, focusing on eigenvalue degeneracies, symmetries, and eliminating redundant parameters to facilitate physical and mathematical applications.
Contribution
It provides a novel parametrization approach that explicitly accounts for degeneracies and symmetries in density matrices, simplifying their representation and analysis.
Findings
Degeneracies are characterized by pairs of identical eigenvalues.
All degeneracies are represented as phase-rotation blocks within the unitary matrix.
A diagrammatic method is proposed to transform phase configurations.
Abstract
This paper presents a parametrization of a degenerate density matrix. The problem needs to be approached first with a diagonalized form (the spectral representation) to deal with degeneracy. Such a form is useful for this parametrization in that the conditions to be a density matrix from a Hermitian matrix are applied only to a diagonal eigenvalue matrix, not a unitary matrix. Those conditions can be satisfied by parametrizing eigenvalues with squared spherical coordinates in dimension of the matrix. Degeneracy in eigenvalues brings symmetries between a eigenvalue matrix and a unitary matrix, which are realized in a form of a commuting unitary matrix, called a commutant. The associated redundant parameters in a unitary matrix have to be eliminated. It is realized in this paper that degrees of degeneracies can be defined as the total number of possible pairs of the same eigenvalues and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsScientific Research and Discoveries · Matrix Theory and Algorithms · Geophysics and Sensor Technology
