A note on extremal decomposition of covariances
Zoltan Leka

TL;DR
This paper introduces an elementary method for extremal decomposition of quantum covariance matrices, offering a new proof of existing results and sharp estimates on the ranks of densities involved.
Contribution
It provides a simplified proof and improved rank estimates for extremal decompositions of quantum covariance matrices.
Findings
New elementary proof of extremal decomposition results
Sharp rank estimates for densities in the decomposition
Enhanced understanding of quantum covariance matrix structure
Abstract
We shall present an elementary approach to extremal decompositions of (quantum) covariance matrices determined by densities. We give a new proof on former results and provide a sharp estimate of the ranks of the densities that appear in the decomposition theorem.
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Taxonomy
TopicsMatrix Theory and Algorithms · Quantum chaos and dynamical systems · Mathematical functions and polynomials
