Primitive Spectral Coordinates for Positive Definite Density Matrices

We specialize Zimmerman's primitive-sequence formalism for probability measures on compact intervals to the empirical spectral distributions of finite-dimensional density matrices. Exploiting finite support and the unit-trace constraint, we prove that the first N-1 primitive coordinates uniquely determine the spectrum of an N×N positive definite density matrix, and therefore all polynomial spectral invariants. Restricted to the regular stratum of simple spectrum, these quantities define a smooth local coordinate system on the regular spectral quotient. The resulting framework provides an alternative smooth coordinate realization of mixed-state spectral geometry through repeated antidifferentiation of cumulative spectral distributions, establishing a bridge between Lie--Poisson geometry and iterative integration.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-22
DOI
https://doi.org/10.5281/zenodo.20348374
Primary Topic
Random Matrices and Applications
Type
preprint
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preprint

Primitive Spectral Coordinates for Positive Definite Density Matrices

Anuar Yazid Salazar Sanjuan
Zenodo (CERN European Organization for Nuclear Research)
Random Matrices and Applications
preprint

Primitive Spectral Coordinates for Positive Definite Density Matrices

Anuar Yazid Salazar Sanjuan
preprint en

Abstract

We specialize Zimmerman's primitive-sequence formalism for probability measures on compact intervals to the empirical spectral distributions of finite-dimensional density matrices. Exploiting finite support and the unit-trace constraint, we prove that the first N-1 primitive coordinates uniquely determine the spectrum of an N×N positive definite density matrix, and therefore all polynomial spectral invariants. Restricted to the regular stratum of simple spectrum, these quantities define a smooth local coordinate system on the regular spectral quotient. The resulting framework provides an alternative smooth coordinate realization of mixed-state spectral geometry through repeated antidifferentiation of cumulative spectral distributions, establishing a bridge between Lie--Poisson geometry and iterative integration.

Zenodo (CERN European Organization for Nuclear Research)
Universidad Autónoma del Estado de Hidalgo (MX)
Random Matrices and Applications
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