An algebraic characterization of non-singular matrix semicircles
Vladislav Kargin

TL;DR
This paper characterizes when a matrix semicircle is non-singular at zero through algebraic and analytic conditions, linking matrix pencil decomposability, covariance map properties, and spectral density.
Contribution
It establishes new equivalences connecting algebraic decomposability, covariance map scalability, and spectral properties of matrix semicircles, using advanced algebraic and analytic techniques.
Findings
Equivalence between matrix pencil decomposability and covariance map scalability.
Spectral density at zero is explicitly related to the trace of a minimal solution.
Removal of a stability hypothesis from previous bifurcation analyses.
Abstract
Let be Hermitian matrices and the associated matrix semicircle, where are free semicircular variables. We prove that the following are equivalent: (i) the matrix pencil is LR-semisimple (decomposes, up to left--right equivalence, as a direct sum of unsplittable pencils); (ii) is non-singular at (the matrix-valued Cauchy transform has a continuous boundary limit near the origin); (iii) the covariance map is symmetrically DS-scalable (there exists with ). When these hold, the spectral density satisfies , where is the unique trace minimizer of the solution set . The proof combines algebraic and analytic ingredients. On the algebraic side, we…
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