Continuity of the solution map for hyperbolic polynomials
Adam Parusiński, Armin Rainer
TL;DR
The paper studies the continuity of the coefficient-to-root map for monic hyperbolic polynomials, proving that when coefficients depend in C^d, the increasingly ordered roots vary continuously in the Sobolev spaces C^{0,1}_q for all 1 ≤ q < ∞ (but not for q = ∞). Central to the argument is a main technical result (Theorem mainhyp) established via a single-point Bronshtein-type estimate and a simultaneous polynomial splitting, which yields convergence of root derivatives in L^q and strong C^0 convergence on compact intervals. The authors develop a robust framework: a Tschirnhausen normalization, splitting, universal splitting data, and admissible data, enabling an induction on degree and a multiparameter extension. Consequences include continuity and area-continuity properties for root graphs, lower semicontinuity of zero-set areas, and practical perturbation results for eigenvalues of Hermitian matrices and singular values. The findings have significance for stability analysis in spectral theory and provide refined tools for hyperbolic polynomial perturbations with potential broad applicability in numerical analysis and PDE perturbation theory.
Abstract
Hyperbolic polynomials are monic real-rooted polynomials. By Bronshtein's theorem, the increasingly ordered roots of a hyperbolic polynomial of degree $d$ with $C^{d-1,1}$ coefficients are locally Lipschitz and the solution map "coefficients-to-roots" is bounded. We prove continuity of this solution map from hyperbolic polynomials of degree $d$ with $C^d$ coefficients to their increasingly ordered roots with respect to the $C^d$ structure on the source space and the Sobolev $W^{1,q}$ structure, for all $1 \le q<\infty$, on the target space. Continuity fails for $q=\infty$. As a consequence, we obtain continuity of the local surface area of the roots as well as local lower semicontinuity of the area of the zero sets of hyperbolic polynomials. We also discuss applications for the eigenvalues of Hermitian matrices and singular values.
