Modeling complex root motion of real random polynomials under differentiation

André Galligo (1, 2, 3)

1 UniCA - Université Côte d'Azur
2 AROMATH - AlgebRe, geOmetrie, Modelisation et AlgoriTHmes
3 LJAD - Laboratoire Jean Alexandre Dieudonné

In this paper, we consider nonlocal, nonlinear partial differential equations to model anisotropic dynamics of complex root sets of random polynomials under differentiation. These equations aim to generalise the recent PDE obtained by Stefan Steinerberger (2019) in the real case, and the PDE obtained by Sean O'Rourke and Stefan Steinerberger (2020) in the radial case, which amounts to work in 1D. These PDEs approximate dynamics of the complex roots for random polynomials of sufficiently high degree n. The unit of the time t corresponds to n differentiations, and the increment ∆t corresponds to 1 n. The general situation in 2D, in particular for complex roots of real polynomials, was not yet addressed. The purpose of this paper is to present a first attempt in that direction. We assume that the roots are distributed according to a regular distribution with a local homogeneity property (defined in the text), and that this property is maintained under differentiation. This allows us to derive a system of two coupled equations to model the motion. Our system could be interesting for other applications. The paper is illustrated with examples computed with the Maple system.

Mots clés: polynomials; equations of motion; non local PDE; Complex roots sets

Domaines: Analyse numérique [math.NA]

André Galligo. Modeling complex root motion of real random polynomials under differentiation. ISSAC 2022 - 47th International Symposium on Symbolic and Algebraic Computation, Jul 2022, Lille, France. ⟨10.48550/arXiv.2205.08747⟩. ⟨hal-03577445v2⟩