Electrostatic partners and zeros of orthogonal and multiple orthogonal polynomials
Andrei Mart\'inez-Finkelshtein, Ram\'on Orive, Joaqu\'in, S\'anchez-Lara

TL;DR
This paper develops a general framework linking orthogonal and multiple orthogonal polynomial zeros to electrostatic models via second-order differential equations, extending known results and exploring asymptotic behaviors.
Contribution
It introduces a universal construction of second-order ODEs for polynomial zeros and their electrostatic interpretation, generalizing previous results for various polynomial systems.
Findings
Derived electrostatic models for zeros of orthogonal and multiple orthogonal polynomials.
Extended known results to Angelesco, Nikishin, and generalized Nikishin systems.
Analyzed the asymptotic transition to vector equilibrium problems.
Abstract
For a given polynomial with simple zeros, and a given semiclassical weight , we present a construction that yields a linear second-order differential equation (ODE), and in consequence, an electrostatic model for zeros of . The coefficients of this ODE are written in terms of a dual polynomial that we call the electrostatic partner of . This construction is absolutely general and can be carried out for any polynomial with simple zeros and any semiclassical weight on the complex plane. An additional assumption of quasi-orthogonality of with respect to allows us to give more precise bounds on the degree of the electrostatic partner. In the case of orthogonal and quasi-orthogonal polynomials, we recover some of the known results and generalize others. Additionally, for the Hermite--Pad\'e or multiple orthogonal polynomials of type II, this approach yields a system of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical functions and polynomials · Numerical methods for differential equations · Matrix Theory and Algorithms
