Bivariate multiple orthogonal polynomials of mixed type on the step-line
Abstract
This article studies bivariate multiple orthogonal polynomials of the mixed type on the step-line. The analysis is based on the LU factorization of a moment matrix specifically adapted to this framework. The orthogonality and biorthogonality relations satisfied by these polynomials are identified, and their precise multi-degrees are determined. The corresponding recurrence relations and the growing band matrices that encode them are also derived. Christoffel-Darboux kernels and the associated Christoffel-Darboux-type formulas are obtained. An ABC-type theorem is established, relating the inverse of the truncated moment matrix to these kernels. As an illustration, the bivariate Jacobi-Pi\~neiro multiple orthogonal polynomials of mixed type on the triangle are computed by means of an LU factorization implemented in a dedicated Maple script.
Cite
@article{arxiv.2507.17694,
title = {Bivariate multiple orthogonal polynomials of mixed type on the step-line},
author = {Manuel Mañas and Miguel Rojas and Jianwen Wu},
journal= {arXiv preprint arXiv:2507.17694},
year = {2025}
}
Comments
28 pages