Skip to content
DraconiticResearch
Search Sources API
194,161 studies31 sourcesUpdated 44 min ago
PreprintCC BY-NC-SA 4.0arXiv

A method for generating multivariate multiple orthogonal polynomials

Abstract

In the framework of multiple orthogonal polynomials (MOPs) and their extension to the multivariate setting, a unified mechanism for generating structured families of multiple orthogonal polynomials across diverse multidimensional domains is still lacking. In this work, we bridge this gap by developing an extended Koornwinder-type methodology for constructing multivariate multiple orthogonal polynomials. We introduce two distinct coupling schemes: combining a univariate MOPs family with a standard orthogonal family, which enables the definition of both Type I and Type II bivariate systems along with their dual biorthogonality relations, and coupling two univariate MOPs families to form Type II multivariate systems. Using this general framework, we provide the first explicit formulations of multiple orthogonal polynomials on a variety of bivariate regions, including bounded domains such as a parabolic domain and the square [0,1]2, non-standard unbounded geometries like the positive quadrant (ℝ0+)2 and the wedge 𝕍2, as well as new constructions on the triangle T. Furthermore, explicit multiple orthogonal systems on the d-dimensional simplex Td and on the d-dimensional cone 𝕍d are given.

Related

  1. Positive Bidiagonal Factorizations and Mixed-Type Chebyshev Multiple Orthogonal Polynomials
    Manuel Mañas
    arXivPreprintCC BY 4.0Full textAnalysis & PDEsMathematical physicsarXiv
  2. Hypergeometric Mixed-Type Multiple Orthogonal Polynomials
    Manuel Mañas
    arXivPreprintCC BY 4.0Full textAnalysis & PDEsMathematical physicsarXiv
  3. Ratio and limiting zero distribution asymptotics for symmetric multiple orthogonal polynomials
    Ana Loureiro, Walter Van Assche
    arXivPreprintCC BY 4.0Full textAnalysis & PDEsarXiv
  4. Bessel Multiple Orthogonal Polynomials of Mixed Type
    Manuel Mañas
    arXivPreprintCC BY 4.0Full textAnalysis & PDEsMathematical physicsarXiv
  5. Symmetric Polynomials Method for the Multiple Loewner Chains
    Sergio Andraus, Nicole Hufnagel, Jacek Małecki +1
    arXivPreprintarXiv licenceFull textAnalysis & PDEsMathematical physicsarXiv
BibTeX
@misc{fernandez2026method,
  title = {{A method for generating multivariate multiple orthogonal polynomials}},
  author = {Lidia Fernández and Juan Antonio Villegas},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.09805},
  eprint = {2610.09805},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.09805},
  note = {CC BY-NC-SA 4.0},
}
RIS
TY  - UNPB
TI  - A method for generating multivariate multiple orthogonal polynomials
AU  - Lidia Fernández
AU  - Juan Antonio Villegas
PY  - 2026
DA  - 2026/10/07
PB  - arXiv
DO  - 10.48550/arxiv.2610.09805
UR  - https://arxiv.org/abs/2610.09805
AB  - In the framework of multiple orthogonal polynomials (MOPs) and their extension to the multivariate setting, a unified mechanism for generating structured families of multiple orthogonal polynomials across diverse multidimensional domains is still lacking. In this work, we bridge this gap by developing an extended Koornwinder-type methodology for constructing multivariate multiple orthogonal polynomials. We introduce two distinct coupling schemes: combining a univariate MOPs family with a standard orthogonal family, which enables the definition of both Type I and Type II bivariate systems along with their dual biorthogonality relations, and coupling two univariate MOPs families to form Type II multivariate systems. Using this general framework, we provide the first explicit formulations of multiple orthogonal polynomials on a variety of bivariate regions, including bounded domains such as a parabolic domain and the square [0,1]^2, non-standard unbounded geometries like the positive quadrant (ℝ_0^+)^2 and the wedge 𝕍^2, as well as new constructions on the triangle T. Furthermore, explicit multiple orthogonal systems on the d-dimensional simplex T^d and on the d-dimensional cone 𝕍^d are given.
ER  -