Second order difference equations and discrete orthogonal polynomials of two variables
Yuan Xu

TL;DR
This paper investigates second order partial difference equations in two variables to identify conditions under which they admit orthogonal polynomial solutions, linking to classical discrete orthogonal polynomials.
Contribution
It derives conditions for the existence of weight functions making the difference operator self-adjoint, leading to orthogonal polynomial solutions in two variables.
Findings
Conditions for orthogonal polynomial solutions are established.
Classical discrete orthogonal polynomials are characterized as solutions.
Self-adjointness of the difference operator is linked to weight functions.
Abstract
The second order partial difference equation of two variables \CD u:= A_{1,1}(x) \Delta_1 \nabla_1 u + A_{1,2}(x) \Delta_1 \nabla_2 u + A_{2,1}(x) \Delta_2 \nabla_1 u + A_{2,2}(x) \Delta_2 \nabla_2 u & \qquad \qquad \qquad \qquad + B_1(x) \Delta_1 u + B_2(x) \Delta_2 u = \lambda u, is studied to determine when it has orthogonal polynomials as solutions. We derive conditions on so that a weight function exists for which is self-adjoint and the difference equation has polynomial solutions which are orthogonal with respect to . The solutions are essentially the classical discrete orthogonal polynomials of two variables.
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
TopicsQuantum Mechanics and Non-Hermitian Physics · Quantum chaos and dynamical systems · Mathematical functions and polynomials
