A Lie theoretic interpretation of multivariate hypergeometric polynomials
arXiv:1101.1683 · doi:10.1112/S0010437X11007421
Abstract
In 1971 Griffiths used a generating function to define polynomials in d variables orthogonal with respect to the multinomial distribution. The polynomials possess a duality between the discrete variables and the degree indices. In 2004 Mizukawa and Tanaka related these polynomials to character algebras and the Gelfand hypergeometric series. Using this approach they clarified the duality and obtained a new proof of the orthogonality. In the present paper, we interpret these polynomials within the context of the Lie algebra sl_{d+1}. Our approach yields yet another proof of the orthogonality. It also shows that the polynomials satisfy d independent recurrence relations each involving d^2+d+1 terms. This combined with the duality establishes their bispectrality. We illustrate our results with several explicit examples.
minor changes
References in corpus (3)
Cited by in corpus (19)
- Orthogonal polynomials of several variables
- The multivariate Krawtchouk polynomials as matrix elements of the rotation group representations on oscillator states
- A System of Multivariable Krawtchouk Polynomials and a Probabilistic Application
- Entanglement of inhomogeneous free fermions on hyperplane lattices
- The generic quantum superintegrable system on the sphere and Racah operators
- Connection coefficients for classical orthogonal polynomials of several variables
- Racah problems for the oscillator algebra, the Lie algebra , and multivariate Krawtchouk polynomials
- Hahn polynomials on polyhedra and quantum integrability
- Meixner polynomials in several variables satisfying bispectral difference equations
- Bivariate -polynomial association schemes
- The -Bannai-Ito algebra and multivariate -Racah and Bannai-Ito polynomials
- corepresentations and bivariate -Krawtchouk polynomials
- Orthogonal Polynomial Stochastic Duality Functions for Multi-Species SEP and Multi-Species IRW
- Gaudin model for the multinomial distribution
- An Assmus-Mattson theorem for codes over commutative association schemes
- Lancaster distributions and Markov chains with Multivariate Poisson-Charlier, Meixner and Hermite-Chebycheff polynomial eigenfunctions
- Spectral analysis of an open -difference Toda chain with two-sided boundary interactions on the finite integer lattice
- Matrix elements of in representations as bispectral multivariate functions
- Rahman polynomials