Vector-Valued Polynomials and a Matrix Weight Function with B2B_2-Action

preprint2013arXivOpen access

Abstract

The structure of orthogonal polynomials on R2\mathbb{R}^{2} with the weight function ∣x12−x22∣2k0∣x1x2∣2k1e−(x12+x22)/2| x_{1}^{2}-x_{2}^{2}|^{2k_{0}}| x_{1}x_{2}|^{2k_{1}}e^{-(x_{1}^{2}+x_{2}^{2})/2} is based on the Dunkl operators of type B2B_{2}. This refers to the full symmetry group of the square, generated by reflections in the lines x1=0x_{1}=0 and x1−x2=0x_{1}-x_{2}=0. The weight function is integrable if k0,k1,k0+k1>−12k_{0},k_{1},k_{0}+k_{1}>-\frac{1}{2}. Dunkl operators can be defined for polynomials taking values in a module of the associated reflection group, that is, a vector space on which the group has an irreducible representation. The unique 2-dimensional representation of the group B2B_{2} is used here. The specific operators for this group and an analysis of the inner products on the harmonic vector-valued polynomials are presented in this paper. An orthogonal basis for the harmonic polynomials is constructed, and is used to define an exponential-type kernel. In contrast to the ordinary scalar case the inner product structure is positive only when (k0,k1)(k_{0},k_{1}) satisfy −12<k0±k1<12-\frac{1}{2}<k_{0}\pm k_{1}<\frac{1}{2}. For vector polynomials (fi)i=12(f_{i})_{i=1}^{2}, (gi)i=12(g_{i})_{i=1}^{2} the inner product has the form ∬R2f(x)K(x)g(x)Te−(x12+x22)/2dx1dx2\iint_{\mathbb{R}^{2}}f(x) K(x) g(x)^{T}e^{-(x_{1}^{2}+x_{2}^{2})/2}dx_{1}dx_{2} where the matrix function K(x)K(x) has to satisfy various transformation and boundary conditions. The matrix KK is expressed in terms of hypergeometric functions.

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