AbstractIn this paper a systematic study of the orthogonal polynomial solutions of a second order partial difference equation of hypergeometric type of two variables is done. The Pearson's systems for the orthogonality weight of the solutions and also for the difference derivatives of the solutions are presented. The orthogonality property in subspaces is treated in detail, which leads to an analog of the Rodrigues-type formula for orthogonal polynomials of two discrete variables. A classification of the admissible equations as well as some examples related with bivariate Hahn, Kravchuk, Meixner, and Charlier families, and their algebraic and difference properties are explicitly given
AbstractIn this paper we will consider two algorithms which allow us to obtain second order linear d...
AbstractHere is a method of solving the difference-differential equations of the confluent hypergeom...
AbstractThe goal of this work is to characterize all second order difference operators of several va...
AbstractIn this paper, extensions of several relations linking differences of bivariate discrete ort...
AbstractClassical orthogonal polynomials in two variables can be characterized as the polynomial sol...
AbstractIn this paper we construct the main algebraic and differential properties and the weight fun...
Starting from the second-order difference hypergeometric equation satisfied by the set of discrete o...
In this paper, we provide a formal proof of the existence of a polynomial solution of fixed degree f...
AbstractIn this paper, extensions of several relations linking differences of bivariate discrete ort...
AbstractIn this paper we classify the bivariate second-order linear partial difference equations, wh...
AbstractThe goal of this work is to characterize all second order difference operators of several va...
A new set of multiple orthogonal polynomials of both type I and type II with respect to two weight f...
AbstractOrthogonal polynomials in two variables constitute a very old subject in approximation theor...
Abstract: The orthogonality properties for polynomial solutions of hypergeometric type dif...
AbstractFor the sequences of discrete classical orthogonal polynomials (Charlier, Meixner, Hahn) we ...
AbstractIn this paper we will consider two algorithms which allow us to obtain second order linear d...
AbstractHere is a method of solving the difference-differential equations of the confluent hypergeom...
AbstractThe goal of this work is to characterize all second order difference operators of several va...
AbstractIn this paper, extensions of several relations linking differences of bivariate discrete ort...
AbstractClassical orthogonal polynomials in two variables can be characterized as the polynomial sol...
AbstractIn this paper we construct the main algebraic and differential properties and the weight fun...
Starting from the second-order difference hypergeometric equation satisfied by the set of discrete o...
In this paper, we provide a formal proof of the existence of a polynomial solution of fixed degree f...
AbstractIn this paper, extensions of several relations linking differences of bivariate discrete ort...
AbstractIn this paper we classify the bivariate second-order linear partial difference equations, wh...
AbstractThe goal of this work is to characterize all second order difference operators of several va...
A new set of multiple orthogonal polynomials of both type I and type II with respect to two weight f...
AbstractOrthogonal polynomials in two variables constitute a very old subject in approximation theor...
Abstract: The orthogonality properties for polynomial solutions of hypergeometric type dif...
AbstractFor the sequences of discrete classical orthogonal polynomials (Charlier, Meixner, Hahn) we ...
AbstractIn this paper we will consider two algorithms which allow us to obtain second order linear d...
AbstractHere is a method of solving the difference-differential equations of the confluent hypergeom...
AbstractThe goal of this work is to characterize all second order difference operators of several va...