
For K 0 , K 1 ≥ 0 , λ > − 1 / 2 , we examine C r ∗ λ , K 0 , K 1 x , generalized shifted Gegenbauer orthogonal polynomials, with reference to the weight W λ , K 0 , K 1 x = 2 λ Γ 2 λ / Γ λ + 1 / 2 2 x − x 2 λ − 1 / 2 I x ∈ 0,1 d x + K 0 δ 0 + K 1 δ 1 , where the indicator function is denoted by I x ∈ 0,1 and δ x indicates the Dirac δ − measure. Then, we construct a bivariate generalized shifted Gegenbauer orthogonal system ℭ n , r , d ∗ λ , K 0 , K 1 u , v , w over a triangular domain T , with reference to a bivariate measure W λ , γ , K 0 , K 1 u , v , w = Γ 2 λ + 1 / Γ λ + 1 / 2 2 u λ − 1 / 2 1 − v λ − 1 / 2 1 − w γ − 1 I u ∈ 0,1 − w I w ∈ 0,1 d u d w + K 0 δ 0 u + K 1 δ w − 1 u , which is given explicitly in the Bézier form as ℭ n , r , d ∗ λ , K 0 , K 1 u , v , w = ∑ i + j + k = n a i , j , k n , r , d B i , j , k n u , v , w . In addition, for d = 0 , … , k , r = 0,1 , … , n , and n ∈ 0 ∪ ℕ , we write the coefficients a i , j , k n , r , d in closed form and produce an equation that generates the coefficients recursively.
Applied Mathematics, Physics, Statistical and Nonlinear Physics, Matrix Valued Polynomials, Orthogonal Polynomials, Orthogonal polynomials and functions of hypergeometric type (Jacobi, Laguerre, Hermite, Askey scheme, etc.), Approximation by polynomials, Computational Theory and Mathematics, Physics and Astronomy, Physical Sciences, Computer Science, QA1-939, FOS: Mathematics, Mathematics, Matrix Algorithms and Iterative Methods, Rogue Waves in Nonlinear Systems
Applied Mathematics, Physics, Statistical and Nonlinear Physics, Matrix Valued Polynomials, Orthogonal Polynomials, Orthogonal polynomials and functions of hypergeometric type (Jacobi, Laguerre, Hermite, Askey scheme, etc.), Approximation by polynomials, Computational Theory and Mathematics, Physics and Astronomy, Physical Sciences, Computer Science, QA1-939, FOS: Mathematics, Mathematics, Matrix Algorithms and Iterative Methods, Rogue Waves in Nonlinear Systems
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