1994
DOI: 10.1007/bf00998681
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Classical orthogonal polynomials: A functional approach

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Cited by 114 publications
(72 citation statements)
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“…where φ and ψ are polynomials with deg(φ) Equation (5) is equivalent to the following two Equations [4,5] (which also characterize classical orthogonal polynomials), namely, the second-order differential Equation satisfied by each P n :…”
Section: Im(s(x + I Y) Dxmentioning
confidence: 99%
“…where φ and ψ are polynomials with deg(φ) Equation (5) is equivalent to the following two Equations [4,5] (which also characterize classical orthogonal polynomials), namely, the second-order differential Equation satisfied by each P n :…”
Section: Im(s(x + I Y) Dxmentioning
confidence: 99%
“…Lately we encounter the growth of interest to the study of orthogonal polynomials relative an arbitrary (but still symmetric and nondegenerate) form, cf. [4,7,8] and references therein. In these approaches, however, the bilinear forms are introduced "by hands" and the differential or difference equations the orthogonal polynomials satisfy are of high degree.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, in [15], Marcellán and Pinzón Cortés considered a matrix interpretation of ðM; NÞ coherence of order m. They established a relation between the Jacobi matrices associated with ðM; NÞ coherent pairs of linear functionals of order m and the Hessenberg matrix associated with the multiplication operator in terms of the basis of monic polynomials orthogonal with respect to the Sobolev inner product (11).…”
Section: A Matrix Characterization For the Coherence Of Orthogonal Pomentioning
confidence: 99%
“…In the classical case, i.e., s 0, we get that B is a ð0; 0Þ banded monic matrix, i.e., B is the identity matrix. Hence, fP n ðxÞg nP0 is classical if and only if BAA 1 AA 1 is a ð0; 2Þ banded monic matrix (result obtained in [20]) or, equivalently, fP n ðxÞg nP0 satisfies the following structure relation (proved in [11]) P n ðxÞ P ½1 n ðxÞ þ c n;n 1 P ½1 n 1 ðxÞ þ c n;n 2 P ½1 n 2 ðxÞ; n P 1:…”
Section: A Matrix Characterization For Semiclassical Polynomialsmentioning
confidence: 99%