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11: 18.1 Notation
q -Hahn Class OPs
Askey–Wilson Class OPs
Associated OPs
Other OPs
Classical OPs in Two Variables
12: 18.2 General Orthogonal Polynomials
This happens, for example, with the Hahn class OPs18.20(i)). … In terms of the monic OPs p n define the orthonormal OPs q n by … are OPs with orthogonality relation …
§18.2(xii) Other Special Constructions Involving General OPs
13: 18.19 Hahn Class: Definitions
The Askey scheme extends the three families of classical OPs (Jacobi, Laguerre and Hermite) with eight further families of OPs for which the role of the differentiation operator d d x in the case of the classical OPs is played by a suitable difference operator. These eight further families can be grouped in two classes of OPs:
  • 1.

    Hahn class (or linear lattice class). These are OPs p n ( x ) where the role of d d x is played by Δ x or x or δ x (see §18.1(i) for the definition of these operators). The Hahn class consists of four discrete and two continuous families.

  • 2.

    Wilson class (or quadratic lattice class). These are OPs p n ( x ) = p n ( λ ( y ) ) ( p n ( x ) of degree n in x , λ ( y ) quadratic in y ) where the role of the differentiation operator is played by Δ y Δ y ( λ ( y ) ) or y y ( λ ( y ) ) or δ y δ y ( λ ( y ) ) . The Wilson class consists of two discrete and two continuous families.

  • Table 18.19.2: Hahn, Krawtchouk, Meixner, and Charlier OPs: leading coefficients.
    p n ( x ) k n
    14: 18.36 Miscellaneous Polynomials
    Similar OPs can also be constructed for the Laguerre polynomials; see Koornwinder (1984b, (4.8)). … Sobolev OPs are orthogonal with respect to an inner product involving derivatives. … Classes of such polynomials have been found that generalize the classical OPs in the sense that they satisfy second order matrix differential equations with coefficients independent of the degree. … This inequality is violated for n = 1 if α < 1 , seemingly precluding such an extension of the Laguerre OPs into that regime. … Hermite EOP’s are defined in terms of classical Hermite OPs. …
    15: 18.39 Applications in the Physical Sciences
    These are overviewed in §18.38(iii), and §18.36(vi), and typically involve OPs or EOP’s. …
    a) Spherical Radial Coulomb Wave Functions Expressed in terms of Laguerre OPs
    d) Radial Coulomb Wave Functions Expressed in Terms of the Associated Coulomb–Laguerre OPs
    In all of these references these OPs are simply referred to as the associated Laguerre OPs. … These same solutions are expressed here in terms of Laguerre and Pollaczek OPs. …
    16: 18.40 Methods of Computation
    Usually, however, other methods are more efficient, especially the numerical solution of difference equations (§3.6) and the application of uniform asymptotic expansions (when available) for OPs of large degree. For applications in which the OPs appear only as terms in series expansions (compare §18.18(i)) the need to compute them can be avoided altogether by use instead of Clenshaw’s algorithm (§3.11(ii)) and its straightforward generalization to OPs other than Chebyshev. … The problem of moments is simply stated and the early work of Stieltjes, Markov, and Chebyshev on this problem was the origin of the understanding of the importance of both continued fractions and OPs in many areas of analysis. … Gautschi (2004, p. 119–120) has explored the ε 0 + limit via the Wynn ε -algorithm, (3.9.11) to accelerate convergence, finding four to eight digits of precision in w ( x ) , depending smoothly on x , for N 4000 , for an example involving first numerator Legendre OPs. … Equation (18.40.7) provides step-histogram approximations to a x d μ ( x ) , as shown in Figure 18.40.1 for N = 12 and 120 , shown here for the repulsive Coulomb–Pollaczek OPs of Figure 18.39.2, with the parameters as listed therein. …
    17: 18.37 Classical OP’s in Two or More Variables
    §18.37 Classical OPs in Two or More Variables
    18.37.6 R m , n ( α ) ( z ) = j = 0 min ( m , n ) ( 1 ) j ( α + 1 ) m + n j ( m ) j ( n ) j ( α + 1 ) m ( α + 1 ) n j ! z m j z ¯ n j .
    §18.37(ii) OPs on the Triangle
    §18.37(iii) OPs Associated with Root Systems
    18: 18.3 Definitions
    The classical OPs comprise the Jacobi, Laguerre and Hermite polynomials. There are many ways of characterizing the classical OPs within the general OPs { p n ( x ) } , see Al-Salam (1990). …
  • 1.

    As eigenfunctions of second order differential operators (Bochner’s theorem, Bochner (1929)). See the differential equations A ( x ) p n ′′ ( x ) + B ( x ) p n ( x ) + λ n p n ( x ) = 0 , in Table 18.8.1.

  • 2.

    With the property that { p n + 1 ( x ) } n = 0 is again a system of OPs. See §18.9(iii).

  • Bessel polynomials are often included among the classical OPs. …
    19: 18.25 Wilson Class: Definitions
    For the Wilson class OPs p n ( x ) with x = λ ( y ) : if the y -orthogonality set is { 0 , 1 , , N } , then the role of the differentiation operator d / d x in the Jacobi, Laguerre, and Hermite cases is played by the operator Δ y followed by division by Δ y ( λ ( y ) ) , or by the operator y followed by division by y ( λ ( y ) ) . … Table 18.25.1 lists the transformations of variable, orthogonality ranges, and parameter constraints that are needed in §18.2(i) for the Wilson polynomials W n ( x ; a , b , c , d ) , continuous dual Hahn polynomials S n ( x ; a , b , c ) , Racah polynomials R n ( x ; α , β , γ , δ ) , and dual Hahn polynomials R n ( x ; γ , δ , N ) .
    Table 18.25.1: Wilson class OPs: transformations of variable, orthogonality ranges, and parameter constraints.
    OP p n ( x ) x = λ ( y ) Orthogonality range for y Constraints
    Under certain conditions on their parameters the orthogonality range for the Wilson polynomials and continuous dual Hahn polynomials is ( 0 , ) S , where S is a specific finite set, e. …
    Table 18.25.2: Wilson class OPs: leading coefficients.
    p n ( x ) k n
    20: 18.8 Differential Equations
    Table 18.8.1: Classical OPs: differential equations A ( x ) f ′′ ( x ) + B ( x ) f ( x ) + C ( x ) f ( x ) + λ n f ( x ) = 0 .
    # f ( x ) A ( x ) B ( x ) C ( x ) λ n