weight functions
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11: 18.36 Miscellaneous Polynomials
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►These are OP’s on the interval with respect to an orthogonality measure obtained by adding constant multiples of “Dirac delta weights” at and to the weight function for the Jacobi polynomials.
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►Orthogonality of the the classical OP’s with respect to a positive weight function, as in Table 18.3.1 requires, via Favard’s theorem, for as per (18.2.9_5).
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►implying that, for , the orthogonality of the with respect to the Laguerre weight function
, .
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►Consider the weight function
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►and orthonormal with respect to the weight function
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12: 18.25 Wilson Class: Definitions
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§18.25(ii) Weights and Standardizations: Continuous Cases
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18.25.2
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18.25.4
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18.25.7
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18.25.15
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13: 3.11 Approximation Techniques
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§3.11(iii) Minimax Rational Approximations
►Let be continuous on a closed interval and be a continuous nonvanishing function on : is called a weight function. Then the minimax (or best uniform) rational approximation … ► being a given positive weight function, and again . Then (3.11.29) is replaced by …14: 31.9 Orthogonality
15: 31.10 Integral Equations and Representations
16: 31.15 Stieltjes Polynomials
17: 18.38 Mathematical Applications
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►If the nodes in a quadrature formula with a positive weight function are chosen to be the zeros of the th degree OP with the same weight function, and the interval of orthogonality is the same as the integration range, then the weights in the quadrature formula can be chosen in such a way that the formula is exact for all polynomials of degree not exceeding .
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►The basic ideas of Gaussian quadrature, and their extensions to non-classical weight functions, and the computation of the corresponding quadrature abscissas and weights, have led to discrete variable representations, or DVRs, of Sturm–Liouville and other differential operators.
…Each of these typically require a particular non-classical weight functions and analysis of the corresponding OP’s.
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Non-Classical Weight Functions
…18: 18.30 Associated OP’s
19: Bibliography R
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Erratum to:Relationships between the zeros, weights, and weight functions of orthogonal polynomials: Derivative rule approach to Stieltjes and spectral imaging.
Computing in Science and Engineering 23 (4), pp. 91.
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Relationships between the zeros, weights, and weight functions of orthogonal polynomials: Derivative rule approach to Stieltjes and spectral imaging.
Computing in Science and Engineering 23 (3), pp. 56–64.
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