Abstract
For integrals∫ 1−1 w(x)f(x)dx with\(w(x) = (1 - x)^{ \pm \tfrac{1}{2}} (1 + x)^{ \pm \tfrac{1}{2}} \) and with analytic integrands, we consider the determination of “optimal” abscissasx o i and weightsA o i , for a fixedn, which minimize the errorE n (f)=∫ 1−1 w(x)f(x)dx − Σ =1n i A i f(x i ) over an appropriate Hilbert spaceH 2(E ρ ; ∣w(z)∣) of analytic functions. Simultaneously, we consider the simpler problem of determining “intermediate-optimal” weightsA i *, corresponding to (preassigned) Gaussian abscissasx G i , which minimize the quadrature error. For eachw(x), the intermediate-optimal weightsA i * are obtained explicitly, and these come out proportional to the corresponding Gaussian weightsA G i . In each case,A G i =A i *+O(ϱ −4n),ϱ → ∞. For\(w(x) = (1 - x^2 )^{ \pm \tfrac{1}{2}} \), a complete explicit solution for optimal abscissas and weights is given; in fact, the set {x G i ,A i *;i=1,...,n} to provides the optimal abscissas and weights. For otherw(x), we study the closeness of the set {x G i ,A i *;i=1,...,n} to the optimal solution {x o i ,A o i ;i=1,...,n} in terms ofε n (ϱ), the maximum absolute remainder in the second set ofn normal equations. In each case,ε n (ϱ) is, at least, of the order ofϱ −4n for largeϱ.
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Chawla, M.M., Raina, B.L. Optimal quadratures for analytic functions. BIT 12, 489–502 (1972). https://doi.org/10.1007/BF01932958
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DOI: https://doi.org/10.1007/BF01932958