Jacobi-Gauss Quadrature
Jacobi-Gauss quadrature, also called Jacobi quadrature or Mehler quadrature, is a Gaussian quadrature over the interval 👁 [-1,1]
with weighting function
The abscissas for quadrature order 👁 n
are given by the roots of the Jacobi
polynomials 👁 P_n^((alpha,beta))(x)
.
The weights are
| 👁 w_i | 👁 = | 👁 -(A_(n+1)gamma_n)/(A_nP_n^((alpha,beta))^'(x_i)P_(n+1)^((alpha,beta))(x_i)) |
(2)
|
| 👁 Image | 👁 = | 👁 (A_n)/(A_(n-1))(gamma_(n-1))/(P_(n-1)^((alpha,beta))(x_i)P_n^((alpha,beta))^'(x_i)), |
(3)
|
where 👁 A_n
is the coefficient of 👁 x^n
in 👁 P_n^((alpha,beta))(x)
. For Jacobi
polynomials,
where 👁 Gamma(z)
is a gamma function. Additionally,
so
where
The error term is
(Hildebrand 1956).
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References
Hildebrand, F. B. Introduction to Numerical Analysis. New York: McGraw-Hill, pp. 331-334, 1956.Referenced on Wolfram|Alpha
Jacobi-Gauss QuadratureCite this as:
Weisstein, Eric W. "Jacobi-Gauss Quadrature." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/Jacobi-GaussQuadrature.html
