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Fundamental Theorem of Gaussian Quadrature


The fundamental theorem of Gaussian quadrature states that an N-point Gaussian quadrature rule integrates polynomials through polynomial degree 2N-1 exactly, and its abscissas are the roots of the orthogonal polynomial of polynomial degree N for the same measure. Assume a finite positive measure mu on the real line with infinite support and finite moments of all orders.

Let p_N be the monic polynomial of polynomial degree N orthogonal to all lower-degree polynomials, with roots x_1, ..., x_N. The Lagrange interpolating polynomials are

 L_i(x)=(p_N(x))/((x-x_i)p_N^'(x_i)),
(1)

with L_i(x_j)=delta_(ij), where delta_(ij) is the Kronecker delta. Define the weights by w_i=int_RL_i(x)dmu(x). Then

 int_Rf(x)dmu(x)=sum_(i=1)^Nw_if(x_i)
(2)

for every polynomial f of polynomial degree at most 2N-1.

To prove this, polynomial division gives

 f(x)=q(x)p_N(x)+r(x),
(3)

where q and r have polynomial degree at most N-1. The first term has zero integral by orthogonality and vanishes at every x_i. The Lagrange interpolating polynomial r is integrated exactly by the definition of the weights. Conversely, exactness through polynomial degree 2N-1 forces the monic polynomial with the quadrature nodes as its roots to be orthogonal to every polynomial of polynomial degree at most N-1, so it is p_N.

Exactness applied to L_i^2 gives

 w_i=int_R[L_i(x)]^2dmu(x)>0.
(4)

No rule using N real nodes can also integrate every polynomial of polynomial degree 2N exactly. The square of its nodal polynomial vanishes at every node but has positive integral. For Gaussian nodes, the Christoffel function also gives w_i=lambda_(N-1)(x_i).

For example, with dmu=dx on [-1,1], the two-point Legendre-Gauss quadrature rule has nodes +/-1/sqrt(3) and both weights equal to 1. It is exact through polynomial degree 3, but gives 2/9 for f(x)=x^4, whose integral is 2/5.


See also

Christoffel Function, Gaussian Quadrature, Lagrange Interpolating Polynomial, Orthogonal Polynomials

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References

National Institute of Standards and Technology. "Quadrature." §3.5 in NIST Digital Library of Mathematical Functions. https://dlmf.nist.gov/3.5.v.Simon, B. "The Christoffel-Darboux Kernel." In Perspectives in Partial Differential Equations, Harmonic Analysis and Applications (Ed. D. Mitrea and M. Mitrea). Providence, RI: Amer. Math. Soc., pp. 295-335, 2008. https://doi.org/10.1090/pspum/079/2500498. https://arxiv.org/abs/0806.1528.

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Fundamental Theorem of Gaussian Quadrature

Cite this as:

Weisstein, Eric W. "Fundamental Theorem of Gaussian Quadrature." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/FundamentalTheoremofGaussianQuadrature.html

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