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A mean value theorem for system of integrals and the Gauss-Hermite quadrature
Last modified: 2014-02-02
Abstract
A mean value theorem for system of integrals claims that, given any set of continuous functions on I⊆R, and a finite measure μ on I, there exists an n-point quadrature rule which is exact for those functions. If we consider μ as a Gaussian measure on the Borel sigma-field of R, we can use the Hermite polynomials to determine easily the nodes and coefficients of this quadrature rule. The case when measure μ is introduced by a Gaussian stochastic process has been investigated.
Keywords
Gaussian measure, Hermite polynomials, Gauss-Hermitequadrature, Gaussian stochastic process