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Error Reduction in Gauss-Jacobi-Nyström Quadraturefor Fredholm Integral Equations of the Second Kind

M. A. Kelmanson1 and M. C. Tenwick1

1 Department of Applied Mathematics, University of Leeds, Leeds LS2 9JT, UK.

Computer Modeling in Engineering & Sciences 2010, 55(2), 191-210. https://doi.org/10.3970/cmes.2010.055.191

Abstract

A method is presented for improving the accuracy of the widely used Gauss-Legendre Nyström method for determining approximate solutions of Fredholm integral equations of the second kind on finite intervals. The authors' recent continuous-kernel approach is generalised in order to accommodate kernels that are either singular or of limited continuous differentiability at a finite number of points within the interval of integration. This is achieved by developing a Gauss-Jacobi Nyström method that moreover includes a mean-value estimate of the truncation error of the Hermite interpolation on which the quadrature rule is based, making it particularly accurate at low orders. A theoretical framework of the new technique is developed, implemented and validated on test problems with known exact solutions, and degenerate cases of the new Gauss-Jacobi scheme are corroborated against standard Gauss-Legendre and first- and second-kind Gauss-Chebyshev methods (i.e. using tabulated weights and abscissae). Significant error reductions over standard methods are observed, and all results are explained in the context of the new theory.

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APA Style
Tenwick, M.A.K.A.M.C. (2010). Error reduction in gauss-jacobi-nyström quadraturefor fredholm integral equations of the second kind. Computer Modeling in Engineering & Sciences, 55(2), 191-210. https://doi.org/10.3970/cmes.2010.055.191
Vancouver Style
Tenwick MAKAMC. Error reduction in gauss-jacobi-nyström quadraturefor fredholm integral equations of the second kind. Comput Model Eng Sci. 2010;55(2):191-210 https://doi.org/10.3970/cmes.2010.055.191
IEEE Style
M.A.K.A.M.C. Tenwick, “Error Reduction in Gauss-Jacobi-Nyström Quadraturefor Fredholm Integral Equations of the Second Kind,” Comput. Model. Eng. Sci., vol. 55, no. 2, pp. 191-210, 2010. https://doi.org/10.3970/cmes.2010.055.191



cc Copyright © 2010 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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