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The Linear Rational Pseudospectral Method for Boundary Value Problems

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Abstract

We consider the version of the pseudospectral method for solving boundary value problems which replaces the differential operator with a matrix constructed from the elementary differentiation matrices whose elements are the derivatives of the Lagrange fundamental polynomials at the collocation points. The iterative solution of the resulting system of equations then requires the recurrent application of that differentiation matrix. Since global polynomial interpolation on the interval only gives useful approximants for points which accumulate in the vicinity of the extremities, the matrix is ill-conditioned. To reduce this drawback, we use Kosloff and Tal-Ezer's suggestion to shift the collocation points closer to equidistant by a conformal map. However, instead of applying their change of variable setting, we extend to stationary equations the linear rational collocation method introduced in former work on partial differential equations. Numerically about as efficient, this does not require any new coding if one starts from an efficient program for the polynomial differentiation matrices.

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REFERENCES

  • U. M. Ascher, R. M. Mattheij, and R. D. Russell, Numerical Solution of Boundary Value Problems for Ordinary Differential Equations, Prenctice-Hall, Englewood Cliffs, NJ, 1988.

    Google Scholar 

  • K. E. Atkinson, A Survey of Numerical Methods for the Solution of Fredholm Integral Equations of the Second Kind, SIAM, Philadelphia, PA, 1976.

    Google Scholar 

  • K. E. Atkinson, The Numerical Solution of Integral Equations of the Second Kind, Cambridge University Press, Cambridge, England, 1997.

    Google Scholar 

  • R. Baltensperger, J.-P. Berrut, and B. Noël, Exponential convergence of a linear rational interpolant between transformed Chebyshev points, Math. Comp., 68 (1999), pp. 1109–1120.

    Google Scholar 

  • R. Baltensperger and J.-P. Berrut, The errors in calculating the pseudospectral differentiation matrices for Čebyšev-Gauss-Lobatto points, Comput. Math. Applic., 37 (1999), pp. 41–48. Errata: ibidem, 38 (1999), p. 119.

    Google Scholar 

  • R. Baltensperger and J.-P. Berrut, The linear rational collocation method, J. Comput. Appl. Math., 134 (2001), pp. 243–258.

    Google Scholar 

  • R. Baltensperger and M. R. Trummer, Spectral differencing with a twist, submitted.

  • J.-P. Berrut, A pseudospectral Čebyšev method with preliminary transform to the circle: Ordinary differential equations, Report No. 252, Mathematisches Institut, Technische Universität München, 1990; revised Universit´e de Fribourg, 1995.

  • J.-P. Berrut and H. D. Mittelmann, The linear rational collocation method with iteratively optimized poles for two-point boundary value problems, SIAM J. Sci. Comp ut., to appear.

  • C. Canuto and A. Quarteroni, Preconditioned minimal residual methods for Chebyshev spectral calculations, J. Comput. Phys., 60 (1985), pp. 315–337.

    Google Scholar 

  • M. O. Deville and E. H. Mund, Finite element preconditioning for pseudospectral solutions of elliptic problems, SIAM J. Sci. Stat. Comput., 11 (1990), pp. 311–342.

    Google Scholar 

  • P. L. Duren, Theory of H p Spaces, Pure and Applied Mathematics, Vol. 38, Academic Press, San Diego, CA, 1970.

    Google Scholar 

  • B. Fornberg, A Practical Guide to Pseudospectral Methods, Cambridge University Press, Cambridge, England, 1996.

    Google Scholar 

  • L. Greengard, Spectral integration and two-point boundary value problems, SIAM J. Numer. Anal., 28 (1991), pp. 1071–1080.

    Google Scholar 

  • H. B. Keller, Numerical Methods for Two-Point Boundary Value Problems, Blaisdell, Waltham, MA, 1968.

    Google Scholar 

  • S. D. Kim and S. V. Parter, Preconditioning Chebyshev spectral collocation by finitedifference operators, SIAM J. Numer. Anal., 34 (1997), pp. 939–958.

    Google Scholar 

  • D. Kosloff and H. Tal-Ezer, A modified Chebyshev pseudospectral method with an O(N 1) time step restriction, J. Comput. Phys., 104 (1993), pp. 457–469.

    Google Scholar 

  • E. Kreyszig, Introductory Functional Analysis with Applications, John Wiley, New York, 1978.

    Google Scholar 

  • A. I. Markushevich, Theory of Functions of a Complex Variable, 2nd ed., Chelsea, New York, 1977.

    Google Scholar 

  • S. A. Orszag, Spectral methods for problems in complex geometries, J. Comp ut. Phys., 37 (1980), pp. 70–92.

    Google Scholar 

  • G. W. Reddien, Projection methods for two-point boundary value problems, SIAM J. Review, 22 (1980), pp. 156–171.

    Google Scholar 

  • H. R. Schwarz, Numerische Mathematik, 4th ed., Teubner, Stuttgart, 1997.

    Google Scholar 

  • T. Tang and M. R. Trummer, Boundary layer resolving pseudospectral methods for singular perturbation problems, SIAM J. Sci. Comput., 17 (1996), pp. 430–438.

    Google Scholar 

  • L. N. Trefethen and M. R. Trummer, An instability phenomenon in spectral methods, SIAM J. Numer. Anal., 24 (1987), pp. 1008–1023.

    Google Scholar 

  • L. N. Trefethen, Pseudospectra of matrices, in Numerical Analysis 1991, D. F. Griffiths and G. A. Watson, eds., Longman Harlow, Essex, UK, 1992, pp. 234–266.

    Google Scholar 

  • K. Wright, Asymptotic properties of collocation matrix norms I: Global polynomial approximation, IMA J. Numer. Anal., 4 (1984), pp. 185–202.

    Google Scholar 

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Berrut, JP., Baltensperger, R. The Linear Rational Pseudospectral Method for Boundary Value Problems. BIT Numerical Mathematics 41, 868–879 (2001). https://doi.org/10.1023/A:1021916623407

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