A numerical scheme to solve boundary value problems involving singular perturbation

Authors

  • Şuayip Yüzbaşı Department of Mathematics, Faculty of Science, Akdeniz University, Antalya, TR, Turkey
  • Murat Karaçayır Department of Mathematics, Faculty of Science, Akdeniz University, Antalya, TR, Turkey

Keywords:

Boundary value problems, ordinary differential equations, Galerkin method, singular perturbation, numerical solutions

Abstract

In this study, a numerical method is presented in order to approximately solve singularly perturbed second-order differential equations givenwith boundary conditions. Themethod uses the set ofmonomialswhose degrees do not exceed a prescribed N as the set of base functions, resulting from the supposition that the approximate solution is a polynomial of degree N whose coefficients are to be determined. Then, following Galerkin’s approach, inner product with the base functions are applied to the residual of the approximate solution polynomial. This process, with a suitable incorporation of the boundary conditions, gives rise to an algebraic linear system of size N þ 1. The approximate polynomial solution is then obtained from the solution of this resulting system. Additionally, a technique, called residual correction,which exploits the linearity of the problem to estimate the error of any computed approximate solution is discussed briefly. The numerical scheme and the residual correction technique are illustrated with two examples.

Downloads

Download data is not yet available.

References

Body, J. P. (2000). Chebyshev and fourier spectral methods. New York: Dover Publications.

Chakravarthy, P. P., Phaneendra, K., & Reddy, Y. N. (2007). A seventh order numerical

method for singular perturbation problems. Applications Mathematical Comparative,

, 860–871.

Gülsu, M., Öztürk, Y., & Sezer, M. (2011). Approximate solution of the singular perturbation

problem on Chebyshev-Gauss grid. Journal Advancement Researcher Difference

Equations, 3, 1–13.

Habib, H. M., & El-Zahar, E. R. (2007). An algorithm for solving singular perturbation

problems with mechanization. Applications Mathematical Computation, 188, 286–302.

Kadalbajoo, M. M., & Patidar, K. C. (2006). Ɛ-Uniformly convergent fitted mesh finite

difference methods for general singular perturbation problems. Applications

Mathematical Comparative, 179, 248–266.

Kevorkian, J. K., & Cole, J. D. (1996). Multiple scale and singular perturbation methods.

Berlin: Springer.

Lagerstrom, P. A., & Casten, R. G. (1972). Basic concepts underlying singular perturbation

techniques. Siam Review, 14, 63–120.

Longtin, A., & Milton, J. G. (1988). Complex oscillations in the human pupil light reflex

with mixed and delayed feedback. Mathematical Bioscience, 90, 183–199.

Miller, J. J. H., O’Riordan, E., & Shishkin, G. I. (2012). Fitted numerical methods for

singular perturbation problems: Error estimates in the maximum norm for linear problems

in one and two dimensions, Revised ed. Hackensack, NJ: World Scientific.

Mohapatra, J., & Natesan, S. (2011). Uniformly convergent numerical method for singularly

perturbed differential-difference equation using grid equidistribution. International

Journal for Numerical Methods in Biomedical, 27, 1427–1445.

O’Malley, R. E., Jr. (1997). Thinking about differential equations, cambridge texts in applied

mathematics. Cambridge: Cambridge University Press.

Oliveira, F. (1980). Collocation and residual correction. Numerical Mathematical, 36, 27–31.

Pandit, S., & Kumar, M. (2014). Haar wavelet approach for numerical solution of two

parameters singularly purturbed boundary value problems. Applications Mathematical

Informatics Sciences, 8, 2965–2974.

Prandtl, L. (1904). On the motion of a fluid with very small viscosity. In Proceedings of 3rd

International Mathematics Congress (pp. 484–491).

EUROPEAN JOURNAL OF COMPUTATIONAL MECHANICS 121

Türkyılmazoğlu, M. (2014). An effective approach for numerical solutions of high-order

Fredholm integro-differential equations. Applications Mathematical Computation, 227,

–398.

Wilkinson, J. H. (1963). Rounding Errors in Algebraic Processes. Englewood Cliffs, NJ:

Prentice Hall.

Yüzbaşı, Ş. (2015). A collocation method based on the Bessel functions of the first kind for

singular perturbated differential equations and residual correction. Mathematical Meth

Applications Sciences, 38, 3033–3042.

Yüzbaşı, Ş. (2017). A laguerre approach for the solutions of singular perturbated differential

equations. International Journal Comparative Meth, 14, 1750034(12 pages.

Yüzbaşı, Ş., & Karaçayır, M. (2016a). A Galerkin-like approach to solve high-order integrodifferential

equations with weakly singular kernel. Kuwait Journal Sciences, 43, 106–120.

Yüzbaşı, Ş., & Karaçayır, M. (2016b). A Galerkin-like scheme to solve Riccati equations

encountered in quantum physics. Journal of Physics: Conference Series, 766, 6.

Yüzbaşı, Ş., & Karaçayır, M. (2017a). A Galerkin-like approach to solve continuous

population models for single and interacting species. Kuwait Journal Sciences, 44, 9–26.

Yüzbaşı, Ş., & Karaçayır, M. (2017b). A Galerkin-like scheme to solve two-dimensional

telegraph equation using collocation points in initial and boundary conditions.

Computation Mathematical Applications, 74, 3242–3249.

Zhang, Z. M. (2002). On the hpfinite element method for the one dimensional singularly

perturbed convection-diffusion problems. Journal Computation Mathematical, 20, 599–610

Downloads

Published

2018-04-01

How to Cite

Yüzbaşı, Şuayip, & Karaçayır, M. (2018). A numerical scheme to solve boundary value problems involving singular perturbation. European Journal of Computational Mechanics, 27(2), 109–122. Retrieved from https://journals.riverpublishers.com/index.php/EJCM/article/view/241

Issue

Section

Original Article