Operational matrices with respect to Hermite polynomials and their applications in solving linear differential equations with variable coefficients
الموضوعات :Z. Kalateh Bojdi 1 , S. Ahmadi-Asl 2 , A. Aminataei 3
1 - Department of Mathematics, Birjand University, Birjand, Iran
2 - Department of Mathematics, Birjand University, Birjand, Iran
3 - Faculty of Mathematics, K. N. Toosi University of Technology, P.O. Box 16315-1618, Tehran, Iran
الکلمات المفتاحية: Operational matrices, Hermite polynomials, Linear differential equations with variable coefficients,
ملخص المقالة :
In this paper, a new and efficient approach is applied for numerical approximationof the linear differential equations with variable coeffcients based on operational matriceswith respect to Hermite polynomials. Explicit formulae which express the Hermite expansioncoeffcients for the moments of derivatives of any differentiable function in terms of theoriginal expansion coefficients of the function itself are given in the matrix form. The mainimportance of this scheme is that using this approach reduces solving the linear differentialequations to solve a system of linear algebraic equations, thus greatly simplifying the problem.In addition, two experiments are given to demonstrate the validity and applicability of the method.
[1] R.P. Agraval, and D.O. Oregan, Ordinary and Partial Dierential Equations, Springer, 2009.
[2] A. Aminataei, and S.S. Hussaini, The comparison of the stability of decomposition method with numerical methods of equation solution, Appl. Math. Comput. 186 (2007), pp. 665{669.
[3] A. Aminataei, and S.S. Hussaini, The barrier of decomposition method, Int. J. Contemp. Math. Sci. 5 (2010), pp. 2487{2494.
[4] R. Askey, Orthogonal Polynomials and Special Functions, SIAM-CBMS, Philadelphia, 1975.
[5] T. Akkaya, and S. Yalcinbas, Boubaker polynomial approach for solving high-order linear differential-difference equations, AIP Conference Proceedings of 9th international conference on mathematical problems in engineering, 56 (2012), PP. 26-33.
[6] G. Ben-yu, The State of Art in Spectral Methods. Hong Kong University, 1996.
[7] J.P. Boyd, Chebyshev and Fourier Spectral Methods, Dover Publications, Inc, New York, 2000.
[8] C. Canuto, M.Y. Hussaini, A. Quarteroni, and T.A. Zang, Spectral Method in Fluid Dynamics, Prentice Hall, Engelwood Clis, NJ, 1984.
[9] C. Canuto, M.Y. Hussaini, A. Quarteroni, and T.A. Zang, Spectral Methods: Fundamentals in Single Domains, Springer-Verlag, 2006.
[10] H. Danfu, and S. Xufeng, Numerical solution of integro-dierential equations by using CAS wavelet operational matrix of integration, Appl. Math. Comput. 194 (2007), pp. 460-466.
[11] C.F. Dunkl, and Y. Xu, Orthogonal Polynomials of Several Variables, Cambridge University Press, 2001.
[12] K. Erdem, and S. Yalcinbas, Bernoulli polynomial approach to high-order linear differential-difference equations, AIP Conference Proceedings of Numerical Analysis and Applied Mathematics, 73 (2012), 360-364.
[13] M.R. Eslahchi, and M. Dehghan, Application of Taylor series in obtaining the orthogonal operational matrix, Computers and Mathematics with Applications, 61 (2011), PP. 2596-2604.
[14] D. Funaro, Polynomial Approximations of Dierential Equations, Springer-Verlag, 1992.
[15] W. Gautschi, Orthogonal Polynomials (Computation and Approximation), Oxford University Press, 2004.
[16] D. Gottlieb, and S.A. Orszag,Numerical Analysis of Spectral Methods: Theory and Applications, SIAM-CBMS, Philadelphia, 1977.
[17] M. Gulsu, and M. Sezer, A method for the approximate solution of the high-order linear difference equations in terms of Taylor polynomials, Int. J. Comput. Math. 82 (2005), pp. 629-642.
[18] M. Gulsu, M. Sezer, and Z. Guney, Approximate solution of general high-order linear non-homogenous difference equations by means of Taylor collocation method, Appl. Math. Comput. 173 (2006), pp. 683-693.
[19] M. Gulsu, and M. Sezer, A Taylor polynomial approach for solving differential-difference equations, Comput. Appl. Math. 186 (2006), pp. 349-364.
[20] J.S. Hesthaven, S. Gottlieb, and D. Gottlieb, Spectral Methods for Time-Dependent Problems, Cambridge University, 2009.
[21] C.H. Hsiao, Hybrid function method for solving Fredholm and Volterra integral equations of the second kind, Comput. Appl. Math. 230 (2009), pp. 59-68.
[22] A. Imani, A. Aminataei, and A. Imani, Collocation method via Jacobi polynomials for solving nonlinear ordinary differential equations, Int. J. Math. Math. Sci., Article ID 673085, 11P, 2011.
[23] F. Khellat, S. A. Youse, The linear Legendre wavelets operational matrix of integration and its application, J. Frank. Inst. 343 (2006), PP. 181-190.
[24] A.C. King, J. Bilingham, and S.R. Otto, Differential Equations (Linear, Nonlinear, Integral, Partial), Cambridge University, 2003.
[25] E.L. Ortiz, and L. Samara, An operational approach to the Tau method for the numerical solution of nonlinear differential equations, Computing, 27 (1981), pp. 15-25.
[26] E.L. Ortiz, On the numerical solution of nonlinear and functional differential equations with the Tau method, in: Numerical Treatment of Differential Equations in Applications, in: Lecture Notes in Math. 679 (1978), pp. 127-139.
[27] F. Marcellan, and W.V. Assche, Orthogonal Polynomials and Special Functions (a Computation and Applications), Springer-Verlag Berlin Heidelberg, 2006.
[28] K. Maleknejad, and F. Mirzaee, Numerical solution of integro-differential equations by using rationalized Haar functions method, Kyber. Int. J. Syst. Math. 35 (2006), pp. 1735-1744.
[29] M. Razzaghi, and Y. Ordokhani, Solution of nonlinear Volterra Hammerstein integral equations via rationalized Haar functions, Math. Prob. Eng. 7 (2001), PP. 205-219.
[30] M. Razzaghi, and S.A. Youse, Legendre wavelets method for the nonlinear Volterra-Fredholm integral equations, Math. Comput. Simul. 70 (2005), pp. 1-8.
[31] M.H. Reihani, and Z. Abadi, Rationalized Haar functions method for solving Fredholm and Volterra integral equations, Comput. Appl. Math. 200 (2007), pp. 12-20.
[32] M. Sezer, and A.A. Dascioglu, Taylor polynomial solutions of general linear dierential-dierence equations with variable coefficients, Appl. Math. Comput. 174 (2006), pp. 1526-1538.
[33] M. Sezer, and M. Gulsu, Polynomial solution of the most general linear Fredholm integro-differential-difference equation by means of Taylor matrix method, Int. J. Complex Variables. 50 (2005), pp. 367-382.
[34] J. Shen, T. Tang, and L.L. Wang, Spectral Methods Algorithms, Analysis and Applications, Springer, 2011.
[35] L.N. Trefethen, Spectral Methods in Matlab, SIAM, Philadelphia, PA, 2000.
[36] A.M. Wazwaz, The combined Laplace transform-Adomian decomposition method for handling nonlinear Volterra integro-differential equations, Appl. Math. Comput. 216 (2010), pp. 1304-1309.