DOI: https://doi.org/10.26089/NumMet.v16r223

On an approximate analytical method of solving ordinary differential equations

Authors

  • O.B. Arushanyan
  • N.I. Volchenskova
  • S.F. Zaletkin

Keywords:

ordinary differential equations
approximate analytical methods
numerical methods
orthogonal expansions
shifted Chebyshev series
Markov’s quadrature formulas

Abstract

The application of shifted Chebyshev series for solving ordinary differential equations is described. This approach is based on the approximation of the solution to the Cauchy problem for a normal system of ordinary differential equations and its derivatives by partial sums of Fourier series in the Chebyshev polynomials of the first kind. The coefficients of the series are determined by an iterative process with the use of Markov’s quadrature formulas. The approximation properties of shifted Chebyshev series allow us to propose an approximate analytical method for ordinary differential equations. A number of examples are considered to illustrate the application of partial sums of Chebyshev series for approximate representations of the solutions to the Cauchy problems for ordinary differential equations.


Published

2015-05-06

Issue

Section

Section 1. Numerical methods and applications

Author Biographies

O.B. Arushanyan

N.I. Volchenskova

S.F. Zaletkin


References

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