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Numerical Studies for Fractional Functional Differential Equations with Delay Based on BDF‐Type Shifted Chebyshev Approximations

Author

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  • V. G. Pimenov
  • A. S. Hendy

Abstract

Fractional functional differential equations with delay (FDDEs) have recently played a significant role in modeling of many real areas of sciences such as physics, engineering, biology, medicine, and economics. FDDEs often cannot be solved analytically so the approximate and numerical methods should be adapted to solve these types of equations. In this paper we consider a new method of backward differentiation formula‐ (BDF‐) type for solving FDDEs. This approach is based on the interval approximation of the true solution using the Clenshaw and Curtis formula that is based on the truncated shifted Chebyshev polynomials. It is shown that the new approach can be reformulated in an equivalent way as a Runge‐Kutta method and the Butcher tableau of this method is given. Estimation of local and global truncating errors is deduced and this leads to the proof of the convergence for the proposed method. Illustrative examples of FDDEs are included to demonstrate the validity and applicability of the proposed approach.

Suggested Citation

  • V. G. Pimenov & A. S. Hendy, 2015. "Numerical Studies for Fractional Functional Differential Equations with Delay Based on BDF‐Type Shifted Chebyshev Approximations," Abstract and Applied Analysis, John Wiley & Sons, vol. 2015(1).
  • Handle: RePEc:wly:jnlaaa:v:2015:y:2015:i:1:n:510875
    DOI: 10.1155/2015/510875
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    References listed on IDEAS

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    1. Zhen Wang, 2013. "A Numerical Method for Delayed Fractional-Order Differential Equations," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-7, May.
    2. Zhen Wang, 2013. "A Numerical Method for Delayed Fractional‐Order Differential Equations," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    3. Bellen, Alfredo & Zennaro, Marino, 2003. "Numerical Methods for Delay Differential Equations," OUP Catalogue, Oxford University Press, number 9780198506546.
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