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A search for a spectral technique to solve nonlinear fractional differential equations

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  • Turalska, Malgorzata
  • West, Bruce J.

Abstract

A spectral decomposition method is used to obtain solutions to a class of nonlinear differential equations. We extend this approach to the analysis of the fractional form of these equations and demonstrate the method by applying it to the fractional Riccati equation, the fractional logistic equation and a fractional cubic equation. The solutions reduce to those of the ordinary nonlinear differential equations, when the order of the fractional derivative is α=1. The exact analytic solutions to the fractional nonlinear differential equations had not been previously known, so we evaluate how well the derived solutions satisfy the corresponding fractional dynamic equations. In the three cases we find a small, apparently generic, systematic error that we are not able to fully interpret.

Suggested Citation

  • Turalska, Malgorzata & West, Bruce J., 2017. "A search for a spectral technique to solve nonlinear fractional differential equations," Chaos, Solitons & Fractals, Elsevier, vol. 102(C), pages 387-395.
    • Handle: RePEc:eee:chsofr:v:102:y:2017:i:c:p:387-395
    DOI: 10.1016/j.chaos.2017.04.022
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    1. West, Bruce J., 2015. "Exact solution to fractional logistic equation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 103-108.
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    Cited by:

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    2. Mousavi, Yashar & Alfi, Alireza, 2018. "Fractional calculus-based firefly algorithm applied to parameter estimation of chaotic systems," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 202-215.

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