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Numerical Solutions of a Variable‐Order Fractional Financial System

Author

Listed:
  • Shichang Ma
  • Yufeng Xu
  • Wei Yue

Abstract

The numerical solution of a variable‐order fractional financial system is calculated by using the Adams‐Bashforth‐Moulton method. The derivative is defined in the Caputo variable‐order fractional sense. Numerical examples show that the Adams‐Bashforth‐Moulton method can be applied to solve such variable‐order fractional differential equations simply and effectively. The convergent order of the method is also estimated numerically. Moreover, the stable equilibrium point, quasiperiodic trajectory, and chaotic attractor are found in the variable‐order fractional financial system with proper order functions.

Suggested Citation

  • Shichang Ma & Yufeng Xu & Wei Yue, 2012. "Numerical Solutions of a Variable‐Order Fractional Financial System," Journal of Applied Mathematics, John Wiley & Sons, vol. 2012(1).
  • Handle: RePEc:wly:jnljam:v:2012:y:2012:i:1:n:417942
    DOI: 10.1155/2012/417942
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    References listed on IDEAS

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    1. Agrawal, S.K. & Srivastava, M. & Das, S., 2012. "Synchronization of fractional order chaotic systems using active control method," Chaos, Solitons & Fractals, Elsevier, vol. 45(6), pages 737-752.
    2. Sun, HongGuang & Chen, Wen & Chen, YangQuan, 2009. "Variable-order fractional differential operators in anomalous diffusion modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(21), pages 4586-4592.
    3. Chen, Wei-Ching, 2008. "Nonlinear dynamics and chaos in a fractional-order financial system," Chaos, Solitons & Fractals, Elsevier, vol. 36(5), pages 1305-1314.
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    Cited by:

    1. Lei He & Xiong Wang, 2014. "Parameters Estimation and Stability Analysis of Nonlinear Fractional‐Order Economic System Based on Empirical Data," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
    2. Yiding Yue & Lei He & Guanchun Liu, 2013. "Modeling and Application of a New Nonlinear Fractional Financial Model," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).

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