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Article
Numerical Study of Generalized Modified Caputo Fractional Differential Equations
International Journal of Computer Mathematics
  • Imran Talib
  • Martin Bohner, Missouri University of Science and Technology
Abstract

In the present study, we introduce two new operational matrices of fractional Legendre function vectors in the sense of generalized Caputo-type fractional derivative and generalized Riemann-Liouville-type fractional integral operators. The derivative and integral operational matrices developed in the sense of Caputo and Riemann-Liouville operators are special cases of our proposed generalized operational matrices for (Formula presented.). Then, we present a numerical method that is dependent on the generalized derivative and integral operational matrices. The applicability and accuracy of the presented method is tested by solving various problems and then comparing the results obtained otherwise by using various numerical methods including spectral collocation methods, spectral Tau method, stochastic approach, and Taylor matrix approach. Moreover, our presented method transforms the problems into Sylvester equations that are easily solvable by using MATLAB or MATHEMATICA. We believe that the newly derived generalized operational matrices and the presented method are expected to be further used to formulate and simulate many generalized Caputo-type fractional models.

Department(s)
Mathematics and Statistics
Keywords and Phrases
  • 26A33,
  • 35R11,
  • 65L05,
  • Generalized Fractional Derivative in Caputo Sense,
  • Generalized Operational Matrices,
  • Legendre Function Vectors,
  • Orthogonal Polynomials,
  • Sylvester Equations
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2022 Taylor and Francis Group, All rights reserved.
Publication Date
1-1-2022
Publication Date
01 Jan 2022
Citation Information
Imran Talib and Martin Bohner. "Numerical Study of Generalized Modified Caputo Fractional Differential Equations" International Journal of Computer Mathematics (2022) ISSN: 1029-0265; 0020-7160
Available at: http://works.bepress.com/martin-bohner/220/