An Enhanced Collocation Method for Multi-Term Fractional Differential Equations: Development and Application to Disease Dynamics

Authors

  • Justice J. Mamza Department of Mathematics and Statistics, Federal Polytechnic N’yak, Shendam, Plateau State, Nigeria Author https://orcid.org/0009-0004-4602-0215
  • Ojobo S. Ocheka Department of Mathematics, Faculty of Physical Sciences, Modibbo Adama University, Yola, Nigeria Author https://orcid.org/0009-0008-1039-1902
  • Ajayi Enock Department of Mathematics and Statistics, Federal Polytechnic N’yak, Shendam, Plateau State, Nigeria Author
  • Muhammadu Abdullahi Department of Mathematics and Statistics, Federal Polytechnic N’yak, Shendam, Plateau State, Nigeria Author

DOI:

https://doi.org/10.62054/ijdm/0203.02

Keywords:

Fractional Differential Equations, Collocation Method, Caputo Derivative, Epidemiological Modeling, Monkeypox, Tuberculosis, Numerical Solution.

Abstract

This paper presents an enhanced collocation-based numerical framework for solving mixed-order fractional differential equations (FDEs) by transforming them into an algebraic system using polynomial expansion and Gauss-Legendre collocation points. The method's high accuracy and robustness are validated through its application to fractional-order models of Monkeypox transmission and Tuberculosis dynamics, achieving perfect agreement with exact solutions and yielding zero error. The results demonstrate that this approach is a powerful and efficient computational tool for handling the memory-dependent characteristics inherent in complex scientific problems, especially in epidemiological modeling.

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Published

2025-09-28

How to Cite

An Enhanced Collocation Method for Multi-Term Fractional Differential Equations: Development and Application to Disease Dynamics. (2025). International Journal of Development Mathematics (IJDM), 2(3), 024-045. https://doi.org/10.62054/ijdm/0203.02

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