The method of Quasilinearization for scalar Caputo fractional differential equation
DOI:
https://doi.org/10.22399/ijcesen.5041Keywords:
Caputo Fractional differential equation, quasilinearization, upper solution, lower solutionAbstract
Non-linear problems occurring naturally in many branches of science, engineering, etc. are differential equations with integer order derivative. Fractional differential equations (FDEs) may model more effectively certain problems, than ordinary differential equations. Various methods for solving FDEs are being developed and these solutions have great importance in related fields. The method of replacing the original non-linear Caputo fractional differential equation by differential inequalities, whose associated equations can be solved, is known as ‘quasilinearization’. In this paper we establish the method of upper and lower solutions coupled with the method of quasilinearization that converge to the solution of the Caputo fractional differential equation.
References
[1] Kilbas, A., Srivastava, H. M., & Trujillo, J. J. (2009). Theory and applications of fractional dynamic systems. Cambridge Scientific Publishers.
[2] Oldham, B., & Spanier, J. (1974). The fractional calculus. Academic Press.
[3] Podlubny, I. (1999). Fractional differential equations. Academic Press.
[4] Caputo, M. (1967). Linear models of dissipation whose Q is almost independent, II. Geophysical Journal of the Royal Astronomical Society, 13, 529–539.
[5] Lakshmikantham, V., Leela, S., & Vasundhara Devi. (2009). Theory of fractional dynamic systems. Cambridge Scientific Publishers.
[6] Glockle, W. G., & Nonnenmacher, T. F. (1995). A fractional calculus approach to self-similar protein dynamics. Biophysical Journal, 68, 46–53.
[7] Yang, X. H., & Liu, Y. J. (2014). Picard’s iterative process for initial value problems of singular fractional differential equations. Advances in Difference Equations, 2014(1), 102.
[8] Lyons, R., Vatsala, A. S., & Chiquet, R. A. (2017). Picard’s iterative method for Caputo fractional differential equations with numerical results. MDPI Journal.
[9] Sowmya, M., & Vatsala, A. S. (2013). Numerical approach via generalized monotone method for scalar Caputo fractional differential equations. Neural, Parallel, and Scientific Computations, 21, 19–30.
[10] Ladde, G. S., Lakshmikantham, V., & Vatsala, A. S. (1985). Monotone iterative techniques for nonlinear differential equations. Pitman Publishing.
[11] Lakshmikantham, V., & Vatsala, A. S. (1998). Generalized quasilinearization for nonlinear problems. Springer.
[12] Vatsala, A. S., Shahzad, N., & Koksal, S. (1996). The method of generalized quasilinearization in finite systems. Nonlinear World, 151–157.
[13] Sowmya, M., Vatsala, A. S., Noel, C., Sheila, H., Zenia, N., Dayonna, P., & Jasmine, W. (2012). Numerical application of generalized monotone method for population models. Neural, Parallel, and Scientific Computations, 20, 359–372.
[14] Sowmya, M., & Vatsala, A. S. (2013). Superlinear convergence for Caputo fractional differential equations with application. Dynamic Systems and Applications, 22, 479–492.
[15] Ross, B. (1975). A Brief History and Exposition of the Fundamental Theory of Fractional Calculus. In Fractional calculus and its applications (Lecture Notes in Mathematics, Vol. 457, pp. 1–36). Springer.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 International Journal of Computational and Experimental Science and Engineering

This work is licensed under a Creative Commons Attribution 4.0 International License.