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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM32971
Volume:
8 |
5 |
May 2024
Pages:
1-7
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Independent Researcher
Independent Researcher
Fractional differential equations (FDEs) have turned into a key of modelling complex systems that exhibit memory and hereditary behaviour, unsuitably represented by classical integer-order differential equations. The paper discusses how transform methods, specifically the Laplace transform, can be applied in the solution of a fractional differential equation. The paper will give a summary of the definition of fractional calculus, its most common definitions, including the Riemann-Liouville and Caputo derivatives. It also explains how transform methods make solving FDEs simpler as they are used to change the differential equations into algebraic equations thus making them easier to find analytical solutions. The applicability of FDEs in other fields like engineering, physics and control systems is emphasized. The paper also evaluates literature available to establish research gaps that are present in the literature specifically in the incorporation of transform methods and its application to real-life practice. The results also suggest that transform methods provide a systematized and effective solution to the fractional differential equations and, hence, they are most useful in solving highly complicated scientific and engineering problems.
KEYWORDS
This paper has discussed how transform methods can be used to solve fractional differential equations. Fractional calculus offers an effective skeleton of descriptions of complex systems having memory and hereditary traits, and transform methods like the Laplace transform give an effective way of getting analytical ones. This discussion shows that transform techniques make the solution process simple because differential equations are reduced to algebraic equations, which cause them to be easy to solve. It is further increased by using special functions like the Mittag-Leffler function to express solutions of the fractional systems. Although they are effective, further research is still possible, especially to office nonlinear problems and to enhance the efficiency of the computations. Further research on line with work may be carried further by thinking about combining transform-based methods with numerical techniques to consider more practical real world considerations.
1. Podlubny, I., Fractional Differential Equations, Academic Press, New York, 1999. 2. Kilbas, A. A., Srivastava, H. M., and Trujillo, J. J., Theory and Applications of Fractional Differential Equations, Elsevier, Amsterdam, 2006. 3. Oldham, K. B., and Spanier, J., The Fractional Calculus, Academic Press, New York, 1974. 4. Mainardi, F., Fractional Calculus and Waves in Linear Viscoelasticity, Imperial College Press, London, 2010. 5. Diethelm, K., The Analysis of Fractional Differential Equations, Springer, Berlin, 2010. 6. Miller, K. S., and Ross, B., An Introduction to the Fractional Calculus and Fractional Differential Equations, Wiley, New York, 1993. 7. Hilfer, R., Applications of Fractional Calculus in Physics, World Scientific Publishing, Singapore, 2000. 8. Magin, R. L., Fractional Calculus in Bioengineering, Begell House Publishers, 2006. 9. Das, S., Functional Fractional Calculus, Springer, 2011. 10. Zaslavsky, G. M., Chaos, fractional kinetics, and anomalous transport, Physics Reports, 371(6), 461–580, 2002.
Publication Date
5/28/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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