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Fractal–Fractional Michaelis–Menten Enzymatic Reaction Model via Different Kernels

Manal Alqhtani, Khaled M. Saad

2021Fractal and Fractional30 citationsDOIOpen Access PDF

Abstract

In this paper, three new models of fractal–fractional Michaelis–Menten enzymatic reaction (FFMMER) are studied. We present these models based on three different kernels, namely, power law, exponential decay, and Mittag-Leffler kernels. We construct three schema of successive approximations according to the theory of fractional calculus and with the help of Lagrange polynomials. The approximate solutions are compared with the resulting numerical solutions using the finite difference method (FDM). Because the approximate solutions in the classical case of the three models are very close to each other and almost matches, it is sufficient to compare one model, and the results were good. We investigate the effects of the fractal order and fractional order for all models. All calculations were performed using Mathematica software.

Topics & Concepts

FractalMathematicsApplied mathematicsExponential functionFractional calculusFractal derivativeSchema (genetic algorithms)Mathematical analysisFractal dimensionComputer scienceFractal analysisMachine learningFractional Differential Equations SolutionsNonlinear Waves and SolitonsStatistical Mechanics and Entropy
Fractal–Fractional Michaelis–Menten Enzymatic Reaction Model via Different Kernels | Litcius