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On the Stability and Numerical Scheme of Fractional Differential Equations with Application to Biology

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The fractional differential equations involving different types of fractional derivatives are currently used in many fields of science and engineering. Therefore, the first purpose of this study is to investigate the qualitative properties including the stability, asymptotic stability, as well as Mittag–Leffler stability of solutions of fractional differential equations with the new generalized Hattaf fractional derivative, which encompasses the popular forms of fractional derivatives with non-singular kernels. These qualitative properties are obtained by constructing a suitable Lyapunov function. Furthermore, the second aim is to develop a new numerical method in order to approximate the solutions of such types of equations. The developed method recovers the classical Euler numerical scheme for ordinary differential equations. Finally, the obtained analytical and numerical results are applied to a biological nonlinear system arising from epidemiology.
Title: On the Stability and Numerical Scheme of Fractional Differential Equations with Application to Biology
Description:
The fractional differential equations involving different types of fractional derivatives are currently used in many fields of science and engineering.
Therefore, the first purpose of this study is to investigate the qualitative properties including the stability, asymptotic stability, as well as Mittag–Leffler stability of solutions of fractional differential equations with the new generalized Hattaf fractional derivative, which encompasses the popular forms of fractional derivatives with non-singular kernels.
These qualitative properties are obtained by constructing a suitable Lyapunov function.
Furthermore, the second aim is to develop a new numerical method in order to approximate the solutions of such types of equations.
The developed method recovers the classical Euler numerical scheme for ordinary differential equations.
Finally, the obtained analytical and numerical results are applied to a biological nonlinear system arising from epidemiology.

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