TL;DR: A numerical method, consisting in approximating the fractional derivative by a sum that depends on the first-order derivative, is presented and the efficiency and applicability of the method are shown.
TL;DR: This concept of ''memory-dependent derivative'', which is simply defined in an integral form of a common derivative with a kernel function on a slipping interval, is better than the fractional one for reflecting the memory effect.
Abstract: Enlightened by the Caputo type of fractional derivative, here we bring forth a concept of ''memory-dependent derivative'', which is simply defined in an integral form of a common derivative with a kernel function on a slipping interval. In case the time delay tends to zero it tends to the common derivative. High order derivatives also accord with the first order one. Comparatively, the form of kernel function for the fractional type is fixed, yet that of the memory-dependent type can be chosen freely according to the necessity of applications. So this kind of definition is better than the fractional one for reflecting the memory effect (instantaneous change rate depends on the past state). Its definition is more intuitionistic for understanding the physical meaning and the corresponding memory-dependent differential equation has more expressive force.
TL;DR: In this paper, a general conformable fractional derivative (GCFD) is proposed to describe the physical world, which is generalized from the concept of CFD proposed by Khalil.
Abstract: Fractional calculus is a powerful and effective tool for modelling nonlinear systems. In this paper, we introduce a class of new fractional derivative named general conformable fractional derivative (GCFD) to describe the physical world. The GCFD is generalized from the concept of conformable fractional derivative (CFD) proposed by Khalil. We point out that the term $$t^{1-\alpha }$$
in CFD definition is not essential and it is only a kind of “fractional conformable function”. We also give physical and geometrical interpretations of GCFD which thus indicate potential applications in physics and engineering. It is easy to demonstrate that CFD is a special case of GCFD, then to the authors’ knowledge, so far we first give the physical and geometrical interpretations of CFD. The above work is done by a new framework named Extended Gâteaux derivative and Linear Extended Gâteaux derivative which are natural extensions of Gâteaux derivative. As an application, we discuss a scheme for solving fractional differential equations of GCFD.
TL;DR: In this paper, the first six coefficients of a function which is inverse to a regular normalized univalent function whose derivative has a positive real part in the unit disk are used to find sharp bounds.
Abstract: Coefficient bounds for functions with a positive real part are used in a rather novel way to find sharp bounds for the first six coefficients of a function which is inverse to a regular normalized univalent function whose derivative has a positive real part in the unit disk.