Fractional Prabhakar Derivative in Diffusion Equation with Non-Static Stochastic Resetting

In this work, we investigate a series of mathematical aspects for the fractional diffusion equation with stochastic resetting. The stochastic resetting process in Evans-Majumdar sense has several applications in science, with a particular emphasis on non-equilibrium physics and biological systems. We propose a version of the stochastic resetting theory for systems in which the reset point is in motion, so the walker does not return to the initial position as in the standard model, but returns to a point that moves in space. In addition, we investigate the proposed stochastic resetting model for diffusion with the fractional operator of Prabhakar. The derivative of Prabhakar consists of an integro-differential operator that has a Mittag-Leffler function with three parameters in the integration kernel, so it generalizes a series of fractional operators such as Riemann-Liouville-Caputo. We present how the generalized model of stochastic resetting for fractional diffusion implies a rich class of anomalous diffusive processes, i.e., <mml:semantics><(Delta x)2 > proportional to t alpha</mml:semantics>, which includes sub-super-hyper-diffusive regimes. In the sequence, we generalize these ideas to the fractional Fokker-Planck equation for quadratic potential <mml:semantics>U(x)=ax2+bx+c</mml:semantics>. This work aims to present the generalized model of Evans-Majumdar's theory for stochastic resetting under a new perspective of non-static restart points.