Effects of the tempered aging and its Fokker-Planck equation

TL;DR

This paper investigates the aging effects in renewal processes with tempered power-law waiting times, deriving related equations and analyzing their impact on diffusion and mean square displacement.

Contribution

It introduces a comprehensive analysis of aging renewal processes with tempered distributions, including new derivations of moments, survival probabilities, and a tempered aging diffusion equation.

Findings

Derived the $p$-th moment of renewal events for aged systems

Analyzed the tempered aging continuous time random walk and its Einstein relation

Established the tempered aging diffusion equation

Abstract

In the renewal processes, if the waiting time probability density function is a tempered power-law distribution, then the process displays a transition dynamics; and the transition time depends on the parameter $\lambda$ of the exponential cutoff. In this paper, we discuss the aging effects of the renewal process with the tempered power-law waiting time distribution. By using the aging renewal theory, the $p$-th moment of the number of renewal events $n_a(t_a, t)$ in the interval $(t_a, t_a+t)$ is obtained for both the weakly and strongly aged systems; and the corresponding surviving probabilities are also investigated. We then further analyze the tempered aging continuous time random walk and its Einstein relation, and the mean square displacement is attained. Moreover, the tempered aging diffusion equation is derived.