Transition dynamics in aging systems: microscopic origin of logarithmic time evolution

Abstract: There exists compelling experimental evidence in numerous systems for logarithmically slow time evolution, yet its theoretical understanding remains elusive. We here introduce and study a generic transition process in complex systems, based on non-renewal, aging waiting times. Each state n of the system follows a local clock initiated at t=0. The random time \tau between clock ticks follows the waiting time density \psi(\tau). Transitions between states occur only at local clock ticks and are hence triggered by the local forward waiting time, rather than by \psi(\tau). For power-law forms \psi(\tau) ~ \tau^{-1-\alpha} (0<\alpha<1) we obtain a logarithmic time evolution of the state number <n(t)> ~ log(t/t_0), while for \alpha>2 the process becomes normal in the sense that <n(t)> ~ t. In the intermediate range 1<\alpha<2 we find the power-law growth <n(t)> ~ t^{\alpha-1}. Our model provides a universal description for transition dynamics between aging and non-aging states.