Dispersive Lineshape Theory

Abstract

Motivated by recent experiments we consider a stochastic lineshape theory for the case when the underlying process obeys power-law statistics, based on a generalized Anderson-Kubo oscillator model. We derive an analytical expression for the lineshape and find rich type of behaviors when compared with the standard theory, for example, new type of resonances and narrowing phenomena. We show that the lineshape is extremely sensitive to the way the system is prepared at time $t=0$ and discuss the problem of stationarity.