Lecture 05: Stochastic processes and evolution equations in the models of anoma lous diffusion
We present a general model of continuous time random walks (CTRWs), leading to dif ferent types of diffusion (standard diffusion, subdiffusion, superdiffusion, fractional dif fusion) and obtain governing equations for probability density functions of the processes being the scaling limits of CTRWs. In the regime of standard diffusion, one obtains the stan dard diffusion equation. In some particular cases of other regimes of CTRWs, the govern ing equations are actually time- or/and space-fractional diffusion equations. We discuss a large class of generalized time-fractional evolution equations, the subordination structure of their solutions (and hence their relation to semigroups and Markov processes), and dif ferent classes of underlying stochastic processes. In particular, we present Feymnan-Kac formulae for solutions of such equations on the base of Markov processes time-changed by inverse subordinators, and on the base of randomly scaled Gaussian processes (such as Generalized Grey Brownian Motion (GGBM)).