AbstractIn a continuous time random walk (CTRW), a random waiting time precedes each random jump. The CTRW is coupled if the waiting time and the subsequent jump are dependent random variables. The CTRW is used in physics to model diffusing particles. Its scaling limit is governed by an anomalous diffusion equation. Some applications require an overshoot continuous time random walk (OCTRW), where the waiting time is coupled to the previous jump. This paper develops stochastic limit theory and governing equations for CTRW and OCTRW. The governing equations involve coupled space–time fractional derivatives. In the case of infinite mean waiting times, the solutions to the CTRW and OCTRW governing equations can be quite different
The continuous time random walk (CTRW) is a natural generalization of the Brownian random walk that...
Anomalous transport is usually described either by models of continuous time random walks (CTRWs) or...
Continuous time random walks, which generalize random walks by adding a stochastic time between jump...
AbstractIn a continuous time random walk (CTRW), a random waiting time precedes each random jump. Th...
Abstract. Scaling limits of continuous time random walks are used in physics to model anomalous diff...
Continuous time random walks (CTRWs) are used in physics to model anomalous diffusion, by incorporat...
Continuous Time Random Walks (CTRWs) provide stochastic models for the random movement of any entity...
The well-scaled transition to the diffusion limit in the framework of the theory of continuous-time...
A mathematical approach to anomalous diffusion may be based on generalized diffusion equations (c...
Abstract. Continuous time random walks impose a random waiting time before each particle jump. Scali...
General Invited Lecture Some types of anomalous diffusion can be modelled by generalized diffusion...
The continuous time random walk (CTRW) is a natural generalization of the Brownian random walk that ...
The foundations of the fractional diffusion equation are investigated based on coupled and decoupled...
The well-scaled transition to the diffusion limit in the framework of the theory of continuous...
The fractional diffusion equation is derived from the master equation of continuous time random walk...
The continuous time random walk (CTRW) is a natural generalization of the Brownian random walk that...
Anomalous transport is usually described either by models of continuous time random walks (CTRWs) or...
Continuous time random walks, which generalize random walks by adding a stochastic time between jump...
AbstractIn a continuous time random walk (CTRW), a random waiting time precedes each random jump. Th...
Abstract. Scaling limits of continuous time random walks are used in physics to model anomalous diff...
Continuous time random walks (CTRWs) are used in physics to model anomalous diffusion, by incorporat...
Continuous Time Random Walks (CTRWs) provide stochastic models for the random movement of any entity...
The well-scaled transition to the diffusion limit in the framework of the theory of continuous-time...
A mathematical approach to anomalous diffusion may be based on generalized diffusion equations (c...
Abstract. Continuous time random walks impose a random waiting time before each particle jump. Scali...
General Invited Lecture Some types of anomalous diffusion can be modelled by generalized diffusion...
The continuous time random walk (CTRW) is a natural generalization of the Brownian random walk that ...
The foundations of the fractional diffusion equation are investigated based on coupled and decoupled...
The well-scaled transition to the diffusion limit in the framework of the theory of continuous...
The fractional diffusion equation is derived from the master equation of continuous time random walk...
The continuous time random walk (CTRW) is a natural generalization of the Brownian random walk that...
Anomalous transport is usually described either by models of continuous time random walks (CTRWs) or...
Continuous time random walks, which generalize random walks by adding a stochastic time between jump...