We study a motion of an anomalous random walker on finite intervals restricted by two absorbing boundaries. The competition between anomalously long jumps and long waiting times leads to a very general kind of behavior. Trapping events distributed according to the power-law distribution result in occurrence of the Mittag–Leffler decay pattern which in turn is responsible for universal asymptotic properties of escape kinetics. The presence of long jumps which can be distributed according to non-symmetric heavy tailed distributions does not affect asymptotic properties of the survival probability. Therefore, the probability of finding a random walker within a domain of motion decays asymptotically according to the universal pattern derived fr...
We explore the properties of discrete-time stochastic processes with a bounded state space, whose de...
We introduce a persistent random walk model for the stochastic transport of particles involving self...
Extreme events are by nature rare and difficult to predict, yet are often much more important than f...
Properties of the noise-driven escape kinetics are mainly determined by the stochastic component of ...
We study the properties of anomalous diffusion on finite intervals. The process studied due to the p...
We study the properties of anomalous diffusion on finite intervals. The process studied due to the p...
We study the properties of anomalous diffusion on finite intervals. The process studied due to the p...
We study the properties of anomalous diffusion on finite intervals. The process studied due to the p...
Random transport phenomena are ubiquitous in physical systems, spanning all temporal and spatial sca...
We consider one-dimensional discrete-time random walks (RWs) in the presence of finite size traps of...
We consider one-dimensional discrete-time random walks (RWs) in the presence of finite size traps of...
We consider one-dimensional discrete-time random walks (RWs) in the presence of finite size traps of...
We consider one-dimensional discrete-time random walks (RWs) in the presence of finite size traps of...
Within a concept of the fractional diffusion equation and subordination, the paper examines the inf...
The term 'Lévy flights' was coined by Benoit Mandelbrot, who thus poeticized α-stable Lévy random mo...
We explore the properties of discrete-time stochastic processes with a bounded state space, whose de...
We introduce a persistent random walk model for the stochastic transport of particles involving self...
Extreme events are by nature rare and difficult to predict, yet are often much more important than f...
Properties of the noise-driven escape kinetics are mainly determined by the stochastic component of ...
We study the properties of anomalous diffusion on finite intervals. The process studied due to the p...
We study the properties of anomalous diffusion on finite intervals. The process studied due to the p...
We study the properties of anomalous diffusion on finite intervals. The process studied due to the p...
We study the properties of anomalous diffusion on finite intervals. The process studied due to the p...
Random transport phenomena are ubiquitous in physical systems, spanning all temporal and spatial sca...
We consider one-dimensional discrete-time random walks (RWs) in the presence of finite size traps of...
We consider one-dimensional discrete-time random walks (RWs) in the presence of finite size traps of...
We consider one-dimensional discrete-time random walks (RWs) in the presence of finite size traps of...
We consider one-dimensional discrete-time random walks (RWs) in the presence of finite size traps of...
Within a concept of the fractional diffusion equation and subordination, the paper examines the inf...
The term 'Lévy flights' was coined by Benoit Mandelbrot, who thus poeticized α-stable Lévy random mo...
We explore the properties of discrete-time stochastic processes with a bounded state space, whose de...
We introduce a persistent random walk model for the stochastic transport of particles involving self...
Extreme events are by nature rare and difficult to predict, yet are often much more important than f...