𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Random walks in two-dimensional glass-like environments

✍ Scribed by Beatrix Schulz; Steffen Trimper


Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
114 KB
Volume
256
Category
Article
ISSN
0375-9601

No coin nor oath required. For personal study only.

✦ Synopsis


The asymptotic behavior of a diffusive particle under the influence of an environment and of a dynamical feedback coupling is considered in the framework of a two-dimensional numerical simulation. The feedback is controlled by a Ε½ . memory term of strength l. A sufficient negative memory term l -0 offers a superdiffusive behavior with logarithmic Ε½ . corrections to conventional diffusion, whereas a positive feedback coupling l ) 0 is related to a weak subdiffusion or leads to localization of the particle. The numerical simulations are in agreement with results of a renormalization group approach and of the mode-coupling theory.


πŸ“œ SIMILAR VOLUMES


Deterministic walks in random environmen
✍ Leonid A Bunimovich πŸ“‚ Article πŸ“… 2004 πŸ› Elsevier Science 🌐 English βš– 95 KB

Deterministic walks in random environments (DWRE) occupy an intermediate position between purely random (generated by random trials) and purely deterministic (generated by deterministic dynamical systems, e.g., by maps) models of diffusion. These models combine deterministic and probabilistic featur

Stopped two-dimensional perturbed random
✍ Allan Gut πŸ“‚ Article πŸ“… 1997 πŸ› Elsevier Science 🌐 English βš– 411 KB

Limit theorems for stopped two-dimensional random walks are generalized to perturbed random walks and perturbed Lrvy processes. We conclude with an application to repeated significance tests in two-parameter exponential families and an example. @ 1997 Elsevier Science B.V.

Logarithmic corrections in the survival
✍ J. KΓΆhler πŸ“‚ Article πŸ“… 1990 πŸ› Elsevier Science 🌐 English βš– 534 KB

We study the survival probability of a particle that performs a random walk in a medium with traps where the trapping strength V is distributed randomly. We use an approach which is asymptotically exact and brings Wn(s), the number of distinct sites s visited after n steps, into play. Particularly i