Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2008-06-20
PNAS 105, 5675 (2008)
Physics
Condensed Matter
Statistical Mechanics
21 pages, 3 figures. Submitted version
Scientific paper
10.1073/pnas.0712158105
Subdiffusive motion of tracer particles in complex crowded environments, such as biological cells, has been shown to be widepsread. This deviation from brownian motion is usually characterized by a sublinear time dependence of the mean square displacement (MSD). However, subdiffusive behavior can stem from different microscopic scenarios, which can not be identified solely by the MSD data. In this paper we present a theoretical framework which permits to calculate analytically first-passage observables (mean first-passage times, splitting probabilities and occupation times distributions) in disordered media in any dimensions. This analysis is applied to two representative microscopic models of subdiffusion: continuous-time random walks with heavy tailed waiting times, and diffusion on fractals. Our results show that first-passage observables provide tools to unambiguously discriminate between the two possible microscopic scenarios of subdiffusion. Moreover we suggest experiments based on first-passage observables which could help in determining the origin of subdiffusion in complex media such as living cells, and discuss the implications of anomalous transport to reaction kinetics in cells.
Benichou Olivier
Condamin Sylvain
Klafter Joseph
Tejedor Vincent
Voituriez Raphael
No associations
LandOfFree
Probing microscopic origins of confined subdiffusion by first-passage observables does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Probing microscopic origins of confined subdiffusion by first-passage observables, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Probing microscopic origins of confined subdiffusion by first-passage observables will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-371039