Moderate deviations for diffusion in time dependent random media
- 1. Laboratoire de Physique de l'École Normale Supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris, 75005 Paris (France)
Description
The position x(t) of a particle diffusing in a one-dimensional uncorrelated and time dependent random medium is simply Gaussian distributed in the typical direction, i.e. along the ray x = v 0 t, where v 0 is the average drift. However, it has been found that it exhibits at large time sample to sample fluctuations characteristic of the Kardar–Parisi–Zhang (KPZ) universality class when observed in an atypical direction, i.e. along the ray x = v t with v ≠ v 0. Here we show, from exact solutions, that in the moderate deviation regime x − v 0 t ∝ t 3/4 these fluctuations are precisely described by the finite time KPZ equation, which thus describes the crossover between the Gaussian typical regime and the KPZ fixed point regime for the large deviations. This confirms heuristic arguments given in [2]. These exact results include the discrete model known as the Beta random walk in a time dependent random environment, and a continuum diffusion. They predict the behavior of the maximum of a large number of independent walkers, which should be easier to observe (e.g. in experiments) in this moderate deviations regime. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1751-8121/ab8b39Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. A, Mathematical and Theoretical (Online)
- Journal Volume
- 53
- Journal Issue
- 21
- Journal Page Range
- [22 p.]
- ISSN
- 1751-8121
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52065712
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- DIFFUSION; EQUATIONS; EXACT SOLUTIONS; FLUCTUATIONS; GRAPH THEORY; RANDOMNESS; TIME DEPENDENCE
- Descriptors DEC
- MATHEMATICAL SOLUTIONS; MATHEMATICS; VARIATIONS