Mean field theory for skewed height profiles in KPZ growth processes
arXiv:cond-mat/0405559 · doi:10.1088/0305-4470/37/46/001
Abstract
We propose a mean field theory for interfaces growing according to the Kardar-Parisi-Zhang (KPZ) equation in 1+1 dimensions. The mean field equations are formulated in terms of densities at different heights, taking surface tension and the influence of the nonlinear term in the KPZ equation into account. Although spatial correlations are neglected, the mean field equations still reflect the spatial dimensionality of the system. In the special case of Edwards-Wilkinson growth,our mean field theory correctly reproduces all features. In the presence of a nonlinear term one observes a crossover to a KPZ-like behavior with the correct dynamical exponent . In particular we compute the skewed interface profile during roughening, and we study the influence of a co-moving reflecting wall, which has been discussed recently in the context of nonequilibrium wetting and synchronization transitions. Also here the mean field approximation reproduces all qualitative features of the full KPZ equation, although with different values of the surface exponents.
24 pages, 5 figures Resubmitted after small changes due to referees' report
References in corpus (1)
Cited by in corpus (11)
- Chaotic synchronizations of spatially extended systems as non-equilibrium phase transitions
- Nonequilibrium wetting of finite samples
- Skewness in (1+1)-dimensional Kardar-Parisi-Zhang-type growth
- Mean-field approximations for the restricted solid-on-solid growth models
- Non-order parameter Langevin equation for a bounded Kardar-Parisi-Zhang universality class
- Influence of diffusion on models for non-equilibrium wetting
- Synchronization of spatio-temporal chaos as an absorbing phase transition: a study in 2+1 dimensions
- Nonequilibrium wetting
- Dynamic wetting with two competing adsorbates
- Numerical study of a model for non-equilibrium wetting
- Critical wetting of a class of nonequilibrium interfaces: A computer simulation study