Dynamical Renormalization Group Study for a Class of Non-local Interface Equations
arXiv:1110.0431 · doi:10.1088/1742-5468/2011/10/P10030
Abstract
We provide a detailed Dynamic Renormalization Group study for a class of stochastic equations that describe non-conserved interface growth mediated by non-local interactions. We consider explicitly both the morphologically stable case, and the less studied case in which pattern formation occurs, for which flat surfaces are linearly unstable to periodic perturbations. We show that the latter leads to non-trivial scaling behavior in an appropriate parameter range when combined with the Kardar-Parisi-Zhang (KPZ) non-linearity, that nevertheless does not correspond to the KPZ universality class. This novel asymptotic behavior is characterized by two scaling laws that fix the critical exponents to dimension-independent values, that agree with previous reports from numerical simulations and experimental systems. We show that the precise form of the linear stabilizing terms does not modify the hydrodynamic behavior of these equations. One of the scaling laws, usually associated with Galilean invariance, is shown to derive from a vertex cancellation that occurs (at least to one loop order) for any choice of linear terms in the equation of motion and is independent on the morphological stability of the surface, hence generalizing this well-known property of the KPZ equation. Moreover, the argument carries over to other systems like the Lai-Das Sarma-Villain equation, in which vertex cancellation is known {\em not to} imply an associated symmetry of the equation.
34 pages, 9 figures. Journal of Statistical Mechanics: Theory and Experiments (in press)
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- Universality of cauliflower-like fronts: from nanoscale thin films to macroscopic plants
- Strong anisotropy in two-dimensional surfaces with generic scale invariance: Gaussian and related models
- Dimensional fragility of the Kardar-Parisi-Zhang universality class
- Strong anisotropy in two-dimensional surfaces with generic scale invariance: Non-linear effects