English

Dynamical phase transition in large deviation statistics of the Kardar-Parisi-Zhang equation

Statistical Mechanics 2016-09-29 v3

Abstract

We study the short-time behavior of the probability distribution P(H,t)\mathcal{P}(H,t) of the surface height h(x=0,t)=Hh(x=0,t)=H in the Kardar-Parisi-Zhang (KPZ) equation in 1+11+1 dimension. The process starts from a stationary interface: h(x,t=0)h(x,t=0) is given by a realization of two-sided Brownian motion constrained by h(0,0)=0h(0,0)=0. We find a singularity of the large deviation function of HH at a critical value H=HcH=H_c. The singularity has the character of a second-order phase transition. It reflects spontaneous breaking of the reflection symmetry xxx \leftrightarrow -x of optimal paths h(x,t)h(x,t) predicted by the weak-noise theory of the KPZ equation. At HHc|H|\gg |H_c| the corresponding tail of P(H)\mathcal{P}(H) scales as lnPH3/2/t1/2-\ln \mathcal{P} \sim |H|^{3/2}/t^{1/2} and agrees, at any t>0t>0, with the proper tail of the Baik-Rains distribution, previously observed only at long times. The other tail of P\mathcal{P} scales as lnPH5/2/t1/2-\ln \mathcal{P} \sim |H|^{5/2}/t^{1/2} and coincides with the corresponding tail for the sharp-wedge initial condition.

Keywords

Cite

@article{arxiv.1606.08738,
  title  = {Dynamical phase transition in large deviation statistics of the Kardar-Parisi-Zhang equation},
  author = {Michael Janas and Alex Kamenev and Baruch Meerson},
  journal= {arXiv preprint arXiv:1606.08738},
  year   = {2016}
}

Comments

11 pages including three appendices, 8 figures. A few typos corrected