English

Dynamics of $(2+1)$-dimensional SOS surfaces above a wall: Slow mixing induced by entropic repulsion

Probability 2014-07-25 v3 Mathematical Physics math.MP

Abstract

We study the Glauber dynamics for the (2+1)D(2+1)\mathrm{D} Solid-On-Solid model above a hard wall and below a far away ceiling, on an L×LL\times L box of Z2\mathbb{Z}^2 with zero boundary conditions, at large inverse-temperature β\beta. It was shown by Bricmont, El Mellouki and Fr\"{o}hlich [J. Stat. Phys. 42 (1986) 743-798] that the floor constraint induces an entropic repulsion effect which lifts the surface to an average height H(1/β)logLH\asymp(1/\beta)\log L. As an essential step in understanding the effect of entropic repulsion on the Glauber dynamics we determine the equilibrium height HH to within an additive constant: H=(1/4β)logL+O(1)H=(1/4\beta)\log L+O(1). We then show that starting from zero initial conditions the surface rises to its final height HH through a sequence of metastable transitions between consecutive levels. The time for a transition from height h=aHh=aH, a(0,1)a\in(0,1), to height h+1h+1 is roughly exp(cLa)\exp(cL^a) for some constant c>0c>0. In particular, the mixing time of the dynamics is exponentially large in LL, that is, TMIXecLT_{\mathrm{MIX}}\geq e^{cL}. We also provide the matching upper bound TMIXecLT_{\mathrm{MIX}}\leq e^{c'L}, requiring a challenging analysis of the statistics of height contours at low temperature and new coupling ideas and techniques. Finally, to emphasize the role of entropic repulsion we show that without a floor constraint at height zero the mixing time is no longer exponentially large in LL.

Keywords

Cite

@article{arxiv.1205.6884,
  title  = {Dynamics of $(2+1)$-dimensional SOS surfaces above a wall: Slow mixing induced by entropic repulsion},
  author = {Pietro Caputo and Eyal Lubetzky and Fabio Martinelli and Allan Sly and Fabio Lucio Toninelli},
  journal= {arXiv preprint arXiv:1205.6884},
  year   = {2014}
}

Comments

Published in at http://dx.doi.org/10.1214/13-AOP836 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)