English

Pinning and wetting transition for (1+1)-dimensional fields with Laplacian interaction

Probability 2009-01-22 v3

Abstract

We consider a random field φ:{1,...,N}R\varphi:\{1,...,N\}\to\mathbb{R} as a model for a linear chain attracted to the defect line φ=0\varphi=0, that is, the x-axis. The free law of the field is specified by the density exp(iV(Δφi))\exp(-\sum_iV(\Delta\varphi_i)) with respect to the Lebesgue measure on RN\mathbb{R}^N, where Δ\Delta is the discrete Laplacian and we allow for a very large class of potentials V()V(\cdot). The interaction with the defect line is introduced by giving the field a reward ε0\varepsilon\ge0 each time it touches the x-axis. We call this model the pinning model. We consider a second model, the wetting model, in which, in addition to the pinning reward, the field is also constrained to stay nonnegative. We show that both models undergo a phase transition as the intensity ε\varepsilon of the pinning reward varies: both in the pinning (a=pa=\mathrm{p}) and in the wetting (a=wa=\mathrm{w}) case, there exists a critical value εca\varepsilon_c^a such that when ε>εca\varepsilon>\varepsilon_c^a the field touches the defect line a positive fraction of times (localization), while this does not happen for ε<εca\varepsilon<\varepsilon_c^a (delocalization). The two critical values are nontrivial and distinct: 0<εc\mathrmp<εcw<0<\varepsilon_c^{\mat hrm{p}}<\varepsilon_c^{\mathrm{w}}<\infty, and they are the only nonanalyticity points of the respective free energies. For the pinning model the transition is of second order, hence the field at ε=εcp\varepsilon=\varepsilon_c^{\mathrm{p}} is delocalized. On the other hand, the transition in the wetting model is of first order and for ε=εcw\varepsilon=\varepsilon_c^{\mathrm{w}} the field is localized. The core of our approach is a Markov renewal theory description of the field.

Keywords

Cite

@article{arxiv.math/0703434,
  title  = {Pinning and wetting transition for (1+1)-dimensional fields with Laplacian interaction},
  author = {Francesco Caravenna and Jean-Dominique Deuschel},
  journal= {arXiv preprint arXiv:math/0703434},
  year   = {2009}
}

Comments

Published in at http://dx.doi.org/10.1214/08-AOP395 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)

R2 v1 2026-07-22T17:52:41.134Z