English

The scaling limits of the non critical strip wetting model

Probability 2015-03-06 v2

Abstract

The strip wetting model is defined by giving a (continuous space) one dimensionnal random walk SS a reward \gb\gb each time it hits the strip R+×[0,a]\R^{+} \times [0,a] (where aa is a positive parameter), which plays the role of a defect line. We show that this model exhibits a phase transition between a delocalized regime (\gb<\gbca\gb < \gb_{c}^{a}) and a localized one (\gb>\gbca\gb > \gb_{c}^{a}), where the critical point \gbca>0\gb_{c}^{a} > 0 depends on SS and on aa. In this paper we give a precise pathwise description of the transition, extracting the full scaling limits of the model. Our approach is based on Markov renewal theory.

Keywords

Cite

@article{arxiv.1406.3604,
  title  = {The scaling limits of the non critical strip wetting model},
  author = {Julien Sohier},
  journal= {arXiv preprint arXiv:1406.3604},
  year   = {2015}
}

Comments

32 pages. To appear in "Stochastic Processes and their Applications"