English

Random potentials for pinning models with \nabla and \Delta interactions

Probability 2012-11-19 v1

Abstract

We consider two models for biopolymers, the \nabla interaction and the Δ\Delta one, both with the Gaussian potential in the random environment. A random field φ:0,1,...,NRd\varphi:{0,1,...,N}\rightarrow \Bbb{R}^d represents the position of the polymer path. The law of the field is given by exp(iφi22)\exp(-\sum_i\frac{|\nabla\varphi_i|^2}{2}) where \nabla is the discrete gradient, and by exp(iΔφi22)\exp(-\sum_i\frac{|\Delta\varphi_i|^2}{2}) where Δ\Delta is the discrete Laplacian. For every Gaussian potential 22\frac{|\cdot|^2}{2}, a random charge is added as a factor: (1+βωi)22(1+\beta\omega_i)\frac{|\cdot|^2}{2} with P(ωi=±1)=1/2\Bbb{P}(\omega_i=\pm 1)=1/2 or exp(βωi)22\exp(\beta\omega_i)\frac{|\cdot|^2}{2} with ωi\omega_i obeys a normal distribution. The interaction with the origin in the random field space is considered. Each time the field touches the origin, a reward ϵ0\epsilon\geq 0 is given. Although these models are quite different from the pinning models studied in Giacomin (2007), the result about the gap between the annealed critical point and the quenched critical point stays the same.

Keywords

Cite

@article{arxiv.1211.3768,
  title  = {Random potentials for pinning models with \nabla and \Delta interactions},
  author = {Chien-Hao Huang},
  journal= {arXiv preprint arXiv:1211.3768},
  year   = {2012}
}

Comments

24 pages

R2 v1 2026-06-21T22:39:19.187Z