English

Dimensional reduction and its breakdown in the driven random field O(N) model

Statistical Mechanics 2017-11-22 v3 Disordered Systems and Neural Networks

Abstract

The critical behavior of the random field O(N)O(N) model driven at a uniform velocity is investigated at zero-temperature. From naive phenomenological arguments, we introduce a dimensional reduction property, which relates the large-scale behavior of the DD-dimensional driven random field O(N)O(N) model to that of the (D1)(D-1)-dimensional pure O(N)O(N) model. This is an analogue of the dimensional reduction property in equilibrium cases, which states that the large-scale behavior of DD-dimensional random field models is identical to that of (D2)(D-2)-dimensional pure models. However, the dimensional reduction property breaks down in low enough dimensions due to the presence of multiple meta-stable states. By employing the non-perturbative renormalization group approach, we calculate the critical exponents of the driven random field O(N)O(N) model near three-dimensions and determine the range of NN in which the dimensional reduction breaks down.

Keywords

Cite

@article{arxiv.1704.03644,
  title  = {Dimensional reduction and its breakdown in the driven random field O(N) model},
  author = {Taiki Haga},
  journal= {arXiv preprint arXiv:1704.03644},
  year   = {2017}
}

Comments

20 pages, 7 figures

R2 v1 2026-06-22T19:15:19.684Z