English

Nonperturbative functional renormalization group for random field models: the way out of dimensional reduction

Disordered Systems and Neural Networks 2009-11-10 v2

Abstract

We have developed a non-perturbative functional renormalization group approach for the random field O(N) model (RFO(N)M) that allows us to investigate the ordering transition in any dimension and for any value of N including the Ising case. We show that the failure of dimensional reduction and standard perturbation theory is due to the non-analytic nature of the zero-temperature fixed point controlling the critical behavior, non-analycity which is associated with the existence of many metastable states. We find that this non-analycity leads to critical exponents differing from the dimensional reduction prediction only below a critical dimension d\_c(N)<6, with d\_c(N=1)>3.

Keywords

Cite

@article{arxiv.cond-mat/0410118,
  title  = {Nonperturbative functional renormalization group for random field models: the way out of dimensional reduction},
  author = {Gilles Tarjus and Matthieu Tissier},
  journal= {arXiv preprint arXiv:cond-mat/0410118},
  year   = {2009}
}

Comments

4 pages, 2 figures, Revtex4, minor corrections