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