English

The ideas behind the Self Consistent Expansion

Disordered Systems and Neural Networks 2008-04-21 v1 Soft Condensed Matter Statistical Mechanics

Abstract

In recent years we have witnessed a growing interest in various non-equilibrium systems described in terms of stochastic non-linear field theories. In some of those systems like the KPZ and related models, the interesting behavior is in the strong coupling regime, which is inaccessible by traditional perturbative treatments such as dynamical renormalization group (DRG). A useful tool in the study of such system is the Self Consistent Expansion (SCE), which might be said to generate its own "small parameter" .The self consistent expansion (SCE) has the advantage that its structure is just that of a regular expansion, the only difference is that the simple system around which the expansion is performed is adjustable. The purpose of the this article is to present the method in a simple and understandable way, that hopefully will make it accessible to a wider public working on non-equilibrium statistical physics.

Keywords

Cite

@article{arxiv.0711.2795,
  title  = {The ideas behind the Self Consistent Expansion},
  author = {Moshe Schwartz and Eytan Katzav},
  journal= {arXiv preprint arXiv:0711.2795},
  year   = {2008}
}

Comments

17 pages, 3 figures. Submitted to a focus issue of JSTAT on Disorder, Fluctuations and Universality dedicated to Thomas Nattermann

R2 v1 2026-06-21T09:44:34.816Z