Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2007-11-18
J. Stat. Mech. P04023 (2008)
Physics
Condensed Matter
Disordered Systems and Neural Networks
17 pages, 3 figures. Submitted to a focus issue of JSTAT on Disorder, Fluctuations and Universality dedicated to Thomas Natter
Scientific paper
10.1088/1742-5468/2008/04/P04023
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.
Katzav Eytan
Schwartz Moshe
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