Universal Attractors of Reversible Aggregate-Reorganization Processes
Statistical Mechanics
2009-11-07 v2 Disordered Systems and Neural Networks
Abstract
We analyze a general class of reversible aggregate-reorganization processes. These processes are shown to exhibit globally attracting equilibrium distributions, which are \textit{universal}, i.e. identical for large classes of models. Furthermore, the analysis implies that for studies of equilibrium properties of \textit{any} such process, computationally expensive reorganization dynamics such as random walks can be replaced by more efficient, yet simpler methods. As a particular application, our results explain the recent observation of the formation of similar fractal aggregates from different initial structures by diffusive reorganization [Filoche and Sapoval, Phys. Rev. Lett. 85, 5118 (2000)].
Keywords
Cite
@article{arxiv.cond-mat/0111488,
title = {Universal Attractors of Reversible Aggregate-Reorganization Processes},
author = {Stefan Grosskinsky and Marc Timme and Bjoern Naundorf},
journal= {arXiv preprint arXiv:cond-mat/0111488},
year = {2009}
}
Comments
4 pages, 3 figures