Ergodicity and Central Limit Theorem in Systems with Long-Range Interactions
Statistical Mechanics
2009-11-13 v1
Abstract
In this letter we discuss the validity of the ergodicity hypothesis in theories of violent relaxation in long-range interacting systems. We base our reasoning on the Hamiltonian Mean Field model and show that the life-time of quasi-stationary states resulting from the violent relaxation does not allow the system to reach a complete mixed state. We also discuss the applicability of a generalization of the central limit theorem. In this context, we show that no attractor exists in distribution space for the sum of velocities of a particle other than the Gaussian distribution. The long-range nature of the interaction leads in fact to a new instance of sluggish convergence to a Gaussian distribution.
Cite
@article{arxiv.0805.1568,
title = {Ergodicity and Central Limit Theorem in Systems with Long-Range Interactions},
author = {Annibal Figueiredo and Tarcisio Marciano da Rocha Filho and Marco Antonio Amato},
journal= {arXiv preprint arXiv:0805.1568},
year = {2009}
}
Comments
13 pages,6 figures