Ergodicity and Central Limit Theorem in Systems with Long-Range Interactions
arXiv:0805.1568 · doi:10.1209/0295-5075/83/30011
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.
13 pages,6 figures
References in corpus (8)
- Central limit behavior of deterministic dynamical systems
- Numerical indications of a q-generalised central limit theorem
- A note on q-Gaussians and non-Gaussians in statistical mechanics
- Hamiltonian and Brownian systems with long-range interactions: IV. General kinetic equations from the quasilinear theory
- Nonextensive statistical mechanics and central limit theorems I - Convolution of independent random variables and q-product
- On the non-Boltzmannian nature of quasi-stationary states in long-range interacting systems
- Non-Gaussian distributions under scrutiny
- Nonextensive statistical mechanics and central limit theorems II - Convolution of q-independent random variables