English

Power-Law tailed statistical distributions and Lorentz transformations

Statistical Mechanics 2011-10-19 v1

Abstract

The present Letter, deals with the statistical theory [Phys. Rev. E {\bf 66}, 056125 (2002) and Phys. Rev E {\bf 72}, 036108 (2005)], which predicts the probability distribution p(E)expκ(I)p(E) \propto \exp_{\kappa} (-I), where, IβEβμI \propto \beta E -\beta \mu, is the collision invariant, and expκ(x)=(1+κ2x2+κx)1/κ\exp_{\kappa}(x)=(\sqrt{1+ \kappa^2 x^2}+\kappa x)^{1/\kappa}, with κ2<1\kappa^2<1. This, experimentally observed distribution, at low energies behaves as the Maxwell-Boltzmann exponential distribution, while at high energies presents power law tails. Here we show that the function expκ(x)\exp_{\kappa}(x) and its inverse lnκ(x)\ln_{\kappa}(x), can be obtained within the one-particle relativistic dynamics, in a very simple and transparent way, without invoking any extra principle or assumption, starting directly from the Lorentz transformations. The achievements support the idea that the power law tailed distributions are enforced by the Lorentz relativistic microscopic dynamics, like in the case of the exponential distribution which follows from the Newton classical microscopic dynamics.

Keywords

Cite

@article{arxiv.1110.3944,
  title  = {Power-Law tailed statistical distributions and Lorentz transformations},
  author = {G. Kaniadakis},
  journal= {arXiv preprint arXiv:1110.3944},
  year   = {2011}
}
R2 v1 2026-06-21T19:22:01.805Z