Power-Law tailed statistical distributions and Lorentz transformations

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

10.1016/j.physleta.2010.11.057

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 $p(E) \propto \exp_{\kappa} (-I)$, where, $I \propto \beta E -\beta \mu$, is the collision invariant, and $\exp_{\kappa}(x)=(\sqrt{1+ \kappa^2 x^2}+\kappa x)^{1/\kappa}$, with $\kappa^2<1$. 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 $\exp_{\kappa}(x)$ and its inverse $\ln_{\kappa}(x)$, 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.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Power-Law tailed statistical distributions and Lorentz transformations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Power-Law tailed statistical distributions and Lorentz transformations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Power-Law tailed statistical distributions and Lorentz transformations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-290680

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.