Universal renormalization-group dynamics at the onset of chaos in logistic maps and nonextensive statistical mechanics

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Revtex, 3 figures. Updated references and some general presentation improvements. To appear published as a Rapid communication

Scientific paper

10.1103/PhysRevE.66.045104

We uncover the dynamics at the chaos threshold $\mu_{\infty}$ of the logistic map and find it consists of trajectories made of intertwined power laws that reproduce the entire period-doubling cascade that occurs for $\mu <\mu_{\infty}$. We corroborate this structure analytically via the Feigenbaum renormalization group (RG) transformation and find that the sensitivity to initial conditions has precisely the form of a $q$-exponential, of which we determine the $q$-index and the $q$-generalized Lyapunov coefficient $\lambda _{q}$. Our results are an unequivocal validation of the applicability of the non-extensive generalization of Boltzmann-Gibbs (BG) statistical mechanics to critical points of nonlinear maps.

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

Universal renormalization-group dynamics at the onset of chaos in logistic maps and nonextensive statistical mechanics 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 Universal renormalization-group dynamics at the onset of chaos in logistic maps and nonextensive statistical mechanics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Universal renormalization-group dynamics at the onset of chaos in logistic maps and nonextensive statistical mechanics will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-653129

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