Predictability in the large: an extension of the concept of Lyapunov exponent

Nonlinear Sciences – Chaotic Dynamics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

4 pages, 2 Postscript figures (included), RevTeX 3.0, files packed with uufiles

Scientific paper

10.1088/0305-4470/30/1/003

We investigate the predictability problem in dynamical systems with many degrees of freedom and a wide spectrum of temporal scales. In particular, we study the case of $3D$ turbulence at high Reynolds numbers by introducing a finite-size Lyapunov exponent which measures the growth rate of finite-size perturbations. For sufficiently small perturbations this quantity coincides with the usual Lyapunov exponent. When the perturbation is still small compared to large-scale fluctuations, but large compared to fluctuations at the smallest dynamically active scales, the finite-size Lyapunov exponent is inversely proportional to the square of the perturbation size. Our results are supported by numerical experiments on shell models. We find that intermittency corrections do not change the scaling law of predictability. We also discuss the relation between finite-size Lyapunov exponent and information entropy.

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

Predictability in the large: an extension of the concept of Lyapunov exponent 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 Predictability in the large: an extension of the concept of Lyapunov exponent, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Predictability in the large: an extension of the concept of Lyapunov exponent will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-150077

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