Nonlinear Sciences – Chaotic Dynamics
Scientific paper
1996-06-28
Nonlinear Sciences
Chaotic Dynamics
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.
Aurell Erik
Boffetta Guido
Crisanti Andrea
Paladin Giovanni
Vulpiani Angelo
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