Information production in homogeneous isotropic turbulence

Arjun Berera, Daniel Clark

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

We study the Reynolds number scaling of the Kolmogorov-Sinai entropy and attractor dimension for three dimensional homogeneous isotropic turbulence through the use of direct numerical simulation. To do so, we obtain Lyapunov spectra for a range of different Reynolds numbers by following the divergence of a large number of orthogonal fluid trajectories. We find that the attractor dimension grows with the Reynolds number as Re$^{2.35}$ with this exponent being larger than predicted by either dimensional arguments or intermittency models. The distribution of Lyapunov exponents is found to be finite around $\lambda \approx 0$ contrary to a possible divergence suggested by Ruelle. The relevance of the Kolmogorov-Sinai entropy and Lyapunov spectra in comparing complex physical systems is discussed.
Original languageEnglish
Number of pages5
JournalPhysical Review E
Issue number4
Publication statusPublished - 14 Oct 2019

Keywords / Materials (for Non-textual outputs)

  • physics.flu-dyn
  • hep-th
  • nlin.CD


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