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  • Letter
  • Open Access

Minimal phase-coupling model for intermittency in turbulent systems

José-Agustín Arguedas-Leiva1, Enda Carroll2, Luca Biferale3, Michael Wilczek1,4,*, and Miguel D. Bustamante2

  • 1Max Planck Institute for Dynamics and Self-Organization, Am Faßberg 17, 37077 Göttingen, Germany
  • 2School of Mathematics and Statistics, University College Dublin, Belfield, Dublin 4, Ireland
  • 3Department Physics and Istituto Nazionale Fisica Nucleare (INFN), University of Rome Tor Vergata, Via Ricerca Scientifica 1, 00133 Rome, Italy
  • 4Theoretical Physics I, University of Bayreuth, Universitätsstraße 30, 95447 Bayreuth, Germany

  • *michael.wilczek@ds.mpg.de

Phys. Rev. Research 4, L032035 – Published 29 August, 2022

DOI: https://doi.org/10.1103/PhysRevResearch.4.L032035

Abstract

Turbulent systems exhibit a remarkable multiscale complexity, in which spatial structures induce scale-dependent statistics with strong departures from Gaussianity. In Fourier space, this is reflected by pronounced phase synchronization. A quantitative relation between real-space structure, statistics, and phase synchronization is currently missing. Here, we address this problem in the framework of a minimal deterministic phase-coupling model, which enables a detailed investigation by means of dynamical systems theory and multiscale high-resolution simulations. We identify the spectral power law steepness, which controls the phase coupling, as the control parameter for tuning the non-Gaussian properties of the system. Whereas both very steep and very shallow spectra exhibit close-to-Gaussian statistics, the strongest departures are observed for intermediate slopes comparable with the ones in hydrodynamic and Burgers turbulence. We show that the non-Gaussian regime of the model coincides with a collapse of the dynamical system to a lower-dimensional attractor and the emergence of phase synchronization, thereby establishing a dynamical-systems perspective on turbulent intermittency.

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