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By tracking the divergence of two initially close trajectories in phase space in an Eulerian approach to forced turbulence, the relation between the maximal Lyapunov exponent $\lambda$, and the Reynolds number $Re$ is measured using direct…

流体动力学 · 物理学 2018-01-31 A. Berera , R. D. J. G. Ho

Lyapunov exponents measure the average exponential growth rate of typical linear perturbations in a chaotic system, and the inverse of the largest exponent is a measure of the time horizon over which the evolution of the system can be…

流体动力学 · 物理学 2017-11-22 Prakash Mohan , Nicholas Fitzsimmons , Robert D. Moser

Turbulent flows are strongly chaotic and unpredictable, with a Lyapunov exponent that increases with the Reynolds number. Here, we study the chaoticity of the Surface Quasi-geostrophic system, a two-dimensional model for geophysical flows…

流体动力学 · 物理学 2025-07-28 V. J. Valadão , F. De Lillo , S. Musacchio , G. Boffetta

Using direct numerical simulation we study the behavior of the maximal Lyapunov exponent in thin-layer turbulence, where one dimension of the system is constrained geometrically. Such systems are known to exhibit transitions from fully…

流体动力学 · 物理学 2021-06-02 Daniel Clark , Andres Armua , Calum Freeman , Daniel J. Brener , Arjun Berera

We investigate uncertainty growth and chaotic dynamics in statistically steady, stably stratified three-dimensional turbulence. Using direct numerical simulations of the Boussinesq equations, we quantify the divergence of initially…

流体动力学 · 物理学 2025-12-08 Mrinal Jyoti Powdel , Samriddhi Sankar Ray

Lyapunov exponents of heavy particles and tracers advected by homogeneous and isotropic turbulent flows are investigated by means of direct numerical simulations. For large values of the Stokes number, the main effect of inertia is to…

混沌动力学 · 物理学 2009-11-11 Jeremie Bec , Luca Biferale , Guido Boffetta , Massimo Cencini , Stefano Musacchio , Federico Toschi

The Navier-Stokes equations generate an infinite set of generalized Lyapunov exponents defined by different ways of measuring the distance between exponentially diverging perturbed and unperturbed solutions. This set is demonstrated to be…

流体动力学 · 物理学 2021-04-14 Itzhak Fouxon , Joshua Feinberg , Petri Käpylä , Michael Mond

In chaotic dynamical systems, an infinitesimal perturbation is exponentially amplified at a time-rate given by the inverse of the maximum Lyapunov exponent $\lambda$. In fully developed turbulence, $\lambda$ grows as a power of the Reynolds…

chao-dyn · 物理学 2016-08-31 E. Aurell , G. Boffetta , A. Crisanti , G. Paladin , A. Vulpiani

We study the chaotic properties of a turbulent conducting fluid using direct numerical simulation in the Eulerian frame. The maximal Lyapunov exponent is measured for simulations with varying Reynolds number and magnetic Prandtl number. We…

流体动力学 · 物理学 2019-05-22 Richard Ho , Arjun Berera , Daniel Clark

The predictability problem in the inverse energy cascade of two-dimensional turbulence is addressed by means of direct numerical simulations. The growth rate as a function of the error level is determined by means of a finite size extension…

混沌动力学 · 物理学 2009-10-31 G. Boffetta , S. Musacchio

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…

chao-dyn · 物理学 2009-10-28 E. Aurell , G. Boffetta , A. Crisanti , G. Paladin , A. Vulpiani

We perform direct numerical simulation of the incompressible Navier-Stokes equation with forcing at different spatial dimensions and measure turbulent and chaotic properties. Lyapunov exponents, $\lambda$, decrease with dimension, and…

流体动力学 · 物理学 2025-12-02 Richard D. J. G. Ho , Daniel Clark , Andres Armua , Xichao Yang , Daniel J. Brener , Arjun Berera

In order to better understand deviations from equilibrium in turbulent flows, it is meaningful to characterize the dynamics rather than the statistics of turbulence. To this end, the Lyapunov theory provides a useful description of…

流体动力学 · 物理学 2019-10-28 Malik Hassanaly , Venkat Raman

In the context of the analysis of the chaotic properties of homogeneous and isotropic turbulence, direct numerical simulations are used to study the fluctuations of the finite time Lyapunov exponent (FTLE) and its relation to Reynolds…

流体动力学 · 物理学 2020-02-19 Richard Ho , Andres Armua , Arjun Berera

We study Lyapunov exponents of tracers in compressible homogeneous isotropic turbulence at different turbulent Mach number $M_t$ and Taylor-scale Reynolds number $Re_\lambda$. We demonstrate that statistics of finite-time Lyapunov exponents…

流体动力学 · 物理学 2023-12-04 Haijun Yu , Itzhak Fouxon , Jianchun Wang , Xiangru Li , Li Yuan , Shipeng Mao , Michael Mond

We discuss the effects of finite perturbations in fully developed turbulence by introducing a measure of the chaoticity degree associated to a given scale of the velocity field. This allows one to determine the predictability time for…

chao-dyn · 物理学 2009-10-28 E. Aurell , G. Boffetta , A. Crisanti , G. Paladin , A. Vulpiani

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…

流体动力学 · 物理学 2019-10-23 Arjun Berera , Daniel Clark

The present work analyzes the statistics of finite scale local Lyapunov exponents of pairs of fluid particles trajectories in fully developed incompressible homogeneous isotropic turbulence. According to the hypothesis of fully developed…

流体动力学 · 物理学 2018-06-12 Nicola de Divitiis

The predictability problem in the inverse energy cascade of two-dimensional turbulence is addressed by means of high resolution direct numerical simulations. The analysis is done in terms of the finite size Lyapunov exponent (FSLE) which is…

混沌动力学 · 物理学 2007-05-23 G. Boffetta , S. Musacchio

By performing a large number of fully resolved simulations of incompressible homogeneous and isotropic two dimensional turbulence, we study the scaling behavior of the maximal Lyapunov exponent, the Kolmogorov-Sinai entropy and attractor…

流体动力学 · 物理学 2020-07-01 Daniel Clark , Lukas Tarra , Arjun Berera
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