Probing small-scale intermittency with a fluctuation theorem.

We characterize statistical properties of the flow field in developed turbulence using concepts from stochastic thermodynamics. On the basis of data from a free air-jet experiment, we demonstrate how the dynamic fluctuations induced by small-scale intermittency generate analogs of entropy-consuming trajectories with sufficient weight to make fluctuation theorems observable at the macroscopic scale. We propose an integral fluctuation theorem for the entropy production associated with the stochastic evolution of velocity increments along the eddy hierarchy and demonstrate its extreme sensitivity to the accurate description of the tails of the velocity distributions.

[1]  J. Peinke,et al.  Turbulent character of wind energy. , 2013, Physical review letters.

[2]  Christopher Jarzynski,et al.  Work and information processing in a solvable model of Maxwell’s demon , 2012, Proceedings of the National Academy of Sciences.

[3]  U. Seifert Stochastic thermodynamics, fluctuation theorems and molecular machines , 2012, Reports on progress in physics. Physical Society.

[4]  U. Seifert,et al.  Role of hidden slow degrees of freedom in the fluctuation theorem. , 2012, Physical review letters.

[5]  C. Van den Broeck,et al.  Efficiency of isothermal molecular machines at maximum power. , 2012, Physical review letters.

[6]  D. Kleinhans Estimation of drift and diffusion functions from time series data: a maximum likelihood framework. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[7]  Muhammad Sahimi,et al.  Approaching complexity by stochastic methods: From biological systems to turbulence , 2011 .

[8]  F. Ritort,et al.  Improving free-energy estimates from unidirectional work measurements: theory and experiment. , 2011, Physical review letters.

[9]  C. Jarzynski Single-molecule experiments: Out of equilibrium , 2011 .

[10]  A. Naert Experimental study of work exchange with a granular gas: The viewpoint of the Fluctuation Theorem , 2011, 1107.5286.

[11]  Rudolf Friedrich,et al.  Estimation of Kramers-Moyal coefficients at low sampling rates. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[12]  C. Jarzynski Equalities and Inequalities: Irreversibility and the Second Law of Thermodynamics at the Nanoscale , 2011 .

[13]  U. Seifert Efficiency of autonomous soft nanomachines at maximum power. , 2010, Physical review letters.

[14]  Takahiro Sagawa,et al.  Experimental demonstration of information-to-energy conversion and validation of the generalized Jarzynski equality , 2010, 1009.5287.

[15]  Artem Petrosyan,et al.  Fluctuations in out-of-equilibrium systems: from theory to experiment , 2010, 1009.3362.

[16]  Christophe Chipot,et al.  Good practices in free-energy calculations. , 2010, The journal of physical chemistry. B.

[17]  H. Hayakawa,et al.  Generalized Green-Kubo relation and integral fluctuation theorem for driven dissipative systems without microscopic time reversibility. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[18]  Massimiliano Esposito,et al.  Three detailed fluctuation theorems. , 2009, Physical review letters.

[19]  F. Ritort,et al.  Recovery of free energy branches in single molecule experiments. , 2009, Physical review letters.

[20]  S. Fauve,et al.  Fluctuations of energy flux in wave turbulence. , 2008, Physical review letters.

[21]  W. Goldburg,et al.  Test of the Fluctuation Relation in Lagrangian Turbulence on a Free Surface , 2006, nlin/0607037.

[22]  C. Jarzynski,et al.  Verification of the Crooks fluctuation theorem and recovery of RNA folding free energies , 2005, Nature.

[23]  X-D Shang,et al.  Test of steady-state fluctuation theorem in turbulent Rayleigh-Bénard convection. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[24]  C. Maes,et al.  Enstrophy dissipation in two-dimensional turbulence. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[25]  U. Seifert Entropy production along a stochastic trajectory and an integral fluctuation theorem. , 2005, Physical review letters.

[26]  J. Peinke,et al.  Small and large scale fluctuations in atmospheric wind speeds , 2004, nlin/0408005.

[27]  T. Gilbert Entropy fluctuations in shell models of turbulence , 2004 .

[28]  J. Jiménez Turbulent flows over rough walls , 2004 .

[29]  S. Ciliberto,et al.  Experimental test of the Gallavotti–Cohen fluctuation theorem in turbulent flows , 2003, nlin/0311037.

[30]  V. Yakhot Pressure–velocity correlations and scaling exponents in turbulence , 2003, Journal of Fluid Mechanics.

[31]  N. Menon,et al.  Fluidized granular medium as an instance of the fluctuation theorem. , 2003, Physical review letters.

[32]  A. Arnfield Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island , 2003 .

[33]  G. Gallavotti,et al.  Lyapunov spectra and nonequilibrium ensembles equivalence in 2D fluid mechanics , 2002, nlin/0209039.

[34]  Debra J Searles,et al.  Experimental demonstration of violations of the second law of thermodynamics for small systems and short time scales. , 2002, Physical review letters.

[35]  I. Hosokawa Markov process built in scale-similar multifractal energy cascades in turbulence. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[36]  Joachim Peinke,et al.  Experimental indications for Markov properties of small-scale turbulence , 2001, Journal of Fluid Mechanics.

[37]  S. Fauve,et al.  Power injected in dissipative systems and the fluctuation theorem , 2001 .

[38]  I. Procaccia,et al.  Analytic calculation of the anomalous exponents in turbulence: using the fusion rules to flush out a small parameter , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[39]  Pierre-Olivier Amblard,et al.  On the cascade in fully developed turbulence. The propagator approach versus the Markovian description , 1999 .

[40]  M. R. Rahimi Tabar,et al.  Theoretical Model for the Kramers-Moyal Description of Turbulence Cascades , 1999, cond-mat/9907063.

[41]  P. Marcq,et al.  A Langevin equation for the energy cascade in fully developed turbulence , 1998, chao-dyn/9808021.

[42]  V. Yakhot PROBABILITY DENSITY AND SCALING EXPONENTS OF THE MOMENTS OF LONGITUDINAL VELOCITY DIFFERENCE IN STRONG TURBULENCE , 1997, chao-dyn/9708016.

[43]  J. Peinke,et al.  Description of a Turbulent Cascade by a Fokker-Planck Equation , 1997 .

[44]  C. Jarzynski Nonequilibrium Equality for Free Energy Differences , 1996, cond-mat/9610209.

[45]  Cohen,et al.  Dynamical Ensembles in Nonequilibrium Statistical Mechanics. , 1994, Physical review letters.

[46]  She,et al.  Universal scaling laws in fully developed turbulence. , 1994, Physical review letters.

[47]  Evans,et al.  Probability of second law violations in shearing steady states. , 1993, Physical review letters.

[48]  A. Kolmogorov,et al.  The local structure of turbulence in incompressible viscous fluid for very large Reynolds numbers , 1991, Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences.

[49]  Y. Gagne,et al.  Velocity probability density functions of high Reynolds number turbulence , 1990 .

[50]  J. Elgin The Fokker-Planck Equation: Methods of Solution and Applications , 1984 .

[51]  F. Anselmet,et al.  High-order velocity structure functions in turbulent shear flows , 1984, Journal of Fluid Mechanics.

[52]  A. M. Oboukhov Some specific features of atmospheric tubulence , 1962, Journal of Fluid Mechanics.

[53]  A. Kolmogorov A refinement of previous hypotheses concerning the local structure of turbulence in a viscous incompressible fluid at high Reynolds number , 1962, Journal of Fluid Mechanics.

[54]  Lewis F. Richardson,et al.  Weather Prediction by Numerical Process , 1922 .

[55]  R. A. Antonia,et al.  THE PHENOMENOLOGY OF SMALL-SCALE TURBULENCE , 1997 .

[56]  A. N. Kolmogorov Equations of turbulent motion in an incompressible fluid , 1941 .