Abstract
The main dispute about the origins and nature of turbulence involves a number of aspects and issues in the frame of the dichotomy of deterministic versus random. In science this dispute covers an enormous spectrum of themes such as philosophy of science, mathematics, physics and the other natural sciences. Fortunately, we do not have to venture into this ocean of debate and opposing and intermediate opinions. This is mainly because (as it now stands) turbulence is described by the NSE which are purely deterministic equations with extremely complex behavior enforcing use of statistical methods, but this does not mean that the nature of such systems is statistical in any/some sense as frequently claimed. The bottom line is that turbulence is only apparently random: the apparently random behavior of turbulence is a manifestation of properties of a purely deterministic law of nature in our case adequately described by NSE. An important point is that this complex behavior does not make this law either probabilistic or indeterminate.
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Notes
- 1.
Quantum mechanics is certainly imposing. But an inner voice tells me that it is not yet the real thing. The theory says a lot, but does not really bring us any closer to the secret of the ”old one.” I, at any rate, am convinced that He does not throw dice (Einstein 1926).
Not only does God definitely play dice, but He sometimes confuses us by throwing them where they can’t be seen (Hawking and Penrose 1996).
Today “chaotic” and “deterministic” are not considered as counterparts of a false dichotomy. This takes its origin to Poincare (1952), H. Poincare, Science and hypothesis, pp. xxiii–iv, Dover, 1952.
- 2.
However, we repeat that since Leray (1934) until recently one was not sure about the theoretical, but not observational, possibility that turbulence is a manifestation of breakdown of the Navier–Stokes equations. Also note the statement by Ladyzhenskaya (1969): ... it is hardly possible to explain the transition from laminar to turbulent flows within the framework of the classical Navier-Stokes theory.
- 3.
The en masse comes from the analogy with statistical physics. But there one has literally many similar objects - molecules. So one realization there may well suffice either, see below.
- 4.
The basic question (which usually is not asked) concerning statistical description is whether such complex behavior permits a closed representation that is simple enough to be tractable and insightful but powerful enough to be faithful to the essential dynamics. Kraichnan and Chen (1989).
The problem is that in such an approach the rotational and dissipative aspects are not considered as belonging to the essential dynamics.
- 5.
- 6.
We mention that formally there exist two closed formulations which in reality are suspect to be just a formal restatement of the Navier Stokes equations, at least, as concerns the results obtained to date. One is due to Keller and Fridman (1925) infinite chain of equations for the moments and the equivalent to this chain the equation by Hopf (1952) in term’s of functional integrals.
References
Arnold VI (1991) Kolmogorov’s hydrodynamics attractors. Proc R Soc Lond A 434:19–22
Biferale L, Lanotte AS, Federico Toschi F (2004) Effects of forcing in three-dimensional turbulent flows. Phys Rev Lett 92:094503
Bonnet JP (ed) (1996) Eddy structure identification. Springer, Berlin
Borel E (1909) Sur les probabilites denombrables et leurs applications arithmetiques. Rend Circ Mat Palermo 41:247–271
Bradshaw P (1994) Turbulence: the chief outstanding difficulty of our subject. Exp Fluids 16:203–216
Cimarelli A, De Angelis E, Jimenez J, Casciola CM (2016) Cascades and wall-normal fluxes in turbulent channel flows. J Fluid Mech 796:417–436
Davidson PA (2004) Turbulence. Oxford University Press, Oxford
Einstein A (1926) Letter to Max Born (4 December 1926); the Born-Einstein letters (translated by Irene Born). Walker and Company, New York. ISBN 0-8027-0326
Elsinga GE, Marusic I (2010) Universal aspects of small-scale motions in turbulence. J Fluid Mech 662:514–539
Frenkiel FN, Klebanoff PS, Huang TT (1979) Grid turbulence in air and water. Phys Fluids 22:1606–1617
Foiaş C, Manley O, Rosa R, Temam R (2001) Navier–Stokes equations and turbulence. Cambridge University Press, Cambridge
Galanti B, Tsinober A (2006) Physical space helicity properties in quasi-homogeneous forced turbulence. Phys Lett A 352:141–149
Gkioulekas E (2007) On the elimination of the sweeping interactions from theories of hydrodynamic turbulence. Phys. D 226:151–172
Goto T, Kraichnan RH (2004) Turbulence and Tsallis statistics. Phys. D 193:231–244
Guckenheimer J (1986) Strange attractors in fluids: another view. Annu Rev Fluid Mech 18:15–31
Gulitskii G, Kholmyansky M, Kinzlebach W, Lüthi B, Tsinober A, Yorish S (2007a) Velocity and temperature derivatives in high Reynolds number turbulent flows in the atmospheric surface layer. Facilities, methods and some general results. J Fluid Mech 589:57–81
Gulitskii G, Kholmyansky M, Kinzlebach W, Lüthi B, Tsinober A, Yorish S (2007b) Velocity and temperature derivatives in high Reynolds number turbulent flows in the atmospheric surface layer. Part 2. Accelerations and related matters. J Fluid Mech 589:83–102
Gulitskii G, Kholmyansky M, Kinzlebach W, Lüthi B, Tsinober A, Yorish S (2007c) Velocity and temperature derivatives in high Reynolds number turbulent flows in the atmospheric surface layer. Part 3. Temperature and joint statistics of temperature and velocity derivatives. J Fluid Mech 589:103–123
Hawking S, Penrose R (1996) The nature and time. Princeton University Press, Princeton, p 26
Holmes PJ, Berkooz G, Lumley JL (1996) Turbulence, coherent structures, dynamical systems and symmetry. Cambridge University Press, Cambridge
Hopf E (1952) Statistical hydromechanics and functional calculus. J Ration Mech Anal 1:87–123
Hoyle F (1957) The black cloud. Harper, New York
Jimenez J (2018) Coherent structures in wall-bounded turbulence. J Fluid Mech 842: P1–P100
Keefe L (1990) In: Lumley JL (ed) Whither turbulence?. Springer, Berlin, p 189
Keller L, Friedmann A (1925) Differentialgleichung für die turbulente Bewegung einer kompressiblen Flüssigkeit. In: Biezeno CB, Burgers JM (eds) Proceedings of the first international congress on applied mechanics. Waltman, Delft, pp 395–405
Kolmogorov AN (1933) Grundbegriffe derWahrscheinlichkeitsrechnung. Springer, Berlin. English translation: Kolmogorov AN (1956) Foundations of the theory of probability, Chelsea
Kolmogorov AN (1941b) Dissipation of energy in locally isotropic turbulence. Dokl Akad Nauk SSSR 32:19–21. For English translation see Tikhomirov VM (ed) (1991) Selected works of AN Kolmogorov, vol I. Kluwer, pp 324–327
Kolmogorov AN (1956) The theory of probability. In: Aleksandrov AD et al (eds) Mathematics, its content, methods and meaning. AN SSSR, Moscow. English translation: Am Math Soc, pp 229–264 (1963)
Kolmogorov AN (1985) Notes preceding the papers on turbulence in the first volume of his selected papers, vol I. Kluwer, Dordrecht, pp 487–488. English translation: Tikhomirov VM (ed) (1991) Selected works of AN Kolmogorov
Kraichnan RH (1959) The structure of isotropic turbulence at very high Reynolds numbers. J Fluid Mech 5:497–543
Kraichnan RH (1964) Kolmogorov’s hypotheses and Eulerian turbulence theory. Phys Fluids 7:1723–1734
Kraichnan RH, Chen S (1989) Is there a statistical mechanics of turbulence? Phys. D 37:160–172
Ladyzhenskaya OA (1969) Mathematical problems of the dynamics of viscous incompressible fluids. Gordon and Breach, New York
Landau LD, Lifshits EM (1959) Fluid mechanics. Pergamon, New York
Landau LD, Lifshits EM (1987) Fluid mechanics. Pergamon, New York
Laplace PS (1951) A philosophical essay on probabilities. Dover, New York. Translated by Truscott FW, Emory FL (Essai philosophique sur les probabilit és. Rééd., Bourgeois, Paris, 1986. Texte de la 5éme éd., 1825)
Leray J (1934) Essai sur le mouvement d’un fluide visqueux emplissant l’espace. Acta Math 63:193–248
Leonov VP, Shiryaev AN (1960) Some problems in the spectral theory of higher order moments II. Theory Probab Appl 5:417–421
Lorenz EN (1972) Investigating the predictability of turbulent motion. In: Rosenblatt M, van Atta CC (eds) Statistical models and turbulence. Lecture notes in physics, vol 12, pp 195–204
Loskutov A (2010) Fascination of chaos. Phys Usp 53(12):1257–1280
Lumley JL (1970) Stochastic tools in turbulence. Academic, New York
Lumley JL (1972) Application of central limit theorems to turbulence problems. In: Rosenblatt M, van Atta C (eds) Statistical models and turbulence. Lecture notes in physics, vol 12. Springer, Berlin, pp 1–26
Lumley JL (1981) Coherent structures in turbulence. In: Meyer R (ed) Transition and turbulence0. Academic Press, New York, pp 215–242
Lumley JL (1990) Future directions in turbulence research and the role of organized motion. In: Lumley JL (ed) Whither turbulence?. Springer, Berlin, pp 97–131
Lüthi B, Tsinober A, Kinzelbach W (2005) Lagrangian measurement of vorticity dynamics in turbulent flow. J Fluid Mech 528:87–118
Mollo-Christensen E (1973) Intermittency in large-scale turbulent flows. Annu Rev Fluid Mech 5:101–118
Monin AS, Yaglom AM (1971) Statistical fluid mechanics, vol 1. MIT Press, Cambridge
Orszag SA (1977) Lectures on the statistical theory of turbulence. In: Balian R, Peube J-L (eds) Fluid dynamics. Gordon and Breach, New York, pp 235–374
Orszag SA, Staroselsky I, Yakhot V (1993) Some basic challenges for large eddy simulation research. In: Orszag SA, Galperin B (eds) Large eddy simulation of complex engineering and geophysical flows. Cambridge University Press, Cambridge, pp 55–78
Palmer TN, Hardaker PJ (2011) Introduction: handling uncertainty in science. Philos Trans R Soc Lond A 369:4681–4684
Poincare H (1952) Science and hypothesis. Dover, pp xxiii–xxiv
Ornstein S, Weiss B (1991) Statistical properties of chaotic systems. Bull Am Math Soc 24:11–116
Portela AF, Papadakis G, Vassilicos JC (2017) The turbulence cascade in the near wake of a square prism. J Fluid Mech 825:315–352
Ruelle D (1979) Microscopic fluctuations and turbulence. Phys Lett 72A(2):81–82
Tennekes H (1975) Eulerian and Lagrangian time microscales in isotropic turbulence. J Fluid Mech 67:561–567
Tritton DJ (1988) Physical fluid dynamics, 2nd edn. Clarendon, Oxford
Tsinober A (2001) An informal introduction to turbulence. Kluwer, Dordrecht
Tsinober A, Vedula P, Yeung PK (2001) Random Taylor hypothesis and the behaviour of local and convective accelerations in isotropic turbulence. Phys Fluids 13:1974–1984
Tsinober A (2009) An informal conceptual introduction to turbulence. Springer, Berlin
Vishik MJ, Fursikov AV (1988) Mathematical problems of statistical hydromechanics. Kluwer, Dordrecht
von Karman Th, Howarth L (1938) On the statistical theory of isotropic turbulence. Proc R Soc Lond Ser A, Math Phys Sci 164:192–215
von Neumann J (1949) Recent theories of turbulence. In: Taub AH (ed) A report to the office of naval research. Collected works, vol 6. Pergamon, New York, pp 437–472
Waleffe F (1992) The nature of triad interactions in homogeneous turbulence. Phys Fluids A 4:350–363
Wei L, Elsinga GE, Brethouwer G, Schlatter P, Johansson AV (2014) Universality and scaling phenomenology of small-scale turbulence in wall-bounded flows. Phys Fluids 26: 035107/1–12
Wiener N (1938) Homogeneous chaos. Am J Math 60:897–936
Yasuda and Vassilicos (2018) Spatio-temporal intermittency of the turbulent energy cascade. J Fluid Mech:853: 235–252
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Tsinober, A. (2019). Nature of Turbulence. In: The Essence of Turbulence as a Physical Phenomenon. Springer, Cham. https://doi.org/10.1007/978-3-319-99531-1_5
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