Abstract
We give a survey of the use of the multifractal method, as a manifestation of the large deviation theory, to study the scaling behavior in fully developed turbulence. Particular emphasis is reserved to the phenomenon of intermittency, i.e., the most relevant manifestation of the break-down of mean field arguments in turbulence. To explain intermittency, the statistical role of fluctuations are explicitly accounted for by means of the multifractal formalism. Its application to the statistics of velocity gradients and acceleration will be discussed. A remark related to the use of large deviation theory in multifractal formalism will be emphasized. Also, the presentation of the famous Refined Similarity Hypothesis due to Kolmogorov and Obukhov in 1962 to account for the statistical role of fluctuations will be reviewed.
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References
G. Parisi, U. Frisch, in Turbulence and Predictability of Geophysical Fluid Dynamics, ed. by M. Ghil, R. Benzi, G. Parisi (Amsterdam, North-Holland, 1985), p. 84
R. Benzi, G. Paladin, G. Parisi, A. Vulpiani, J. Phys. A Math. Gen. 17, 3521 (1984)
U. Frisch, Turbulence: The Legacy of A.N. Kolmogorov (Cambridge University Press, Cambridge, 1995)
D. Harte, Multifractals: Theory and Applications (CRC, New York, 2001)
A.N. Kolmogorov, J. Fluid Mech. 13, 82 (1962)
E.A. Novikov, R.W. Stewart, Izv. Akad. Nauk SSSR Geofiz. 3, 408 (1964)
B.B. Mandelbrot, J. Fluid Mech. 62, 331 (1974)
P.K. Kundu, I.M. Cohen, D.R. Dowling, Fluid Mechanics (Academic, Waltham, 2012)
O.A. Ladyzhenskaya, The Mathematical Theory of Viscous Incompressible Flow (Gordon and Breach, New York, 1969)
J. Bricmont, A. Kupiainen, R. Lefevere, Commun. Math. Phys. 230, 87 (2002)
M. Hairer, J.C. Mattingly, Ann. Math. 164, 993 (2006)
T. Bohr, M.H. Jensen, G. Paladin, A. Vulpiani, Dynamical Systems Approach to Turbulence (Cambridge University Press, Cambridge, 1998)
A.N. Kolmogorov, Dokl. Akad. Nauk. SSSR, 30, 299 (1941); reprinted in A.N. Kolmogorov, Proc. R. Soc. Lond. A 434 9 (1991)
A. Monin, A. Yaglom, Statistical Fluid Dynamics (MIT, Cambridge, 1975)
L.F. Richardson, Weather Prediction by Numerical Processes (Cambridge University Press, Cambridge, 1922)
G.I. Taylor, Proc. R. Soc. Lond. A 151, 421 (1935)
F. Anselmet, Y. Gagne, E.J. Hopfinger, R.A. Antonia, J. Fluid Mech. 140, 63 (1984)
G. Paladin, A. Vulpiani, Phys. Rep. 156, 147 (1987)
G. Boffetta, A. Mazzino, A. Vulpiani, J. Phys. A Math. Theor. 41, 363001 (2008)
U. Frisch, M.M. Afonso, A. Mazzino, V. Yakhot, J. Fluid Mech. 542, 97 (2005)
C.M. Bender, S.A. Orszag, Advanced Mathematical Methods for Scientists and Engineers (Springer, New York, 1999)
C. Meneveau, K.R. Sreenivasan, Phys. Lett. A 137, 103 (1989)
W. van de Water, P. Schram, Phys. Rev. A 37, 3118 (1988)
U. Frisch, M. Vergassola, Europhys. Lett. 14, 439 (1991)
U. Frisch, Z.S. She, Fluid Dyn. Res. 8, 139 (1991)
B. Castaing, Y. Gagne, E.J. Hopfinger, Physica D 46, 177 (1990)
A. Vincent, M. Meneguzzi, J. Fluid Mech. 225, 1 (1991)
A. La Porta, G.A. Voth, A.M. Crawford, J. Alexander, E. Bodenschatz, Nature 409, 1017 (2001)
L. Biferale, G. Boffetta, A. Celani, B.J. Devenish, A. Lanotte, F. Toschi, Phys. Rev. Lett. 93, 064502 (2004)
Z.S. She, E. Lévêque, Phys. Rev. Lett. 72, 336 (1994)
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Boffetta, G., Mazzino, A. (2014). Large Deviations in Turbulence. In: Vulpiani, A., Cecconi, F., Cencini, M., Puglisi, A., Vergni, D. (eds) Large Deviations in Physics. Lecture Notes in Physics, vol 885. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54251-0_11
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DOI: https://doi.org/10.1007/978-3-642-54251-0_11
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