1994
DOI: 10.1209/0295-5075/26/7/009
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Log Normal Intermittency and Randomly Stirred Fluids

Abstract: Energy fluctuation is studied in the randomly forced fluid model of De Dominicis andMartin by mode-coupling and renormalization group methods. The universal log normal intermittency exponent is consequently calculated from first principles and found to be in agreement with the accepted value.

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Cited by 8 publications
(12 citation statements)
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“…According to the Kolmogorov's hypothesis for fluid turbulence [4], in the inertial range energy spectrum E(k) = K o ǫ 2/3 k −5/3 , where K o , a universal constant, is the Kolmogorov's constant and ǫ is the energy dissipation rate per unit mass. Various calculations, based on different techniques by different groups [7,30,31,32] show that K o ∼ 1.5 in three dimensions. Having noted that the energy spectra, even in the presence of a mean magnetic field scale as k −5/3 extensions of Kolmogorov's hypothesis for 3dMHD allows one to define Kolmogorov's constants for the Elsässer fields:…”
Section: Kolmogorov's Constantsmentioning
confidence: 99%
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“…According to the Kolmogorov's hypothesis for fluid turbulence [4], in the inertial range energy spectrum E(k) = K o ǫ 2/3 k −5/3 , where K o , a universal constant, is the Kolmogorov's constant and ǫ is the energy dissipation rate per unit mass. Various calculations, based on different techniques by different groups [7,30,31,32] show that K o ∼ 1.5 in three dimensions. Having noted that the energy spectra, even in the presence of a mean magnetic field scale as k −5/3 extensions of Kolmogorov's hypothesis for 3dMHD allows one to define Kolmogorov's constants for the Elsässer fields:…”
Section: Kolmogorov's Constantsmentioning
confidence: 99%
“…For small δ, δ ≃ 9δ. A standard calculation on the randomly stirred model yields intermittency exponent δ = 0.2 [32] where δ = 9δ, whereas the best possible estimate from experiments is 0.23 [32]. This model, despite having well-known limitations and difficulties [38], serves as a qualitative illustration of multiscaling.…”
Section: Possibilities Of Variable Multifractalitymentioning
confidence: 99%
“…Careful experiment revealed the existence of these fluctuations. The fluctuations occurred rarely -these were the rare events of turbulence [12][13][14][15][16][17][18][19]. These rare events constitute one of the most difficult issues to understand in the theory of turbulence.…”
Section: Introductionmentioning
confidence: 99%
“…This can be seen in static critical phenomena, critical dynamics, dynamics of interfacial growth, statistics of polymer chain and myriad other problems [3]. However, the Gaussian model fails to be a starting point while discussing intermittency in fluid turbulence [4,5,6,7,8,9,10,11,12,13,14,15,16]. In the large deviation theory, the central role is played by the distribution associated with tossing of a coin.…”
mentioning
confidence: 99%
“…This gets related to the exponential of the free energy difference ∆F between initial and final states leading to Jarzynski's equality. Defining w D ≡ w−∆F , the equality can also be cast in the form: e −wD = 1 (10) where w D is the dissipative work along a 'given' path and the fact that average is unity implies that there are paths for which w D < 0 -a case of transient violation of the second law of thermodynamics. These violations can be portrayed as the rare events, which are highlighted by Jarzynski equality.…”
mentioning
confidence: 99%