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On Multifractality and Fractional Derivatives
Authors:U. Frisch  T. Matsumoto
Affiliation:(1) Observatoire de la Côte d'Azur, CNRS UMR 6529, BP 4229, 06304 Nice Cedex 4, France;(2) Department of Physics, Kyoto University, Kitashirakawa Oiwakecho Sakyo-ku, Kyoto, 606-8502, Japan
Abstract:It is shown phenomenologically that the fractional derivative xgr = Dagru of order agr of a multifractal function has a power-law tail prop
$$left| xi right|^{ - p_ star}$$
in its cumulative probability, for a suitable range of agr's. The exponent is determined by the condition 
$$zeta _{p_ star } = {alpha }p_ star$$
, where zetap is the exponent of the structure function of order p. A detailed study is made for the case of random multiplicative processes (Benzi et al., Physica D65:352 (1993)) which are amenable to both theory and numerical simulations. Large deviations theory provides a concrete criterion, which involves the departure from straightness of the zetap graph, for the presence of power-law tails when there is only a limited range over which the data possess scaling properties (e.g., because of the presence of a viscous cutoff). The method is also applied to wind tunnel data and financial data.
Keywords:Turbulence  multifractals  large deviations  finance
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