Harmonious representation of PDFs reflecting large deviations

Toshihico Arimitsu and Naoko Arimitsu

Physica A: Statistical Mechanics and its Applications, 2004, vol. 340, issue 1, 347-355

Abstract: The framework of multifractal analysis (MFA) is distilled to the most sophisticated one. Within this transparent framework, it is shown that the harmonious representation of MFA utilizing two distinct Tsallis distribution functions, one for the tail part of probability density function (PDF) and the other for its center part, explains the recently observed PDFs of turbulence in the highest accuracy superior to the analyses based on other models such as the log-normal model and the p model.

Keywords: Multifractal analysis; Turbulence; Large wings; Fat tails; Probability distribution function (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:340:y:2004:i:1:p:347-355

DOI: 10.1016/j.physa.2004.04.026

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