Extreme deviations and applications
U. Frisch, D. Sornette

TL;DR
This paper develops a theory of extreme deviations for sums of independent variables with stretched exponential distributions, and applies it to fragmentation, turbulence, and glass relaxation phenomena.
Contribution
It introduces a new extreme deviation theory for sums with stretched exponential tails and demonstrates its applications across various physical systems.
Findings
Tail behavior of sums is dominated by individual variables near the mean.
Fragment size distribution combines log-normal and power-law behaviors.
The theory explains anomalous relaxation in glasses and velocity increment distributions in turbulence.
Abstract
Stretched exponential probability density functions (pdf), having the form of the exponential of minus a fractional power of the argument, are commonly found in turbulence and other areas. They can arise because of an underlying random multiplicative process. For this, a theory of extreme deviations is developed, devoted to the far tail of the pdf of the sum of a finite number of independent random variables with a common pdf . The function is chosen (i) such that the pdf is normalized and (ii) with a strong convexity condition that and that for . Additional technical conditions ensure the control of the variations of . The tail behavior of the sum comes then mostly from individual variables in the sum all close to and the tail of the pdf is . This theory is then applied to…
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