Comment on ``Dynamical Foundations of Nonextensive Statistical Mechanics"
Alice M. Crawford, Nicolas Mordant, Andy M. Reynolds, Eberhard, Bodenschatz

TL;DR
This paper critiques Beck's proposed linear stochastic model for nonextensive statistical mechanics, presenting new experimental data that contradicts the model's predictions in fluid turbulence.
Contribution
It provides new experimental evidence challenging the validity of Beck's linear model in describing turbulence-related PDFs.
Findings
Beck's linear model does not match experimental turbulence data
New experiments show discrepancies with theoretical predictions
The results question the applicability of the proposed stochastic framework
Abstract
In a recent letter, Christian Beck described a theoretical link between a family of stochastic differential equations and the probability density functions (PDF) derived from the formalism of nonextensive statistical mechanics. He applied the theory to explain experimentally measured PDFs from fully developed fluid turbulence. Here we present new experimental results with better statistics which show that the linear model propose by C. Beck does not capture the experimental observations.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStatistical Mechanics and Entropy · Complex Systems and Time Series Analysis · Theoretical and Computational Physics
