Tsallis distributions, their relaxations and the relation $\Delta t \cdot \Delta E \simeq h$, in the dynamical fluctuations of a classical model of a crystal
Andrea Carati, Luigi Galgani, Fabrizio Gangemi, Roberto, Gangemi

TL;DR
This study numerically investigates a classical ionic crystal model with long-range interactions, revealing that energy fluctuations follow Tsallis distributions and exhibit a relation reminiscent of quantum uncertainty, linking classical chaos to quantum-like behavior.
Contribution
It demonstrates that classical dynamical fluctuations in a crystal model can produce Tsallis distributions and a Planck-like relation, suggesting a connection between classical chaos and quantum phenomena.
Findings
Energy fluctuations follow Tsallis distributions.
Relaxation times depend on specific energy and relate to Planck's constant.
A threshold energy relates to zero-point energy and quantum-like behavior.
Abstract
We report the results of a numerical investigation, performed in the frame of dynamical systems' theory, for a realistic model of a ionic crystal for which, due to the presence of long--range Coulomb interactions, the Gibbs distribution is not well defined. Taking initial data with a Maxwell-Boltzmann distribution for the mode-energies , we study the dynamical fluctuations, computing the moduli of the the energy-changes . The main result is that they follow Tsallis distributions, which relax to distributions close to Maxwell-Boltzmann ones; indications are also given that the system remains correlated. The relaxation time depends on specific energy , and for the curve vs, one has two results. First, there exists an energy threshold , above which the curve has the form …
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 · Advanced Thermodynamics and Statistical Mechanics
