[Submitted on 23 Apr 2026] (cross-list from cond-mat.stat-mech)
Hyperstatistics
Lucas Squillante · Samuel M. Soares · Constantino Tsallis · Mariano de Souza
We propose a general approach, named by us hyperstatistics, to treat complex systems, in which Boltzmann-Gibbs statistics breaks down in domains of the system. Hyperstatistics preserves the concavity of nonadditive -entropy. We obtain analytical closed-form expressions for the here proposed -generalized Boltzmann factor considering uniform, , Log-normal, F, and the - probability distribution functions. Remarkably, for all investigated distribution functions, reduces to a -exponential-type function. To demonstrate the applicability of hyperstatistics, we use a table top experiment of the discharge of a capacitor considering -distributed relaxation times, the pressure decay over time associated with the pumping of He lines of a closed cycle cryostat, midrapidity data for -Pb collisions at the LHC, as well as data set for acceleration distribution in turbulent systems. Furthermore, we deduce the power-law-like dielectric response using the --distribution function. Our proposal is applicable to systems with inherent non-Boltzmann-Gibbsian statistics in domains of the system.
- Comments:
- 26 pages, 5 figures, 1 table. Supplementary material upon request
- Subjects:
- Statistical Mechanics (cond-mat.stat-mech); High Energy Physics — Experiment (hep-ex); High Energy Physics — Theory (hep-th); Nuclear Theory (nucl-th); Accelerator Physics (physics.acc-ph); Data Analysis, Statistics and Probability (physics.data-an); Instrumentation and Detectors (physics.ins-det)
- arXiv:
- 2604.24783 [pdf]