English

Description using equilibrium temperature in the canonical ensemble within the framework of the Tsallis statistics employing the conventional expectation value

Statistical Mechanics 2025-12-16 v3

Abstract

We studied the thermodynamic quantities and the probability distribution, expressing the probability distribution as a function of the energy, in the canonical ensemble within the framework of the Tsallis statistics, which is characterized by the entropic parameter qq, employing the conventional expectation value (the linear average). We treated the power-law-like distribution. The equilibrium temperature, which is often called the physical temperature, was employed, and the probability distribution described with the equilibrium temperature was derived. The Tsallis statistics represented by the equilibrium temperature was applied to NN harmonic oscillators, where NN is the number of the oscillators. The expressions of the energy, the Tsallis entropy, and the heat capacity were obtained. The expressions of these quantities and the expression of the probability distribution were obtained when the differences between adjacent energy levels are the same. These quantities and the distributions were numerically calculated. The qq dependences of the energy, the R\'enyi entropy, and the heat capacity are weak. In contrast, the Tsallis entropy depends on qq. The probability distribution as a function of the energy depends on NN and qq. The results provide a basis for describing power-law-like phenomena in the Tsallis statistics. The present formulation is expected to apply to various phenomena, because the harmonic oscillator plays a fundamental role in describing classical and quantum systems.

Keywords

Cite

@article{arxiv.2507.15258,
  title  = {Description using equilibrium temperature in the canonical ensemble within the framework of the Tsallis statistics employing the conventional expectation value},
  author = {Masamichi Ishihara},
  journal= {arXiv preprint arXiv:2507.15258},
  year   = {2025}
}

Comments

20 pages, 18 figures