English

Generalized Boltzmann-Gibbs Distribution and the Electronic Partition Function Paradox

Mathematical Physics 2025-12-02 v1 Statistical Mechanics math.MP

Abstract

This paper generalizes the entropy maximization problem leading to the Boltzmann-Gibbs distribution through the nonadditive entropy Sq,s(p)=ksi1Wpilnq1/piS_{q,s}(p)=k_{s}\sum^{W}_{i\geq1}p_{i}\ln_{q}1/p_{i}, q(0,1)q\in(0,1), which is a rescaled version of SqS_{q} \cite{Tsallis1988} by a factor ks=kq(emax/(Wσ1))1qk_{s}=k^{q}(e_{\max}/(W^{\sigma}-1))^{1-q}, σ>0\sigma>0, varying according to the underlying energy spectrum and satisfying kskk_{s}\rightarrow k (Boltzmann constant) as q1q\rightarrow 1. The maximization problem based on Sq,sS_{q,s} is used to derive analytical generalizations of the Boltzmann-Gibbs distribution for the case of an energy spectrum that uniformly approaches a continuous, unbounded limit with a common degeneracy, the harmonic oscillator, and the one-dimensional box. Furthermore, I demonstrate that this generalized problem yields a two-tier model with finite structural parameters β\beta for the hydrogen atom in free space and, therefore, can be used to circumvent the Electronic Partition Function Paradox and obtain a family of well-defined thermodynamic behaviors indexed by q(0,1)q\in(0,1). In particular, for q=0.5q=0.5, the specific heat of the free hydrogen atom becomes the Boltzmann constant. Finally, it is shown that all the limiting processes involved in these four cases lead naturally to the same definition of the scale factor ksk_{s} that characterizes Sq,sS_{q,s} (``s'' stands, in this context, for ``spectrum'') in order to grant finite, smooth, macroscopically observable temperature values that are related to the entropic functional by Sq,s/U=1/T±q\partial S_{q,s}/\partial U=1/\vert T\vert^{q}_{\pm}, which recovers SBG/U=1/T\partial S_{BG}/\partial U=1/T \cite{Clausius1865} as q1q\rightarrow1.

Keywords

Cite

@article{arxiv.2512.00894,
  title  = {Generalized Boltzmann-Gibbs Distribution and the Electronic Partition Function Paradox},
  author = {Leandro Lyra Braga Dognini},
  journal= {arXiv preprint arXiv:2512.00894},
  year   = {2025}
}
R2 v1 2026-07-01T08:01:48.413Z