Discrete calculus of variations and Boltzmann distribution without Stirling's approximation
Q. H. Liu

TL;DR
This paper introduces a discrete calculus of variations framework that accurately derives the Boltzmann distribution without relying on Stirling's approximation, addressing theoretical limitations.
Contribution
It presents a novel double extrema form of discrete calculus of variations that directly yields the Boltzmann distribution without Stirling's approximation.
Findings
Derivation of the Boltzmann distribution without Stirling's approximation
Introduction of a double extrema form of discrete calculus of variations
Elimination of common theoretical issues in statistical mechanics
Abstract
A \emph{double extrema form} of the calculus of variations is put forward in which only the smallest one of the finite differences is physically meaningful to represent the variational derivatives defined on the discrete points. The most probable distribution for the Boltzmann system is then reproduced without the Stirling's approximation, and free from other theoretical problems.
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Mathematical Biology Tumor Growth · Statistical Mechanics and Entropy
