Related Experiment Video
Updated: Jan 24, 2026

Analysis and Specification of Starch Granule Size Distributions
Published on: March 4, 2021
Axioms for the Boltzmann Distribution
Adam Brandenburger1, Kai Steverson2
11Stern School of Business, Tandon School of Engineering, NYU Shanghai, New York University, 44 West 4th Street, New York, NY 10012 USA.
This study derives the Boltzmann distribution in statistical mechanics without assuming equal microstate probabilities. It uses two new axioms: thermal equilibrium and unrestricted energy exchange, providing a clearer physical foundation.
Area of Science:
- Statistical Mechanics
- Foundations of Physics
Background:
- The equal probability postulate for microstates in isolated systems is a cornerstone of statistical mechanics.
- This postulate, attributed to Boltzmann, lacks a clear physical basis and has faced criticism.
Purpose of the Study:
- To derive the canonical (Boltzmann) distribution without relying on the equal probability postulate.
- To establish a more physically grounded foundation for the Boltzmann distribution.
Main Methods:
- Introduction of two new axioms with distinct physical interpretations.
- Axiom 1: Thermal Equilibrium - Ensures consistent probability rankings of system states when interacting with different heat baths, preventing population inversions.
- Axiom 2: Energy Exchange - Guarantees that any probability distribution can be achieved through unrestricted energy flow between a system and its heat bath.
Main Results:
- The two proposed axioms uniquely identify the Boltzmann distribution.
- Demonstration that the axioms provide a robust derivation of the canonical distribution.
Conclusions:
- The canonical (Boltzmann) distribution can be derived from fundamental physical axioms without the controversial equal probability postulate.
- The proposed axioms offer a clearer physical interpretation and foundation for statistical mechanics.
- This work refines our understanding of thermal equilibrium and energy exchange in physical systems.
Related Concept Videos
Maxwell-Boltzmann Distribution: Problem Solving
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
Drug Distribution: Volume of Distribution
F Distribution
Volume of Distribution
Uniform Distribution
Two essential properties of this distribution are
Normal Distribution

