English

Coconuts and Islanders: A Statistics-First Guide to the Boltzmann Distribution

Statistical Mechanics 2019-05-02 v1 Physics Education

Abstract

The Boltzmann distribution is one of the key equations of thermal physics and is widely used in machine learning as well. Here I derive a Boltzmann distribution in a simple pedagogical example using only tools from a first-year probability course. The example is called "coconuts and islanders" and was taught to me by my father, Shoucheng Zhang (1963 - 2018), to whom these notes are dedicated. By focusing on this simple story, which can be easily simulated on a computer, I aim to provide a more accessible and intuitive presentation of the Boltzmann distribution. Yet I hope this exposition also inspires deep thinking about statistical physics. For instance, I show that the coconuts and islanders story illuminates a connection between the "fundamental assumption of statistical mechanics"---all microstates are equally probable---and the statistical property of detailed balance.

Cite

@article{arxiv.1904.04669,
  title  = {Coconuts and Islanders: A Statistics-First Guide to the Boltzmann Distribution},
  author = {Brian Zhang},
  journal= {arXiv preprint arXiv:1904.04669},
  year   = {2019}
}
R2 v1 2026-06-23T08:34:13.357Z