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---
title: "Bose-Einstein distribution"
sort_title: "Bose-Einstein distribution"
date: 2021-07-11
categories:
- Physics
- Statistics
- Quantum mechanics
layout: "concept"
---
**Bose-Einstein statistics** describe how bosons,
which do not obey the [Pauli exclusion principle](/know/concept/pauli-exclusion-principle/),
distribute themselves across the available states
in a system at equilibrium.
Consider a single-particle state $$\ket{i}$$,
which can contain any number of bosons.
Since the occupation number $$n_i$$ is variable,
we use the [grand canonical ensemble](/know/concept/grand-canonical-ensemble/),
whose grand partition function $$\mathcal{Z}$$ is as shown below,
where $$\varepsilon_i$$ is the energy per particle,
and $$\mu$$ is the chemical potential.
We evaluate the sum in $$\mathcal{Z}$$ as a geometric series:
$$\begin{aligned}
\mathcal{Z}
= \sum_{m = 0}^\infty \Big( e^{-\beta (\varepsilon_i - \mu)} \Big)^{m}
= \frac{1}{1 - e^{-\beta (\varepsilon_i - \mu)}}
\end{aligned}$$
The corresponding [thermodynamic potential](/know/concept/thermodynamic-potential/)
is the Landau potential $$\Omega$$, given by:
$$\begin{aligned}
\Omega
= - k T \ln{\mathcal{Z}}
= k T \ln\!\big( 1 - e^{-\beta (\varepsilon_i - \mu)} \big)
\end{aligned}$$
The average number of particles $$\expval{n_i}$$ in $$\ket{i}$$
is then found by taking a derivative of $$\Omega$$:
$$\begin{aligned}
\expval{n_i}
= - \pdv{\Omega}{\mu}
= k T \pdv{\ln{\mathcal{Z}}}{\mu}
= \frac{e^{-\beta (\varepsilon_i - \mu)}}{1 - e^{-\beta (\varepsilon_i - \mu)}}
\end{aligned}$$
By multiplying both the numerator and the denominator by $$e^{\beta(\varepsilon_i - \mu)}$$,
we arrive at the standard form of the **Bose-Einstein distribution** $$f_B$$:
$$\begin{aligned}
\boxed{
\expval{n_i}
= f_B(\varepsilon_i)
= \frac{1}{e^{\beta (\varepsilon_i - \mu)} - 1}
}
\end{aligned}$$
This gives the expected occupation number $$\expval{n_i}$$
of state $$\ket{i}$$ with energy $$\varepsilon_i$$,
given a temperature $$T$$ and chemical potential $$\mu$$.
{% comment %}
The corresponding variance $$\sigma^2 \equiv \expval{n_i^2} - \expval{n_i}^2$$ is found to be:
$$\begin{aligned}
\boxed{
\sigma^2
= k T \pdv{\expval{n_i}}{\mu}
= \expval{n_i} \big(1 + \expval{n_i}\!\big)
}
\end{aligned}$$
{% endcomment %}
## References
1. H. Gould, J. Tobochnik,
*Statistical and thermal physics*, 2nd edition,
Princeton.
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