From 197bbd585d86ca7091d13144b89441f64e9cfc6a Mon Sep 17 00:00:00 2001 From: Prefetch Date: Sun, 11 Jul 2021 15:29:51 +0200 Subject: Expand knowledge base --- .../concept/grand-canonical-ensemble/index.pdc | 83 ++++++++++++++++++++++ 1 file changed, 83 insertions(+) create mode 100644 content/know/concept/grand-canonical-ensemble/index.pdc (limited to 'content/know/concept/grand-canonical-ensemble') diff --git a/content/know/concept/grand-canonical-ensemble/index.pdc b/content/know/concept/grand-canonical-ensemble/index.pdc new file mode 100644 index 0000000..5853a5f --- /dev/null +++ b/content/know/concept/grand-canonical-ensemble/index.pdc @@ -0,0 +1,83 @@ +--- +title: "Grand canonical ensemble" +firstLetter: "G" +publishDate: 2021-07-11 +categories: +- Physics +- Thermodynamics +- Thermodynamic ensembles + +date: 2021-07-08T11:01:11+02:00 +draft: false +markup: pandoc +--- + +# Grand canonical ensemble + +The **grand canonical ensemble** or **μVT ensemble** +extends the [canonical ensemble](/know/concept/canonical-ensemble/) +by allowing the exchange of both energy $U$ and particles $N$ +with an external reservoir, +so that the conserved state functions are +the temperature $T$, the volume $V$, and the chemical potential $\mu$. + +The derivation is practically identical to that of the canonical ensemble. +We refer to the system of interest as $A$, +and the reservoir as $B$. +In total, $A\!+\!B$ has energy $U$ and population $N$. + +Let $c_B(U_B)$ be the number of $B$-microstates with energy $U_B$. +Then the probability that $A$ is in a specific microstate $s_A$ is as follows: + +$$\begin{aligned} + p(s) + = \frac{c_B\big(U - U_A(s_A), N - N_A(s_A)\big)}{\sum_{s_A} c_B\big(U \!-\! U_A(s_A), N \!-\! N_A(s_A)\big)} +\end{aligned}$$ + +Then, as for the canonical ensemble, +we assume $U_B \gg U_A$ and $N_B \gg N_A$, +and approximate $\ln{p(s_A)}$ +by Taylor-expanding $\ln{c_B}$ around $U_B = U$ and $N_B = N$. +The resulting probability distribution is known as the **Gibbs distribution**, +with $\beta \equiv 1/(kT)$: + +$$\begin{aligned} + \boxed{ + p(s_A) = \frac{1}{\mathcal{Z}} \exp\!\Big(\!-\! \beta \: \big( U_A(s_A) \!-\! \mu N_A(s_A) \big) \Big) + } +\end{aligned}$$ + +Where the normalizing **grand partition function** $\mathcal{Z}(\mu, V, T)$ is defined as follows: + +$$\begin{aligned} + \boxed{ + \mathcal{Z} \equiv \sum_{s_A}^{} \exp\!\Big(\!-\! \beta \: \big( U_A(s_A) - \mu N_A(s_A) \big) \Big) + } +\end{aligned}$$ + +In contrast to the canonical ensemble, +whose [thermodynamic potential](/know/concept/thermodynamic-potential/) +was the Helmholtz free energy $F$, +the grand canonical ensemble instead +minimizes the **grand potential** $\Omega$: + +$$\begin{aligned} + \boxed{ + \begin{aligned} + \Omega(T, V, \mu) + &\equiv - k T \ln{\mathcal{Z}} + \\ + &= \expval{U_A} - T S_A - \mu \expval{N_A} + \end{aligned} + } +\end{aligned}$$ + +So $\mathcal{Z} = \exp\!(- \beta \Omega)$. +This is proven in the same way as for $F$ in the canonical ensemble. + + + +## References +1. H. Gould, J. Tobochnik, + *Statistical and thermal physics*, 2nd edition, + Princeton. -- cgit v1.2.3