Table of Contents
1. Microstate
- \(\psi_i\)
- Because all \(\psi_i\) are indistinguishable, they are equally likely to occur.
2. Ensemble
2.1. Micro-Canonical Ensemble
2.1.1. Definition
- The set of all microstates with the same energy.
- \(\Omega(E)\) is the number of microstates in a micro-canonical ensemble with energy \(E\).
2.2. Canonical Ensemble
- A system in thermal contact with a heat reservoir.
2.3. Grand Canonical Ensemble
- A system thermally and molecularly open to its environment.
3. Macrostate
- Many microstates can have the same macrostate.
4. Boltzmann Distribution
- Named after Ludwig Eduard Boltzmann.
- Probability distribution of microstates, given macrostate under thermal equilibrium.
- Thermal equilibrium is achieved when the probability distribution becomes time independent.
4.1. Derivation
- Let the closed system \(\psi_i\) have the energy of \(E_i\), and the system is within the environment with the energy of \(E_{\rm env}\). The total energy is \(E_i + E_{\rm env} = E\).
- \(P(\psi_i)\) is proportional to the number of microstates of
environment \(\Psi_I\), consistent with \(\psi_i\).
- \[ P(\psi_i) \propto \Omega(E_{\rm env}) = \Omega(E - E_i) \]
- Taylor expand at \(E\), then truncate it under the assumption
\(E,E_{\rm env} \gg E_i\)
\[
\ln(\Omega(E-E_i)) \rightsquigarrow \ln(\Omega(E)) - \frac{\partial \ln(\Omega(E))}{\partial E}E_i
\]
- \(\frac{\displaystyle\partial f(E)}{\displaystyle \partial E}\) represents the derivative evaluated at \(E\).
- Therefore, \[ P(\psi_i) \propto \exp\left(-\frac{\partial \ln(\Omega(E))}{\partial E}E_i\right) \]
- Introduce \[ \beta = \frac{1}{k_B T} = \frac{\partial \ln(\Omega(E))}{\partial E} \]
- Finally, \[ P(\psi_i) = \frac{1}{Z}\exp(-\beta E_i) \] where \(Z\) is the normalizing factor which is the sum of Boltzmann weight of every state.
- \(\psi_i\) is in the canonical ensemble by definition.
4.2. Open System
- \[
P(\psi_i) \propto \Omega(E-E_i, N-N_i)
\]
- The Taylor expansion then becomes \[ \ln(\Omega(E-E_i,N-N_i)) \approx \ln(\Omega(E,N)) - \frac{\partial \ln(\Omega(E,N))}{\partial E}E_i - \frac{\partial \ln(\Omega(E,N))}{\partial N}N_i. \]
- Introduce the chemical potential
\[
\beta\mu = - \frac{\partial \ln(\Omega(E,N))}{\partial N}.
\]
- Negative sign is included to make the particles flow from the higher potential area to the lower potential area.
- It is more negative when the entropy is more variable per molecule transfer.
- Finally, \[ P(\psi_i) = \frac{1}{Z}\exp(-\beta E_i + \beta\mu N_i) \]
4.3. Multiple Chemicals
- \[ P(\psi_i) = \frac{1}{Z}\exp(-\beta E_i + \beta\sum_j\mu_j N_i^{(j)}) \] where \(N_i^{(j)}\) each represent a unique chemical.
5. Entropy
\[ S := k\ln \Omega \]
6. Temperature
- It tells how little the entropy changes due to the change in energy.
6.1. Definition
\[ \frac{1}{T} = \frac{\partial S(E)}{\partial E} \]
7. Partition Function
7.1. Definition
\[ Z = \sum_i \exp(-\beta E_i) \]
It contains the information of all the microstates available at thermal equillibrium.
\[ Z = \frac{\Omega(E)}{\Omega_{\rm env}(E)} \]
8. Macroscopic Quantity
- Macroscopic quantity is the average of microscopic quantities within the ensemble.
- \[ X \equiv \langle X_i \rangle = \sum_i P(\psi_i) X_i \]
8.1. Number
\begin{align*}
N =& \sum_i P(\psi_i)N_i\\
=& \frac{1}{\beta}\sum_i \frac{1}{Z} \frac{\partial}{\partial \mu}\exp(-\beta E_i + \beta\mu N_i) \\
=& \frac{1}{\beta}\frac{\partial}{\partial \mu} \ln Z
\end{align*}
8.2. Internal Energy
\begin{align*}
U =& \frac{1}{Z}\sum_i -\left( \frac{\partial}{\partial \beta} \exp(-\beta E_i + \beta \mu N_i)\right)_{\mu} + \mu N\\
=& -\left(\frac{\partial}{\partial \beta} \ln Z\right)_{\mu} + \mu N
\end{align*}
8.3. Pressure
\begin{align*}
P =& \sum_i P(\psi_i) \left(-\frac{\partial E_i}{\partial V}\right)\\
=& \frac{1}{Z}\left( \frac{1}{\beta}\frac{\partial}{\partial V}\right) \sum_i \exp(-\beta E_i + \beta\mu N_i)\\
=& \frac{1}{\beta}\frac{\partial}{\partial V} \ln Z
\end{align*}
8.4. Energy
- When we do not care about \(N\), we can set \(\mu = 0\).
8.5. Energy Fluctuation
- \[ \delta E^2 = \langle E_i^2\rangle - E^2 \]
- \[ \delta E^2 = -\frac{\partial^2}{\partial\beta^2}\ln Z \]
9. The Law of Thermodynamics
9.1. Zeroth
- Energy flows from the higher temperature to the lower temperature.
- It is due to the entropy in the lower temperature part increases faster than it decreases in the higher temperature part.
9.2. First
- \[ dE = TdS - PdV + \mu dN \]
9.3. Second
- \[dS \ge 0\]
9.4. Third
- \[ T = 0 \implies S = 0 \]