Chapter 1

Thermodynamics

I. Thermodynamic Systems, States, and Processes

1. Thermodynamic Systems

2. State of a System

Isolated and closed systems will eventually reach an equilibrium state: Thermodynamic equilibrium (macroscopic quantities do not change).

Systems deviating from equilibrium but not moving far can be divided into several local equilibrium states. If there is a steady "flow", it is in a quasi-steady state (non-equilibrium state).

Independent macroscopic variables depend on the degrees of freedom of the equilibrium state: State parameters → Characteristic functions → State functions.

  1. Particle number: $N$
  2. Volume: $V$
  3. Temperature: $T$ (Equation of state)
  4. Pressure: $P$
  5. Entropy: $S$ (Entropy differential representation)
  6. Internal energy: $E$ (Energy equation), $C_V = \left(\frac{\partial E}{\partial T}\right)_V$
  7. Enthalpy: $H = E + PV$, $C_P = \left(\frac{\partial H}{\partial T}\right)_P$
  8. Helmholtz free energy: $F = E - TS$
  9. Gibbs free energy: $G = E + PV - TS$
  10. Chemical potential: $\mu = \left(\frac{\partial G}{\partial N}\right)_{T,P} = \left(\frac{\partial F}{\partial N}\right)_{T,V} = \left(\frac{\partial H}{\partial N}\right)_{S,P} = \left(\frac{\partial E}{\partial N}\right)_{S,V}$

Quantities can also be classified as:

$$ \begin{cases} \text{Measurable quantities: } P, C_V, C_P, T, V, \dots \\ \text{Directly unmeasurable quantities: } E, H, F, G, S, \mu, \dots \end{cases} $$ $$ \begin{cases} \text{Extensive quantities: } N, V, E, H, F, G, S, \dots \\ \text{Intensive quantities: } P, T, \mu, \dots \end{cases} $$

3. Thermodynamic Processes

A thermodynamic process describes the transition from one equilibrium state to another equilibrium state.

$$ \begin{cases} \text{Reversible process: e.g., quasi-static process (no dissipation, passes through a series of equilibrium states)} \\ \text{Irreversible process: e.g., all real spontaneous processes} \end{cases} $$

4. First Law of Thermodynamics

$$ dE = TdS - PdV + \sum \mu_i dN_i $$ $$ dH = TdS + VdP + \sum \mu_i dN_i $$ $$ dF = -SdT - PdV + \sum \mu_i dN_i $$ $$ dG = -SdT + VdP + \sum \mu_i dN_i $$

From Green's formula, we can obtain the Maxwell relations.

5. Second Law of Thermodynamics

Reversible process: $dS = \frac{dQ}{T}$. Irreversible process: $dS > \frac{dQ}{T}$.

If the thermodynamic process is adiabatic ($dQ = 0$), then $dS \ge 0$.

$$ dE \le 0 \quad (dS=0, dV=0, dN_i = 0) $$ $$ dH \le 0 \quad (dS=0, dP=0, dN_i = 0) $$ $$ dF \le 0 \quad (dT=0, dV=0, dN_i = 0) $$ $$ dG \le 0 \quad (dT=0, dP=0, dN_i = 0) $$

II. Equilibrium Distribution of Nearly Independent Systems

Macroscopic quantities (state parameters, state functions) are the statistical average of microscopic quantities.

$$ \begin{cases} \text{Macroscopic quantities with microscopic counterparts: } P, E \dots \text{ (statistical average of microscopic quantities)} \\ \text{Macroscopic quantities without microscopic counterparts: } T, S \dots \text{ (obtained by comparing with thermodynamic results)} \end{cases} $$

Equal probability hypothesis:

$$ P\{n_i\} = \frac{W(\{n_i\}, N, V, E)}{\sum_{\{n_i\}} W(\{n_i\}, N, V, E)} $$

Most probable distribution method: If $P\{n_i\}_m \gg P_{\text{other}}$, take $\{n_i\}_m$ as the equilibrium distribution.

1. Localized Particles: Boltzmann Distribution

$$ W_{Bol}\{n_i\} = N! \prod \frac{g_i^{n_i}}{n_i!} = \prod C_{N}^{n_i} g_i^{n_i} $$

From $\frac{\partial}{\partial n_i} \ln W_{Bol} + \alpha \frac{\partial}{\partial n_i} (N - \sum n_i) + \beta \frac{\partial}{\partial n_i} (E - \sum n_i \varepsilon_i) = 0$

We get the Boltzmann distribution:

$$ n_i = g_i e^{-\alpha - \beta \varepsilon_i} $$

2. Non-localized Particles: Bose-Einstein Distribution

$$ W_{BE}\{n_i\} = \prod C_{n_i + g_i - 1}^{g_i - 1} $$

From $\frac{\partial}{\partial n_i} \ln W_{BE} + \alpha \frac{\partial}{\partial n_i} (N - \sum n_i) + \beta \frac{\partial}{\partial n_i} (E - \sum n_i \varepsilon_i) = 0$

We get the Bose-Einstein distribution:

$$ n_i = \frac{g_i}{e^{\alpha + \beta \varepsilon_i} - 1} $$

3. Non-localized Particles: Fermi-Dirac Distribution

$$ W_{FD}\{n_i\} = \prod C_{g_i}^{n_i} $$

From $\frac{\partial}{\partial n_i} \ln W_{FD} + \alpha \frac{\partial}{\partial n_i} (N - \sum n_i) + \beta \frac{\partial}{\partial n_i} (E - \sum n_i \varepsilon_i) = 0$

We get the Fermi-Dirac distribution:

$$ n_i = \frac{g_i}{e^{\alpha + \beta \varepsilon_i} + 1} $$

4. Classical Limit Condition

When $e^\alpha \gg 1$ or $\frac{n_i}{g_i} \ll 1$ or $\left(\frac{V}{N}\right)^{\frac{1}{3}} \gg \frac{h}{\sqrt{2\pi m kT}}$:

$$ W_S = W_{BE} \approx W_{FD} \approx W_{Bol} / N! = \prod \frac{g_i^{n_i}}{n_i!} $$

From $\frac{\partial}{\partial n_i} \ln W_S + \alpha \frac{\partial}{\partial n_i} (N - \sum n_i) + \beta \frac{\partial}{\partial n_i} (E - \sum n_i \varepsilon_i) = 0$, we get:

$$ n_i = g_i e^{-\alpha - \beta \varepsilon_i} $$

(This does not consider particle indistinguishability).

When $\Delta \varepsilon \ll kT$, we can use continuous integration:

$$ n(\varepsilon) = g(\varepsilon) f(\varepsilon) $$

(This does not consider energy quantization, but considers the uncertainty principle).

In a $2\gamma$-dimensional phase space, $\varepsilon = \varepsilon(q_1, q_2 \dots q_\gamma, p_1, p_2 \dots p_\gamma)$:

$$ \Omega(\varepsilon) = \int \dots \int_{(\varepsilon' \le \varepsilon)} dq_1 \dots dq_\gamma dp_1 \dots dp_\gamma $$ $$ g(\varepsilon)d\varepsilon = \frac{d\Omega(\varepsilon)}{h^\gamma} $$
Example 1: Classical Particle

Energy relation: $\varepsilon = \frac{p^2}{2m}$

Example 2: Ultra-relativistic Particle

Energy relation: $\varepsilon = cp$


III. Macroscopic Quantities in Boltzmann Systems

Partition function (Characteristic function):

$$ z(\beta, V) = \sum e^{-\beta \varepsilon_i} g_i $$

Under classical limit conditions:

$$ z(\beta, V) = \int_0^\infty e^{-\beta \varepsilon} g(\varepsilon) d\varepsilon $$

Using the partition function, we can derive the macroscopic state functions:

Differential relations:

$$ dE = \sum n_i d\varepsilon_i + \sum \varepsilon_i dn_i = dW + dQ $$ $$ dW = \sum_k Y_k dy_k = \sum_k n_i \frac{\partial \varepsilon_i}{\partial y_k} dy_k = \frac{N}{z} \left(\sum_i n_i \frac{\partial \varepsilon_i}{\partial y_k}\right) dy_k $$ $$ Y_k = \sum n_i \frac{\partial \varepsilon_i}{\partial y_k} = -\frac{N}{\beta} \frac{\partial \ln z}{\partial y_k} \quad \text{e.g., } P = \frac{N}{\beta} \frac{\partial \ln z}{\partial V} $$ $$ dQ = dE - \sum Y_k dy_k = \frac{N}{\beta} d\left(\ln z - \beta \frac{\partial \ln z}{\partial \beta}\right) = T dS $$ $$ S = Nk\left(\ln z - \beta \frac{\partial \ln z}{\partial \beta}\right) + S' \quad \text{where } \beta = \frac{1}{kT} $$

In semi-classical distribution, $z = z(\beta, V)$:

$$ \ln W_S \approx N(1 - \ln N) + N\left(\ln z - \beta \frac{\partial \ln z}{\partial \beta}\right) $$ $$ S = k \ln W_S\{n_i\} = Nk\left(\ln \frac{ez}{N} - \beta \frac{\partial \ln z}{\partial \beta}\right) $$ $$ S' = Nk(1 - \ln N) $$ $$ F = E - TS = -NkT \ln \frac{ez}{N} $$ $$ \mu = \left(\frac{\partial F}{\partial N}\right)_{T,V} = -kT \ln \frac{z}{N} = -kT\alpha \implies \alpha = -\frac{\mu}{kT} $$

In Boltzmann distribution, $z = z(\beta, V)$:

$$ \ln W_{Bol} \approx N\left(\ln z - \beta \frac{\partial \ln z}{\partial \beta}\right) $$ $$ S = k \ln W_{Bol}\{n_i\} = Nk\left(\ln z - \beta \frac{\partial \ln z}{\partial \beta}\right) $$ $$ S' = 0 $$

1. Ideal gas of monoatomic molecules: semi-classical distribution, classical limit

2. Ideal gas of monoatomic molecules: semi-classical distribution, ultra-relativistic limit

3. Ideal gas of diatomic molecules: semi-classical distribution, classical limit

① Translation: Same as monoatomic molecules.

② Vibration:

③ Rotation:

$$ z^r = \sum_{l=0}^\infty (2l+1) e^{-\beta \frac{h^2}{8\pi^2 I} l(l+1)}, \quad \Theta^r = \frac{h^2}{8\pi^2 I k} = \frac{\Delta\varepsilon^r}{k} $$

When $T \ll \Theta^r$:

$$ C_V^r \approx 12Nk \left(\frac{\Theta^r}{T}\right)^2 e^{-\frac{2\Theta^r}{T}} $$

When $T \gg \Theta^r$ (room temperature):

$$ z^r \approx \int_0^\infty (2l+1) e^{-\frac{\Theta^r}{T} l(l+1)} dl = \frac{T}{\Theta^r} $$ $$ E^r = -N \frac{\partial}{\partial \beta} \ln z^r = NkT $$ $$ C_V^r = Nk, \quad P = 0 $$

4. Paramagnetism of solids: Boltzmann distribution, spin

$$ z = e^{\beta \mu B} + e^{-\beta \mu B}, \quad g_\uparrow = g_\downarrow = 1 $$ $$ N_\uparrow = N \frac{e^{\beta\mu B}}{e^{\beta\mu B} + e^{-\beta\mu B}}, \quad N_\downarrow = N \frac{e^{-\beta\mu B}}{e^{\beta\mu B} + e^{-\beta\mu B}} $$

Magnetic moment:

$$ M = \mu(N_\uparrow - N_\downarrow) = N\mu \frac{e^{\beta\mu B} - e^{-\beta\mu B}}{z} = N\mu \tanh(\beta\mu B) $$ $$ \begin{cases} \frac{\mu B}{kT} \ll 1: M \approx \frac{N\mu^2}{kT} B = \frac{N\mu^2 \mu_0}{kT} H \\ \frac{\mu B}{kT} \gg 1: M \approx N\mu \end{cases} $$ $$ E = -N \frac{\partial \ln z}{\partial \beta} = -N\mu B \tanh(\beta\mu B) = -MB $$ $$ S = Nk\left(\ln z - \beta \frac{\partial \ln z}{\partial \beta}\right) \implies \begin{cases} \frac{\mu B}{kT} \ll 1: S \approx Nk\ln 2 \\ \frac{\mu B}{kT} \gg 1: S \approx 0 \end{cases} $$

IV. Macroscopic Quantities in Bose Systems and Fermi Systems

Grand partition function (Characteristic function):

$$ \Phi(\alpha, \beta, y) = \pm \sum g_i \ln(1 \pm e^{-\alpha-\beta\varepsilon_i}) $$

Under classical limit condition:

$$ \Phi(\alpha, \beta, y) = \pm \int_0^\infty g(\varepsilon) \ln(1 \pm e^{-\alpha-\beta\varepsilon}) d\varepsilon $$

(where $+$ is for Fermi, $-$ is for Bose).

Similar to the Boltzmann derivations, we can get:

$$ Y_k = -\frac{1}{\beta} \frac{\partial \Phi}{\partial y_k}, \quad \text{e.g. } P = \frac{1}{\beta} \frac{\partial \Phi}{\partial V} $$ $$ S = k \ln W_{S}\{n_i\} = k\left(\Phi - \alpha \frac{\partial \Phi}{\partial \alpha} - \beta \frac{\partial \Phi}{\partial \beta}\right), \quad S' = 0, \quad \beta = \frac{1}{kT} $$

From the full differential equation of the open system $dE = TdS + \sum Y_k dy_k + \mu dN$ and the full differential formula of $\Phi$, we can get $\alpha = -\frac{\mu}{kT}$.

1. Strongly Degenerate Bose Gas: Bose Distribution, Classical Limit

We know $n_i = \frac{g_i}{e^{\frac{\varepsilon_i-\mu}{kT}} - 1} \ge 0$. Take $\varepsilon_0 = 0$, then $\mu < 0$.

Since $N = \sum n_i = \text{constant}$, we know that as $T \downarrow \implies \mu \uparrow$. When $T = T_c$, $\mu = 0$.

2. Strongly Degenerate Photon Gas: Bose Distribution, Ultra-relativistic Limit

Photon rest mass is 0. Under any condition, a photon gas is a strongly degenerate Bose gas. Spin degeneracy $g=2$. Particle number is not conserved, so $\alpha=0$.

3. Strongly Degenerate Phonon Gas: Bose Distribution, Ultra-relativistic Limit

The phonon quantum number can take any integer under simplification, so the phonon gas is a strongly degenerate Bose gas. $g_l=1, g_t=2$. Vibrational state is not conserved, so $\alpha=0$.

① Einstein Model: $\nu = \nu_E$

$$ \Phi(\beta, V) = -\int_0^\infty \ln(1 - e^{-\beta h\nu}) g(\varepsilon) d\varepsilon = -3N \ln(1 - e^{-\beta h\nu_E}) $$ $$ E_{\text{vib}} = -\frac{\partial \Phi}{\partial \beta} = 3N \frac{h\nu_E}{e^{\beta h\nu_E} - 1} \quad E_{\text{total}} = E_p + E_{\text{vib}} $$ $$ C_V = 3Nk \frac{x^2 e^x}{(e^x - 1)^2}, \quad x = \frac{\Theta_E}{T}, \quad \Theta_E = \frac{h\nu_E}{k} = \frac{\Delta\varepsilon}{k} $$ $$ \begin{cases} T \ll \Theta_E: C_V \approx 3Nk \left(\frac{\Theta_E}{T}\right)^2 e^{-\frac{\Theta_E}{T}} \\ T \gg \Theta_E: C_V \approx 3Nk \end{cases} $$

② Debye Model: $\nu \le \nu_D$

Note: Sommerfeld Expansion

Calculate the integral of $f(\varepsilon) \varphi(\varepsilon)$ under $0 < T \ll T_F$:

$$ I = \int_0^\infty \varphi(\varepsilon) f(\varepsilon) d\varepsilon = \int_0^\mu \varphi(\varepsilon) d\varepsilon + \frac{\pi^2}{6} (kT)^2 \varphi'(\mu) + \dots $$

Proof: using integration by parts $I = -[g(\varepsilon) f(\varepsilon)]_0^\infty - \int_0^\infty g(\varepsilon) \frac{df}{d\varepsilon} d\varepsilon$. Since $f$ is non-zero only near $\varepsilon = \mu$, expand $g(\varepsilon)$ near $\mu$ and substitute. Let $x = \frac{\varepsilon - \mu}{kT}$. Since $T \ll \frac{\mu}{k}$, the lower bound approaches $-\infty$, and since $\frac{\partial f}{\partial x}$ is an even function, we integrate over the whole axis to get the expansion formula.

4. Strongly Degenerate Fermi Gas: Fermi Distribution, Classical Limit

① At $T = 0K$:

$$ \frac{n_i}{g_i} = \frac{1}{e^{\frac{\varepsilon_i-\mu}{kT}} + 1} = \begin{cases} 1 & \varepsilon \le \mu_0 \\ 0 & \varepsilon > \mu_0 \end{cases}, \quad S_0 = 0 $$

② When $0 < T \ll \frac{\mu_0}{k} = T_F$:

5. Strongly Degenerate Fermi Gas: Fermi Distribution, Ultra-relativistic Limit

At $T = 0K, S_0 = 0$:

Energy scaling and pressure relations (from Schrödinger equation):

$$ E \sim p^L $$

For a 3D infinite potential well, solving the Schrödinger equation $\mathcal{H}\Psi = E\Psi$ gives boundary conditions containing $V^{-1/3}$. In general, for an $n$-dimensional infinite potential well:

$$ \varepsilon_i \sim V^{-L/n}, \quad P = -\sum n_i \frac{\partial \varepsilon_i}{\partial V} $$ $$ P = \frac{LE}{nV}, \quad \frac{C_P}{C_V} = \frac{n+L}{n} $$

(Assuming $H = E + PV$ holds).