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Phase Transitions

A phase transition is a discontinuity in a thermodynamic quantity or its derivative as a function of a state variable. Phase transitions are classified by Ehrenfest according to which derivative of the Gibbs free energy is discontinuous.

OrderDefinitionExample
First orderGG continuous; G/T\partial G/\partial T or G/P\partial G/\partial P discontinuousBoiling of water
Second orderFirst derivatives continuous; second derivatives discontinuousSuperconducting transition
Lambda (λ\lambda)Divergent second derivativesHelium-4 superfluid transition

For a first-order transition at temperature TcT_cThe latent heat is:

L=TcΔS=Tc(Sphase2Sphase1)L = T_c \Delta S = T_c \left(S_{\text{phase} 2} - S_{\text{phase} 1}\right)

The Clausius—Clapeyron equation governs the slope of the coexistence curve:

dPdT=LTcΔv\frac{dP}{dT} = \frac{L}{T_c \Delta v}

Where Δv=v2v1\Delta v = v_2 - v_1 is the change in specific volume.

10.2 Van der Waals Equation and Critical Phenomena

Section titled “10.2 Van der Waals Equation and Critical Phenomena”

The van der Waals equation of state modifies the ideal gas law to account for intermolecular forces:

(P+av2)(vb)=kBT\left(P + \frac{a}{v^2}\right)(v - b) = k_B T

Where aa accounts for attractive interactions and bb for the finite molecular volume. The critical point (Tc,Pc,vc)(T_c, P_c, v_c) satisfies:

PvTc=0,2Pv2Tc=0\frac{\partial P}{\partial v}\bigg|_{T_c} = 0, \qquad \frac{\partial^2 P}{\partial v^2}\bigg|_{T_c} = 0

Solving gives:

Tc=8a27bkB,Pc=a27b2,vc=3bT_c = \frac{8a}{27bk_B}, \qquad P_c = \frac{a}{27b^2}, \qquad v_c = 3b

Near the critical point, define the reduced variables T~=T/Tc\tilde{T} = T/T_c, P~=P/Pc\tilde{P} = P/P_c, v~=v/vc\tilde{v} = v/v_c to obtain the universal form:

(P~+3v~2)(3v~1)=8T~\left(\tilde{P} + \frac{3}{\tilde{v}^2}\right)(3\tilde{v} - 1) = 8\tilde{T}

The order parameter ϕ=(vgasvliquid)/(vc)\phi = (v_{\text{gas} - v_{\text{liquid})/(v_c)}} vanishes as:

ϕ(TcT)β\phi \propto (T_c - T)^{\beta}

Where β=1/2\beta = 1/2 is the mean-field critical exponent (van der Waals prediction).

Near a second-order phase transition, thermodynamic quantities follow power laws characterized by critical exponents:

ExponentDefinitionMean-field2D Ising3D Ising (numerical)
α\alphaCtαC \propto \|t\|^{-\alpha}0 (jump)0 (log)
β\betaϕ(t)β\phi \propto (-t)^\beta1/21/21/81/80.326\approx 0.326
γ\gammaχtγ\chi \propto \|t\|^{-\gamma}117/47/4
δ\deltaϕh1/δ\phi \propto h^{1/\delta} at t=0t=03315154.789\approx 4.789

Where t=(TTc)/Tct = (T - T_c)/T_c is the reduced temperature and hh is the conjugate field.

Worked Example 10.1: Clausius--Clapeyron for Water

For the water—steam transition at 1 atm, Tc=373.15T_c = 373.15 K, L=2260L = 2260 kJ/kg, vsteam=1.673v_{\text{steam} = 1.673} m3^3/kg, vwater=1.043×103v_{\text{water} = 1.043 \times 10^{-3}} m3^3/kg.

dPdT=LTΔv=2.26×106373.15×1.673=2.26×106624.33620 Pa/K0.0357 atm/K\frac{dP}{dT} = \frac{L}{T \Delta v} = \frac{2.26 \times 10^6}{373.15 \times 1.673} = \frac{2.26 \times 10^6}{624.3} \approx 3620 \text{ Pa/K} \approx 0.0357 \text{ atm/K}

This means increasing the boiling temperature by 1 K requires increasing the pressure by about 0.036 atm.

Worked Example 10.2: Critical Parameters of CO$_2$

For CO2_2, a=0.364a = 0.364 Pa\cdotM6^6/mol2^2, b=4.27×105b = 4.27 \times 10^{-5} m3^3/mol. Using the critical point formulas:

Tc=8a27Rb=8×0.36427×8.314×4.27×105=2.9129.585×103303.7 KT_c = \frac{8a}{27Rb} = \frac{8 \times 0.364}{27 \times 8.314 \times 4.27 \times 10^{-5}} = \frac{2.912}{9.585 \times 10^{-3}} \approx 303.7 \text{ K}

Pc=a27b2=0.36427×(4.27×105)2=0.3644.923×1087.40×106 Pa=74.0 atmP_c = \frac{a}{27b^2} = \frac{0.364}{27 \times (4.27 \times 10^{-5})^2} = \frac{0.364}{4.923 \times 10^{-8}} \approx 7.40 \times 10^6 \text{ Pa} = 74.0 \text{ atm}

The experimental values are Tc=304.3T_c = 304.3 K and Pc=73.8P_c = 73.8 atm, showing good agreement.

  • Confusing first-order and second-order transitions: First-order transitions have discontinuous first derivatives of GG, meaning latent heat and volume change. Second-order transitions have continuous first derivatives but discontinuous second derivatives (diverging susceptibility).
  • Assuming mean-field exponents are exact: The van der Waals equation predicts β=1/2\beta = 1/2, but real fluids and the 3D Ising model give β0.326\beta \approx 0.326. Mean-field theory breaks down near TcT_c due to fluctuations.
  • Forgetting that the Clausius-Clapeyron equation only applies to first-order transitions: At a second-order transition, ΔS=0\Delta S = 0 and Δv=0\Delta v = 0, so the equation is undefined (0/0), and the Ehrenfest equations must be used instead.
  • Misidentifying the order parameter: The choice of order parameter depends on the system. For the liquid-gas transition, it is the density difference; for a magnet, it is the magnetisation; for a superfluid, it is the macroscopic wavefunction amplitude.

Worked Example: Landau Theory of Phase Transitions

Section titled “Worked Example: Landau Theory of Phase Transitions”

Near a second-order transition, the free energy can be expanded as a power series in the order parameter ϕ\phi:

F(T,ϕ)=F0(T)+a(T)ϕ2+b(T)ϕ4+F(T, \phi) = F_0(T) + a(T)\phi^2 + b(T)\phi^4 + \cdots

For T>TcT > T_c, a(T)>0a(T) > 0 and the minimum is at ϕ=0\phi = 0. For T<TcT < T_c, a(T)<0a(T) < 0 and the minima are at ϕ=±a/(2b)\phi = \pm \sqrt{-a/(2b)}. The simplest choice is a(T)=a0(TTc)a(T) = a_0(T - T_c) with a0>0a_0 > 0, giving:

ϕ=±a02b(TcT)1/2(TcT)β\phi = \pm \sqrt{\frac{a_0}{2b}(T_c - T)^{1/2}} \propto (T_c - T)^\beta

with β=1/2\beta = 1/2, recovering the mean-field result. The free energy at the minimum is:

F(T)=F0(T)a024b(TcT)2F(T) = F_0(T) - \frac{a_0^2}{4b}(T_c - T)^2

The heat capacity jumps at TcT_c: ΔC=a02Tc2b\Delta C = \frac{a_0^2 T_c}{2b}, which is the mean-field prediction α=0\alpha = 0.

Worked Example: Liquid-Gas Coexistence Curve

Section titled “Worked Example: Liquid-Gas Coexistence Curve”

The Clausius-Clapeyron equation can be integrated if LL and Δv\Delta v are treated as approximately constant over a small temperature range:

P(T)=P0+LΔvln(TT0)P(T) = P_0 + \frac{L}{\Delta v}\ln\left(\frac{T}{T_0}\right)

For water near 100100^\circC, using L=2.26×106L = 2.26 \times 10^6 J/kg, Δv=1.672\Delta v = 1.672 m3^3/kg, T0=373.15T_0 = 373.15 K, P0=1.013×105P_0 = 1.013 \times 10^5 Pa:

P(T)1.013×105+1.35×106ln(T373.15) PaP(T) \approx 1.013 \times 10^5 + 1.35 \times 10^6 \cdot \ln\left(\frac{T}{373.15}\right) \text{ Pa}

At T=374.15T = 374.15 K (1 K above boiling), P1.013×105+1.35×106ln(1.00268)1.049×105P \approx 1.013 \times 10^5 + 1.35 \times 10^6 \cdot \ln(1.00268) \approx 1.049 \times 10^5 Pa, or about 1.036 atm — consistent with the linear approximation of 0.036 atm/K.

  • Clausius-Clapeyron links latent heat to the coexistence curve slope: A larger latent heat LL or smaller volume change Δv\Delta v produces a steeper dP/dTdP/dT, meaning the boiling point is more sensitive to pressure.
  • Critical exponents satisfy scaling relations: α+2β+γ=2\alpha + 2\beta + \gamma = 2 (Rushbrooke), γ=β(δ1)\gamma = \beta(\delta - 1) (Widom), and γ=ν(2η)\gamma = \nu(2 - \eta) (Fisher) connect the four exponents, reducing independent parameters.
  • The order parameter distinguishes phases: Below TcT_c, ϕ0\phi \neq 0 (ordered phase); above TcT_c, ϕ=0\phi = 0 (disordered phase). The continuity or discontinuity of ϕ\phi classifies the transition order.
  • The van der Waals equation predicts mean-field exponents: Real systems often show different exponents (e.g., 3D Ising β0.326\beta \approx 0.326 vs mean-field β=1/2\beta = 1/2) due to fluctuations near TcT_c.
  • Latent heat vanishes at the critical point: As TTcT \to T_c, ΔS0\Delta S \to 0 and the distinction between phases disappears, creating a continuous transition.
  • Weather and climate: Phase transitions of water (evaporation, condensation, freezing) drive weather patterns and are central to climate models.
  • Materials science: Understanding solid-liquid phase transitions controls casting, welding, and crystal growth processes.
  • Superconductivity: The superconducting transition is a second-order phase transition characterised by the vanishing of electrical resistance and expulsion of magnetic fields.
  • Cryogenics: The lambda transition in helium-4 determines the properties of superfluid helium used in low-temperature experiments.
  • Food industry: Controlling phase transitions (freezing, melting, crystallisation) determines texture and shelf life of food products.