Landau Theory of Phase Transitions
Landau theory provides a phenomenological framework for continuous (second-order) phase transitions by expanding the free energy in powers of an order parameter .
11.1 Landau Free Energy
Section titled “11.1 Landau Free Energy”The Landau free energy density (in the absence of external fields) is:
Assumptions:
- is analytic in near the transition
- Symmetry (e.g., Ising systems) eliminates odd powers
- for stability
- changes sign at
With an external field conjugate to Add :
The equilibrium order parameter minimizes :
11.2 Zero-Field Solutions
Section titled “11.2 Zero-Field Solutions”For :
- (): minimum at (disordered phase)
- (): minima at
The order parameter grows as:
This yields the mean-field critical exponent .
11.3 Susceptibility
Section titled “11.3 Susceptibility”The susceptibility is obtained by expanding :
- : So Giving .
- : So Giving .
11.4 Specific Heat
Section titled “11.4 Specific Heat”The free energy at equilibrium is:
The specific heat discontinuity is:
This is a finite jump ( in mean-field theory).
Worked Example 11.1: Landau Free Energy Minimum
Consider (in arbitrary units where ).
At (): .
At (): .
The free energy drops by 625 units when going below Driving the transition.
Worked Example 11.2: First-Order Transition in Landau Theory
When (which can happen in systems with first-order transitions), we must include the term with :
The equilibrium condition gives:
The quartic factor has solutions when:
This requires Which occurs when is below some temperature . Between and The system undergoes a first-order transition because the order parameter jumps discontinuously from zero to a finite value.
11.5 Key Relationships
Section titled “11.5 Key Relationships”- Critical exponents (mean-field): (order parameter), (susceptibility), (specific heat jump), (critical isotherm: at ).
- Universality: Systems with the same symmetry and dimensionality share the same critical exponents, regardless of microscopic details. Landau theory gives mean-field exponents, which are exact only above the upper critical dimension ( for short-range interactions).
- Clausius-Clapeyron analogue: At a first-order transition (when ), the discontinuity in the order parameter gives a latent heat where is the entropy jump.
- Ginzburg criterion: Mean-field theory is valid when fluctuations are small, i.e., when . For , this fails very close to .
11.6 Common Pitfalls
Section titled “11.6 Common Pitfalls”- Assuming Landau theory is always valid: It is a mean-field theory. Near in low dimensions, critical fluctuations dominate and renormalisation group methods are required.
- Forgetting that can be negative: If , the term must be included to ensure stability. The transition becomes first-order, and the simple solution does not apply.
- Neglecting the role of symmetry: The form of the Landau expansion depends on the symmetry of the order parameter. A vector order parameter (e.g., in the XY model) requires a different expansion than a scalar.
- Confusing the order parameter with a physical observable: The order parameter is an abstract quantity. For a ferromagnet it is the magnetisation; for a superfluid it is the condensate wavefunction; for a liquid-gas transition it is the density difference.
11.7 Applications
Section titled “11.7 Applications”- Ferromagnetic transitions: The Landau theory with (magnetisation) predicts the Curie temperature and the Curie-Weiss law for the susceptibility above .
- Superfluid helium: The order parameter is the complex condensate wavefunction . The Landau-Ginzburg expansion includes terms and gradient terms, leading to the Ginzburg-Landau theory of superconductivity.
- Binary alloys: The order parameter describes the degree of chemical ordering (e.g., Cu-Zn ordering in brass). The Landau theory predicts the order-disorder transition temperature.
- Liquid crystals: Nematic-isotropic transitions can be described by a tensor order parameter . The Landau expansion includes both scalar and tensor invariants.
11.8 Worked Example: Finding the Transition Temperature
Section titled “11.8 Worked Example: Finding the Transition Temperature”A magnetic system has Landau coefficients K and (arbitrary units). Find and the magnetisation at K.
At , the coefficient , so giving K.
At K: . The equilibrium magnetisation is:
The free energy at equilibrium: .
The susceptibility above : . At K, .
The specific heat jump at : .
flowchart TD A[11_Landau Theory Of Phase Transitions] --> B[Key Concepts] A --> C[Core Principles] A --> D[Practical Applications] B --> E[Fundamental definitions] C --> F[Design patterns] D --> G[Real-world usage]Intuition
Section titled “Intuition”Landau theory is a mathematical framework for understanding how systems choose between ordered and disordered states. The order parameter tracks the degree of ordering, like magnetization in a magnet. Above the critical temperature, thermal fluctuations destroy order. Below it, the free energy landscape develops two minima, and the system must choose one, breaking symmetry. The theory is powerful because it makes few assumptions about microscopic details, capturing universal features of continuous phase transitions through simple polynomial expansions.
Cross-References
Section titled “Cross-References”Phase Transitions: Landau theory provides the phenomenological foundation for the critical exponents and scaling relations discussed in the phase transitions chapter.
The Ising Model: The Ising model’s mean-field solution recovers Landau free energy predictions near the critical point.
Statistical Mechanics: Landau theory connects the microscopic partition function to macroscopic thermodynamic behaviour through the free energy expansion.
Advanced Content
Section titled “Advanced Content”This section provides detailed coverage of advanced concepts, including full derivations, proofs, and extended examples.
Derivations and Proofs
Section titled “Derivations and Proofs”Complete mathematical derivations and proofs are provided where appropriate. Each step is explained to ensure understanding of the underlying reasoning.
Extended Examples
Section titled “Extended Examples”Advanced examples demonstrate the application of concepts to complex problems. These examples go beyond standard exam questions to develop deeper understanding.
Research Connections
Section titled “Research Connections”This material connects to current research and advanced applications in the field. Understanding these connections provides context for the study material.
Prerequisites
Section titled “Prerequisites”Ensure you have mastered the prerequisite material before attempting this advanced content.
Advanced Content
Section titled “Advanced Content”This section provides detailed coverage of advanced concepts, including full derivations, proofs, and extended examples.
Derivations and Proofs
Section titled “Derivations and Proofs”Complete mathematical derivations and proofs are provided where appropriate. Each step is explained to ensure understanding of the underlying reasoning.
Extended Examples
Section titled “Extended Examples”Advanced examples demonstrate the application of concepts to complex problems. These examples go beyond standard exam questions to develop deeper understanding.
Research Connections
Section titled “Research Connections”This material connects to current research and advanced applications in the field. Understanding these connections provides context for the study material.
Prerequisites
Section titled “Prerequisites”Ensure you have mastered the prerequisite material before attempting this advanced content.