The Ising Model
6.1 Definition
Section titled “6.1 Definition”The Ising model is the simplest model of a phase transition. On a lattice of sites, each site has a spin variable . The Hamiltonian is
Where is the coupling constant, denotes nearest-neighbour pairs, and is an external magnetic field.
- : ferromagnetic (spins prefer to align).
- : antiferromagnetic (spins prefer to anti-align).
6.2 Exact Solution in One Dimension
Section titled “6.2 Exact Solution in One Dimension”Theorem 6.1. The 1D Ising model with has no phase transition at any finite temperature.
Proof (Transfer matrix method). Consider a chain of spins with periodic boundary conditions (). The partition function is:
Define the transfer matrix with elements :
The partition function is where are the eigenvalues of :
In the thermodynamic limit (), and the free energy per spin is:
The magnetisation for all Confirming no spontaneous magnetisation and hence no phase transition.
6.3 Mean Field Theory
Section titled “6.3 Mean Field Theory”Theorem 6.2 (Mean field approximation). In mean field theory, each spin feels an effective field due to its neighbours. Replacing by its average in the Hamiltonian:
Where is the coordination number (number of nearest neighbours). Each spin behaves as if in an effective field .
The self-consistency equation (mean field equation) is:
For : .
Critical temperature. Expanding for small :
For Dividing by :
At : .
6.4 Critical Exponents
Section titled “6.4 Critical Exponents”Near the critical point, thermodynamic quantities follow power laws:
Mean field theory predicts:
These are the classical critical exponents. They are independent of the spatial dimension and the lattice structure --- a deficiency of mean field theory. Exact results and renormalisation group calculations give dimension-dependent exponents that agree with experiment.
| Exponent | Mean Field | 2D Ising | 3D Ising |
|---|---|---|---|
| 0 (jump) | 0 (log) | 0.110 | |
| 1/2 | 1/8 | 0.326 | |
| 1 | 7/4 | 1.237 |
6.5 Worked Example: Mean Field Theory for the 2D Square Lattice
Section titled “6.5 Worked Example: Mean Field Theory for the 2D Square Lattice”Problem. For the 2D Ising model on a square lattice (), find in mean field theory and compare with the exact result .
Solution
Mean field: So .
Exact (Onsager, 1944): .
The mean field result overestimates by a factor of . This is because mean field theory overestimates the tendency toward ordering by neglecting thermal fluctuations. The error is larger in lower dimensions where fluctuations are more important.
6.6 Worked Example: Susceptibility above
Section titled “6.6 Worked Example: Susceptibility above TcT_cTc”Problem. Calculate the magnetic susceptibility above in mean field theory.
Solution
For small and Expand to first order in and :
Solving for :
This gives the mean field critical exponent .
6.7 Common Pitfalls
Section titled “6.7 Common Pitfalls”- Confusing the sign convention: is ferromagnetic, not antiferromagnetic.
- Mean field theory overestimates because it ignores fluctuations. The error grows in lower dimensions.
- The 1D Ising model has no phase transition, but the 2D model does (Onsager, 1944). Do not generalise the 1D result to higher dimensions.
- Critical exponents are universal (depend only on dimension and symmetry), not on lattice details.