The Ising model assigns spins to graph vertices with probability proportional to in zero external field.
For the infinite one-dimensional coupling matrix with , its Fourier symbol is . Its inverse is nearest-neighbor even though the original interaction is not. The inverse quadratic form equals . Finite open chains add endpoint corrections; a periodized coupling gives the same translation-invariant formula.
For , the open-chain Ising model coupling , , has a tridiagonal inverse. Its endpoint diagonal entries are , its interior diagonal entries are , and adjacent off-diagonal entries are . Direct matrix multiplication verifies the inverse because the geometric sequences cancel in every interior row. The displayed quadratic form follows with , and . For , and . Omitting the endpoint term requires an infinite chain, a correctly periodized coupling, or a bulk thermodynamic limit.
A fixed Ising boundary condition pins the Ising spins on a specified boundary, leaving the interior distributed with the original interaction weights. The boundary can be the inner graph vertex boundary of a finite box, or an exterior neighboring set if that convention is explicitly chosen. Conditioning on pinned Ising spins preserves the FKG lattice condition of a ferromagnetic Ising model. The FKG inequality then makes interior expectations of increasing observables nondecreasing in the pinned boundary Ising spins.
For the ferromagnetic binary Ising model, all-zero boundary measures increase and all-one boundary measures decrease as boxes exhaust the lattice, in stochastic domination. The nearest-neighbor spatial conditional probability distribution reduces each domain comparison to a mixture of boundary conditions for the smaller box. Probabilities that a specified finite set is all one consequently converge; inclusion-exclusion gives convergence of every finite Ising spin pattern. Their consistent limits define the two extreme infinite-volume measures. Existence does not assert that the two limits coincide.
With the convention , positive favors opposite neighboring Ising spins. On a bipartite graph, the Néel order parameter measures opposite sublattice magnetizations; it is distinct from the uniform magnetization. Changing the signs of spins on one sublattice maps the zero-field model to the ferromagnetic Ising model.
On a regular bipartite graph with coordination number , replace each bond product by . For sites there are bonds, so the constant in the effective Hamiltonian is . The mean-field self-consistency equations are and . At zero fields the antisymmetric branch has a continuous mean-field Ising critical bifurcation at .
On the stable zero-field branch , put . Differentiating the two-sublattice Ising mean-field approximation with respect to the uniform field gives and . Thus and . The true staggered magnetic susceptibility, , is a different response and diverges at the continuous transition. The factor is essential: the uniform response vanishes when the spins saturate at zero temperature.
Here . This free-energy density is the energy minus temperature times entropy of independent sublattice Ising spins. Since , stationarity yields the two-sublattice Ising mean-field approximation. Writing , the quadratic coefficients are for and for . The positive quartic coefficient in the staggered direction stabilizes the continuous transition. Unlike a log-cosh auxiliary potential, this variational expression can be minimized away from self-consistency.
For on a finite graph, assume . Let and . The displayed difference is : all other edge terms and all field terms cancel. Exponentiating proves the FKG lattice condition and hence positive association of random variables for this Ising model.
An Ising Ising spin variable is a classical two-state degree of freedom. Its thermal mean can lie anywhere in even though each microscopic value is or . It should not be confused with an arbitrary quantum-spin operator. Products of neighbouring Ising spins supply the pair interactions of the Ising model, and their average defines spin magnetization.
The mean-field approximation neglects products of Ising spin deviations, replacing each Ising spin's neighbours by the common spin magnetization. With coordination number of a lattice , the effective field is . The self-consistency equation equates the assumed mean Ising spin with its independent-spin expectation in that effective field. It predicts and the usual quartic mean-field critical exponents, while neglecting spatially correlated fluctuations.
For a ferromagnetic Ising model with coordination number of a lattice , its mean-field self-consistency equation is . Put . For , the only solution is zero. For , strict concavity of on gives one positive solution and its spin-reversed partner. Expanding gives , proving a continuous onset with order-parameter critical exponent . The Bragg-Williams free energy of the Ising model has a positive quartic coefficient at , so these are the stable ordered minima rather than a first-order jump.
A product trial distribution with actual mean Ising spin givesIts entropy is the sum of independent-spin entropies, with . Differentiation gives , the self-consistency equation. The variational mean parameter is distinct from the assumed field parameter of the Ising auxiliary mean-field free energy until the equilibrium condition is imposed.
The approximate partition function obtained by decoupling each Ising bond has this free energy. The quadratic constant compensates double counting. Its stationary condition is the self-consistency equation; away from stationarity parametrizes the assumed effective field and need not equal that distribution's mean Ising spin. It agrees at stationary points with the Bragg-Williams free energy of the Ising model, although their off-equilibrium expansions differ.
The zero-field ferromagnetic Curie–Weiss model is an Ising model on spins with an equal interaction between every pair. For and , its normalized probability mass function is . The partition function sums these weights over all configurations. The square includes constant diagonal terms; these affect only normalization. Spin inversion symmetry makes every spin's expected value zero, while grouping configurations by their spin magnetization givesHere , .
For nearest-neighbour interactions, a two-by-two transfer matrix assigns one Boltzmann factor to every adjacent spin pair. With periodic boundary conditions, summing all spin configurations gives the partition function as the trace of a power of this matrix.
The Blume–Capel model is a spin model with and HamiltonianCompetition between the Ising interaction and the single-ion anisotropy produces a tricritical point in its phase diagram.
For ferromagnetic exchange and coordination , the mean-field approximation has . With and , its quadratic and quartic coefficients vanish at , . The sextic coefficient of is . Hence and ; these are not exact finite-dimensional lattice values.
Glauber dynamics is a local Markov chain for a spin system. In its heat-bath form, each step chooses one vertex and resamples that spin from its conditional Gibbs distribution given all other spins.
A free boundary condition retains only interactions whose endpoints both lie in the finite volume and imposes no exterior spin values.
A plus boundary condition fixes every exterior spin adjacent to the finite volume to . The increasing-volume limit selects the maximal infinite-volume Gibbs state.
A Peierls contour is a dual-lattice boundary separating clusters of opposite Ising spins. Flipping the spins inside a contour of size changes its Boltzmann weight by the factor .
For the zero-field nearest-neighbour Ising model on ,More generally, an even ordered product factors over alternating gaps.
Spontaneous magnetization is the magnetization that remains after taking the thermodynamic limit and then sending a symmetry-breaking external field to zero.
A random-bond Ising model has couplings whose signs or magnitudes vary between edges according to quenched disorder. Negative bonds frustrate neighboring spins that would otherwise align.
The transverse-field Ising model is a quantum spin model with competing Ising exchange and a perpendicular field, for example . In one dimension its ordered and paramagnetic phases meet at .
For positive ferromagnetic exchange and nonnegative transverse field, the Ising-chain quasiparticle dispersion closes its gap at , with . This is the quantum phase transition between the model's ordered and field-polarized regimes. The exact dispersion identifies the gapless scale; computing its order parameter additionally requires ground-state correlations.
For a paired non-self-conjugate momentum, rotate the Ising-chain Nambu spinor by an angle with , and . Opposite angles at preserve the canonical anticommutation relations. The result is . Self-paired momenta have no pairing and are handled directly as number levels. Periodic spin-chain sectors additionally constrain fermion parity and allowed mode quantization.
The vacuum of the diagonal Bogoliubov quasiparticles has the displayed energy. In the thermodynamic bulk, . The Hellmann–Feynman theorem then gives the field magnetization . Sector-dependent finite-chain boundary terms must be restored when exact finite-size levels are needed.
For nonnegative field , the bulk quasiparticle gap is . At the dispersion is flat, ; at large it is . At it becomes , linear near the gapless point. The finite periodic spin chain has additional global excitation constraints; a single isolated domain wall is not an allowed closed-chain spin configuration.
Articles by others on the same topic
The Ising model is a mathematical model in statistical mechanics and condensed matter physics that is used to understand phase transitions, particularly ferromagnetism. Developed in the early 20th century by physicist Ernst Ising, the model simplifies the complex interactions in a material by considering a lattice (or grid) of discrete units, known as spins.
Toy model of matter that exhibits phase transition in dimension 2 and greater. It does not provide numerically exact results by itself, but can serve as a tool to theorize existing and new phase transitions.
As mentioned at: stanford.edu/~jeffjar/statmech/intro4.html some systems which can be seen as modelled by it include:
- the spins direction (up or down) of atoms in a magnet, which can undergo phase transitions depending on temperature as that characterized by the Curie temperature and an externally applied magnetic fieldNeighboring spins like to align, which lowers the total system energy.
- the type of atom at a lattice point in a 2-metal alloy, e.g. Fe-C (e.g. steel). TODO: intuition for the neighbor interaction? What likes to be with what? And aren't different phases in different crystal structures?
Also has some funky relations to renormalization TODO.
Bibliography:
The Ising Model in Python by Mr. P Solver
. Source. The dude is crushing it on a Jupyter Notebook.