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Mean Field Theory

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Ising Model FundamentalsLandau Theory of Phase TransitionsFerromagnetism and Heisenberg ModelRenormalization Group: Introduction
approximation phase-transitions critical-behavior

Core Idea

Mean field theory replaces the interaction of each spin with a mean field ⟨σ⟩, decoupling the many-body problem. Each spin obeys a single-site effective Hamiltonian. It predicts critical exponents matching Landau theory and provides exact results for infinite-dimensional systems, but overestimates order-parameter fluctuations and critical exponent values.

Explainer

The central difficulty in the Ising model is that each spin interacts with its neighbors, whose states are themselves fluctuating and correlated with their own neighbors. The interactions couple all the spins together into a genuine many-body problem with no simple exact solution in most dimensions. Mean field theory cuts through this complexity with a bold approximation: replace the fluctuating influence of a spin's neighbors with their average value. Each spin then sees a fixed effective field proportional to the average magnetization ⟨σ⟩, decoupling the problem into N independent single-site problems.

Concretely, for an Ising spin σ_i with z nearest neighbors each carrying average magnetization m = ⟨σ⟩, the effective Hamiltonian for site i is H_eff = −(Jzm + h)σ_i, where J is the coupling constant and h is an external field. This is just a single spin in an effective magnetic field B_eff = Jzm + h. The self-consistent equation for m follows from computing ⟨σ⟩ in this effective field and requiring it to equal m: m = tanh(β(Jzm + h)). This self-consistency equation is the heart of mean field theory — it must be solved simultaneously for m, since m appears on both sides.

At high temperature, the only solution is m = 0 (paramagnetic phase). Below a critical temperature T_c = Jz/k, a nontrivial solution m ≠ 0 appears spontaneously — spontaneous symmetry breaking occurs. Near T_c, the order parameter grows as m ∝ (T_c − T)1/2, giving a mean field critical exponent β = 1/2. This matches exactly the prediction of Landau theory, which is no coincidence: both approaches neglect fluctuations in the same way. The connection to Landau theory is direct — expanding the free energy in powers of m near T_c reproduces the Landau form with coefficients determined by the microscopic Ising parameters.

The fundamental weakness of mean field theory is its neglect of fluctuations. Near the critical point, correlations between spins extend over the entire system (the correlation length diverges), and the actual interaction with neighbors is wildly different from the average. In low-dimensional systems (d = 1, 2), fluctuations are so strong that they qualitatively change the physics — the 1D Ising model has no phase transition at finite temperature, despite mean field theory predicting one. Mean field theory becomes exact only when every spin interacts with infinitely many others (infinite dimensions, or infinite-range interactions), so that the central-limit-theorem-like averaging is valid. In physical 3D systems, it gives qualitatively correct phase diagrams but quantitatively wrong critical exponents — the true exponents are calculated via the renormalization group.

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Prerequisite Chain

Understanding ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersDividing IntegersUnit RatesProportionsPercent ConceptConverting Between Fractions, Decimals, and PercentsOperations with Rational NumbersTwo-Step EquationsSolving Multi-Step EquationsEquations with Variables on Both SidesAngle Pairs: Complementary, Supplementary, and VerticalParallel Lines and TransversalsCorresponding AnglesAlternate Interior AnglesTriangle Angle Sum TheoremExterior Angle TheoremTriangle Inequality TheoremSimilar Triangles: AA SimilaritySimilar Triangles: SSS and SAS SimilarityProportions in Similar TrianglesRight Triangle Trigonometry IntroductionSine, Cosine, and Tangent RatiosTrigonometric Ratios ReviewRadian MeasureConverting Between Degrees and RadiansThe Unit CircleGraphing Sine and CosineGraphing Tangent and Reciprocal Trigonometric FunctionsDerivatives of Trigonometric FunctionsAntiderivativesIndefinite IntegralsBasic Integration RulesRiemann SumsDefinite Integral DefinitionDouble Integrals: Definition and SetupIterated Integrals and Fubini's TheoremDouble Integrals over Rectangular RegionsDouble Integrals over General RegionsApplications of Double Integrals: Area, Mass, and MomentsTriple Integrals in Cartesian CoordinatesTriple Integrals in Cylindrical and Spherical CoordinatesChange of Variables and the Jacobian DeterminantApplications of Triple Integrals: Volume and MassVector Fields and Their RepresentationsLine Integrals of Vector FieldsWork and CirculationLine Integrals of Scalar and Vector FunctionsFundamental Theorem for Line IntegralsConservative Vector FieldsConservative Vector Fields and Potential FunctionsCurl and Divergence of Vector FieldsCurl and DivergenceDivergence TheoremElectric Flux and Divergence TheoremGauss's Law: Integral Form and MeaningSolving Problems with Gauss's LawConductors in Electrostatic EquilibriumCapacitance and CapacitorsDielectricsDielectric Constant and Relative PermittivityElectric Field Inside Dielectric MaterialsDielectric Materials and PolarizationDielectric Susceptibility and PermittivityEnergy Density in Electric FieldsElectric Current and Current DensityElectrical Resistance and ResistivityOhm's Law and Circuit ElementsElectromotive Force (EMF) and BatteriesKirchhoff's Circuit Laws: Voltage and CurrentDC Circuit Network Analysis MethodsTransient Response in RC CircuitsRC CircuitsLC and RLC CircuitsAC Circuits: FundamentalsImpedance and ReactanceAC Power and ResonanceElectromagnetic WavesPostulates of Special RelativityTime DilationLength ContractionLorentz TransformationRelativistic Velocity AdditionRelativistic Momentum and EnergyMass-Energy Equivalence and E=mc²Photons as Particles with Energy and MomentumPlanck-Einstein Relation: Energy and FrequencyPhotoelectric EffectThe Photon: Light as QuantaCompton ScatteringWave-Particle Dualityde Broglie WavelengthThe Schrödinger EquationState Vectors and WavefunctionsQuantum SuperpositionQuantum EntanglementBell Theorem and Bell InequalitiesPostulates of Quantum MechanicsObservables and Quantum OperatorsCommutators and Commutation RelationsQuantum Angular MomentumQuantum Mechanical Treatment of HydrogenSolving the Schrödinger Equation for Hydrogen AtomQuantum NumbersElectron ConfigurationPeriodic TrendsCovalent BondingElectronegativity and Bond PolarityIonic BondingLewis StructuresVSEPR Theory and Molecular GeometryMolecular Geometry and Electron Pair GeometryMolecular Polarity and Dipole MomentsIntermolecular ForcesStates of Matter and Phase Changes: Melting, Boiling, and SublimationGas Laws and the Ideal Gas EquationGas Stoichiometry and Volume-Volume CalculationsThermochemistry and EnthalpyHeat Capacity and CalorimetryEntropy and Molecular DisorderSpontaneity and ΔGEntropy and Gibbs Free EnergyChemical EquilibriumStatistical Mechanics: Ensembles and the Boltzmann DistributionPartition Function: Definition and PropertiesHelmholtz Free EnergyGibbs Free EnergyPhase Transitions: First Order and Second OrderCritical Phenomena and Critical ExponentsLandau Theory of Phase TransitionsMean Field Theory

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