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Mean Field Theory and Self-Consistency

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The Ising Model and Magnetic TransitionsOrder Parameters and Phase TransitionsFerromagnetism: Microscopic TheoryVan der Waals Equation from Statistical Mechanics
mean-field-theory self-consistency bragg-williams

Core Idea

Mean-field theory replaces interactions between all neighboring spins with an average interaction from a self-consistent field. This drastically simplifies the calculation: each spin sees an effective field proportional to the average magnetization. The approach correctly predicts second-order transitions and provides analytic critical exponents, though it overestimates T_c and misses fluctuation effects.

Explainer

You already know the Ising model: spins on a lattice, each ±1, with nearest-neighbor interaction energy −J Σ_{⟨ij⟩} σᵢσⱼ minus any external field term. The exact partition function is a sum over 2N configurations — intractable for large N in two or three dimensions. Mean-field theory cuts this knot with one bold approximation: replace the fluctuating neighbors of each spin with their average value.

Concretely, for spin i, replace the interaction with neighbor j by σᵢ(Jσⱼ) ≈ σᵢ(J⟨σ⟩) = σᵢ(Jm), where m = ⟨σ⟩ is the magnetization. Each spin now sees not the actual fluctuating neighbors, but a smooth effective field h_eff = zJm + h, where z is the number of neighbors and h is the external field. The many-body problem decouples into N independent single-spin problems — exactly solvable. Each spin's average value is m = tanh(βh_eff) = tanh(β(zJm + h)). This is the self-consistency equation: the magnetization m appears on both sides. Solving it determines the equilibrium state.

The self-consistency equation reveals the phase transition directly. Set h = 0 and ask when m = 0 is the only solution versus when nonzero solutions exist. Near m = 0, tanh(βzJm) ≈ βzJm − (βzJm)³/3 + …. A nonzero solution bifurcates when βzJ = 1, giving the critical temperature T_c = zJ/k_B. Above T_c, only m = 0 is stable (paramagnetic phase). Below T_c, two symmetric nonzero solutions ±m(T) appear, representing spontaneous magnetization. The order parameter grows as m ∝ (T_c − T)1/2 near T_c — the mean-field critical exponent β = 1/2. Similarly, the susceptibility diverges as χ ∝ |T − T_c|^{−1}, the correlation length exponent ν = 1/2. These are the Bragg-Williams mean-field exponents.

The fundamental failure of mean-field theory is that it ignores fluctuations. Near a critical point, fluctuations become large and long-ranged — this is precisely why critical phenomena are interesting. Mean-field theory treats each spin as seeing a uniform average, so it misses the correlated fluctuations that dominate near T_c. The Ginzburg criterion identifies when this approximation breaks down: mean-field is accurate when the dimension d > d_c (upper critical dimension, d_c = 4 for Ising). In d = 2, fluctuations are so strong that T_c is reduced from the mean-field value by roughly 30%, and the critical exponents are completely different (β = 1/8, not 1/2). Despite these failures, mean-field theory earns its place because it is analytically tractable, qualitatively correct about the *existence* and *type* of the transition, and the starting point for systematic corrections via renormalization group — the topic this builds toward through Landau theory.

Practice Questions 5 questions

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 PropertiesThe Canonical Partition Function and Thermodynamic DerivationFree Energy and Thermodynamic Relations from Partition FunctionsPhase Transitions and Equilibrium Phase DiagramsLandau Theory of Phase TransitionsSpontaneous Symmetry BreakingOrder Parameters and Phase TransitionsMean Field Theory and Self-Consistency

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