Mean Field Theory and Self-Consistency

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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 2^N 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

Counting to 10Counting to 20Understanding ZeroThe Number ZeroCounting to FiveOne-to-One CorrespondenceCombining Small Groups Within 5Addition Within 10Addition Within 20Two-Digit Addition Without RegroupingTwo-Digit Addition with RegroupingAddition Within 100Repeated Addition as MultiplicationMultiplication 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 100Two-Digit by One-Digit DivisionDivision with RemaindersRemainders and Quotients in DivisionDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueReading and Writing DecimalsComparing and Ordering DecimalsAdding and Subtracting DecimalsMultiplying DecimalsDividing DecimalsDividing FractionsMixed Number ArithmeticOrder of OperationsInteger Order of OperationsVariable ExpressionsCombining Like TermsOne-Step EquationsTwo-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 IntroductionTrigonometric Ratios ReviewRadian MeasureConverting Between Degrees and RadiansThe Unit CircleGraphing Sine and CosineGraphing Tangent and Reciprocal Trigonometric FunctionsDerivatives of Trigonometric FunctionsAntiderivativesIterated Integrals and Fubini's TheoremDouble Integrals in Cartesian CoordinatesDouble Integrals over Rectangular RegionsDouble Integrals in Polar CoordinatesDouble Integrals: Definition and SetupIterated Integrals and Fubini's TheoremDouble Integrals over Rectangular RegionsDouble Integrals over General RegionsApplications of Double Integrals: Area, Mass, and MomentsCenter of MassConservation of Linear MomentumElastic CollisionsInelastic CollisionsCoefficient of RestitutionCollision Analysis and Real-World ApplicationsTwo-Body Collisions in the Center-of-Mass FrameReduced Mass and Two-Body ProblemsKinematics in Two DimensionsProjectile MotionCircular Motion: KinematicsRotational KinematicsTorqueMoment of InertiaRotational Kinetic EnergyThe Work-Energy TheoremConservation of Mechanical EnergyFirst Law of ThermodynamicsThermodynamic Processes and the PV DiagramIsobaric and Isochoric ProcessesHeat EnginesThermal Efficiency of Heat EnginesRefrigerators and Heat PumpsSecond Law of ThermodynamicsEntropyMicrostates and MacrostatesEnsemble Theory FundamentalsCanonical Ensemble (NVT)Partition Function: Definition and PropertiesThe Canonical Partition Function and Thermodynamic DerivationFree Energy and Thermodynamic Relations from Partition FunctionsPhase Transitions and Equilibrium Phase DiagramsSpontaneous Symmetry BreakingOrder Parameters and Phase TransitionsMean Field Theory and Self-Consistency

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