Pair Distribution Function

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Core Idea

The pair distribution function g(r) describes the probability of finding two particles at separation r relative to random distribution: g(r) = 1 for uncorrelated particles and deviates at short range where interactions dominate. It encodes all two-body spatial correlations and can be measured experimentally via X-ray or neutron scattering.

Explainer

The pair distribution function is the answer to a simple question: if I stand on one particle, how likely am I to find another particle at distance r? Specifically, g(r) is defined so that ρg(r) gives the local number density at distance r from a reference particle, where ρ is the bulk average density. If particles were uncorrelated and randomly placed (an ideal gas), g(r) = 1 everywhere — the local density equals the bulk density regardless of where you look. Any deviation from 1 is a signature of real spatial correlations driven by interactions or quantum statistics.

You already know two-point correlation functions from your prerequisite study: they measure how the value of a quantity at one point depends on its value at another. The pair distribution function is precisely the two-body density-density correlation. From the canonical ensemble, it's defined as the normalized probability of simultaneously finding a particle near position r and another near the origin, averaged over all particle pairs and thermal fluctuations. In an isotropic fluid, g depends only on the scalar distance r, not the direction — hence the name *radial* distribution function when applied to liquids.

The shape of g(r) encodes the physical character of the material. For a hard-sphere fluid, g(r) = 0 for r < σ (two hard spheres simply cannot overlap), then rises sharply from zero at r = σ as the excluded volume ends. The first peak at r ≈ σ tells you that nearest-neighbor shells are densely packed. Subsequent oscillating peaks at r ≈ 2σ, 3σ, … correspond to second, third, and further neighbor shells. These oscillations decay away over a few particle diameters in a liquid; in a crystal they persist to infinite range. A gas shows no structure beyond r ≈ σ because particles are too dilute to maintain neighbor shells.

The great practical value of g(r) is its connection to experiment and to thermodynamic quantities. The static structure factor S(k), measured directly by X-ray and neutron scattering, is related to g(r) by a Fourier transform: S(k) = 1 + ρ∫[g(r) − 1]e^{ik·r}d³r. Scattering experiments thus give you g(r) directly from the diffraction pattern. Conversely, once you have g(r), you can compute the equation of state, the pressure, and the internal energy through the virial expansion and related formulas — making g(r) the central structural quantity linking microscopic pair interactions to macroscopic thermodynamic properties.

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 PropertiesTwo-Point Correlation FunctionsPair Distribution Function

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