Drude Model of Conductivity

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conductivity free-electrons plasma-frequency

Core Idea

The Drude model treats free electrons in metals as experiencing a uniform friction force proportional to velocity. This yields a frequency-dependent conductivity σ(ω) with a characteristic plasma frequency ωₚ below which waves cannot propagate.

How It's Best Learned

Derive the equation of motion for electrons, solve for velocity response to oscillating field, and identify the plasma frequency. Show how conductivity diverges at ω=0 for collisionless case.

Explainer

You know from studying resistance and current that metals conduct electricity well because they contain free electrons that can move through the lattice. The Drude model (Paul Drude, 1900) puts a precise dynamical picture to this: treat the free electrons as classical point particles bouncing through a background of positive ions. Between collisions, electrons respond to the electric field. At each collision — occurring on average every time τ — an electron's momentum is randomized, effectively resetting it to zero drift velocity. This collision frequency γ = 1/τ acts like a velocity-proportional friction: the equation of motion for the average electron is m(dv/dt) = −eE − mγv.

At DC (ω = 0), this gives the DC conductivity σ₀ = ne²τ/m, where n is the electron density. This is the Drude result: higher electron density, longer collision time, or lighter electrons all increase conductivity. It correctly reproduces Ohm's law J = σE as an emergent relation from microscopic dynamics. For an AC electric field E = E₀e^(−iωt), the equation of motion has a steady-state solution v ∝ e^(−iωt), giving a frequency-dependent conductivity σ(ω) = σ₀/(1 − iωτ). At low frequencies (ωτ ≪ 1), σ ≈ σ₀ and the metal responds essentially as it does at DC. At high frequencies (ωτ ≫ 1), σ becomes purely imaginary — the response is inertial, not resistive.

The most striking consequence is the plasma frequency ωₚ = √(ne²/mε₀). This emerges when you write the dielectric function ε(ω) = 1 − ωₚ²/ω² (in the collisionless limit). When ε < 0 (for ω < ωₚ), the wave vector k becomes imaginary and electromagnetic waves cannot propagate — they are reflected or attenuated. When ε > 0 (for ω > ωₚ), waves propagate freely. This explains why metals are shiny and reflective at optical frequencies (below their plasma frequency) but become transparent to X-rays (far above it). The ionosphere's plasma frequency in the MHz range is why AM radio waves reflect off the upper atmosphere but higher-frequency signals (FM, GPS) pass through.

The Drude model's success is remarkable for its simplicity, but its failures are equally instructive. It predicts the wrong temperature dependence of conductivity, gets the heat capacity of metals wrong by a factor of ~100, and cannot explain semiconductors. These failures all point to the same root cause: electrons in metals are quantum objects obeying Fermi-Dirac statistics, not classical billiard balls. The Sommerfeld model (free electron gas with quantum statistics) fixes most of these issues while keeping the Drude spirit. Still, Drude's model captures the essential physics of optical response and plasma behavior with high-school-level mechanics, making it an indispensable first step.

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: KinematicsSimple Harmonic MotionDamped Harmonic OscillatorDrude Model of Conductivity

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