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The One-Dimensional Wave Equation

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Chain Rule for Multivariable FunctionsPartial Derivatives: Definition and Computation+1 moreDerivation of the Electromagnetic Wave EquationElastic Wave Propagation in Solids+7 more
waves pde mathematics

Core Idea

The wave equation ∂²u/∂t² = v²∂²u/∂x² describes how wave displacement evolves in space and time. Any function of the form u(x,t) = f(x - vt) + g(x + vt) satisfies this equation, representing waves traveling in both directions at speed v. This fundamental equation emerges from Newton's laws applied to continuous media and is the basis for understanding all linear wave phenomena.

How It's Best Learned

Derive it for a vibrating string using force balance on a small element. Then verify that sinusoidal and simple linear functions satisfy it.

Common Misconceptions

The wave equation is not the same as the equation of motion for a simple harmonic oscillator—the double spatial derivative encodes how neighboring regions couple.

Explainer

You already know how to take partial derivatives and how the chain rule handles composite functions. The 1D wave equation, ∂²u/∂t² = v²∂²u/∂x², is a partial differential equation (PDE) that connects the second derivative of a field u (displacement, pressure, electric field) in time to its second derivative in space. The constant v is the wave speed — a property of the medium, not the wave itself.

The cleanest way to understand the equation is to derive it from a physical model. Imagine a flexible string under tension T with mass per unit length μ. Consider a tiny segment of the string at position x. The net upward force on the segment comes from the difference in tension pulling on its two ends — proportional to the curvature ∂²u/∂x² of the string times the tension T. By Newton's second law, this equals the segment's mass (μ·dx) times its acceleration ∂²u/∂t². Rearranging gives ∂²u/∂t² = (T/μ)·∂²u/∂x², which is the wave equation with v = sqrt(T/μ). The double spatial derivative is not an accident — it captures how neighboring string segments are coupled through tension.

The general solution is d'Alembert's formula: u(x, t) = f(x − vt) + g(x + vt) for any twice-differentiable functions f and g. You can verify this by direct substitution: the chain rule gives ∂²f(x − vt)/∂t² = v²f''(x − vt) and ∂²f(x − vt)/∂x² = f''(x − vt), so the equation is satisfied. The function f(x − vt) represents a disturbance of any shape traveling in the +x direction at speed v — a Gaussian pulse, a triangular bump, or a sine wave all work equally well. The function g(x + vt) travels in the −x direction. The superposition of both represents the most general wave pattern.

A key misconception to avoid: the wave equation is not the simple harmonic oscillator (SHO) equation written in two variables. The SHO, d²x/dt² = −ω²x, governs a single point bobbing up and down — it has no spatial structure. The wave equation describes how disturbances at one location propagate to neighboring locations because of the ∂²u/∂x² coupling term. A localized pulse at x=0 at t=0 can arrive at x=10 later; this spatial propagation is precisely what the double spatial derivative encodes, and it is entirely absent from the SHO equation.

Sinusoidal solutions — harmonic waves of the form A·sin(kx − ωt) — are special cases of the general solution where f(x − vt) = A·sin(k(x − vt)) with ω = kv. These will be the building blocks for analyzing reflection, interference, and standing waves in subsequent topics. The wave equation's linearity means solutions can be superposed freely — two waves can pass through each other without interaction, each obeying the equation independently.

Practice Questions 3 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 DefinitionFundamental Theorem of Calculus Part 1Fundamental Theorem of Calculus Part 2U-SubstitutionSeparable Equations (Intro)Separable Differential EquationsIntegrating Factor Method for First-Order Linear ODEsFirst-Order Linear Ordinary Differential EquationsSecond-Order Linear Homogeneous Differential EquationsCharacteristic Equation Method for Linear ODEsRepeated Roots and Reduction of OrderWronskian and Linear IndependenceMethod of Undetermined CoefficientsHigher-Order Linear Differential EquationsSystems of First-Order Linear Differential EquationsSeparation of Variables for Partial Differential EquationsThe Wave Equation and Vibrating StringsThe One-Dimensional Wave Equation

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