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Wave Equation Representation Formulas — Examples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Determinants of Matrices over a Commutative Ring
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Euclidean Surface Measure, Divergence, and Green Identities
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Probability and the Probabilistic Method
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Harmonic Functions and Mean Values in Rn
- Hausdorff via the Diagonal
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Improper and Parameter-Dependent Multiple Integrals
- Improper Integrals
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Normed and Banach Spaces
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- Partial Differential Equations and Characteristics
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Product Measures and the Fubini Tonelli Theorems
- Properties of the Integral and the Working FTC
- Radon Measures and the Riesz Markov Kakutani Theorem
- Regular Surfaces and Surface Integrals
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Smooth Partitions of Unity and Exhaustions
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Divergence Theorem and Classical Stokes
- The Exponential Function
- The Fundamental Theorems of Calculus
- The Gamma Function
- The Inverse and Implicit Function Theorems
- The Inverse Function Theorem Completed
- The Lebesgue and Riemann Integrals Compared
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Maximal Function and Lebesgue Differentiation
- The Real Gamma and Beta Functions
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
- Volumes of Elementary Solids and Solids of Revolution
- Wave Equation Representation Formulas
2 · Summary
These companions illustrate and test the representation formulas of the main page. Travelling waves are exhibited as the general one-dimensional solution, the constant-data Kirchhoff check pins the normalisation of the sphere averages, and the radial three-dimensional reduction shows how radial data are propagated by the one-dimensional formula. The two counterexamples sharpen the hypotheses: data on a single characteristic line do not determine a one-dimensional wave, and replacing the sphere measure of Kirchhoff's formula by the ball measure with the sphere-area factor produces a false solution already on constant data. The remaining examples compute the expanding plateau from a compactly supported velocity datum, the interior tail of the two-dimensional wave, the uniform expanding front produced by a point source in three dimensions, and the different supports produced by pure displacement and pure velocity data.
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
Right- and left-travelling waves
Example
Fix ; no choice principle is needed in this example. Let and put . Then is a solution of on , with Conversely every solution on a rectangle has this form (General solution of the one-dimensional wave equation). Two checks: (i) for a compactly supported bump and , the profile translates to the right at speed without changing shape; (ii) the data are exactly those fed into d'Alembert's formula and uniqueness in one dimension, whose expression reproduces .
Facts & Assumptions
Given: a speed , functions , and .
If is totally differentiable at and at , then is totally differentiable at with (The chain rule for total derivatives: ). The required total differentiability follows from continuous coordinate partial derivatives (If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative).
Sums, constant multiples of differentiable functions are differentiable with the usual rules (Sums, scalar multiples, products and quotients: , , , and when ).
Every solution of on a nonempty open rectangle is a sum with on the projections, and conversely (General solution of the one-dimensional wave equation).
With data , the d'Alembert expression of d'Alembert's formula and uniqueness in one dimension equals ; the integrals of and are evaluated by the fundamental theorem of calculus (Every continuous function on an interval has a primitive; two primitives differ by a constant; and for any primitive ).
Verification
Substitution. By [F1] and [F2], is , , and , so on ; at the displayed data are read off directly.
Check (i). If then ; for each fixed the graph of is the graph of translated by , so the profile moves to the right at speed with its shape unchanged.
Check (ii). The d'Alembert expression with data is by [F4], and the -terms and -terms collapse to .
By [F3] the converse holds on every nonempty open rectangle, so the sum of a right- and a left-moving profile is exactly the general one-dimensional solution, and the d'Alembert formula returns it from its data.
A compactly supported velocity datum produces an expanding interval
Example
Let , , and . Although this indicator is not in the classical data class of d'Alembert's formula and uniqueness in one dimension, its displayed integral expression extends directly to this bounded datum and gives i.e. the length over of the overlap of the moving interval with the data interval. For the nonzero set is exactly and its topological support is the closed interval ; at the profile is identically zero and its support is empty. Once , the profile equals throughout ; the two wavefronts travel outward at speed and the disturbance never reaches .
Facts & Assumptions
Given: a speed , a half-width , the data , , and the displayed function .
For admissible data, the d'Alembert expression is the unique classical solution (d'Alembert's formula and uniqueness in one dimension); its velocity integral is well defined for the bounded compactly supported indicator used here as well.
Verification
Substituting into the velocity integral gives , since the integral of the indicator is the overlap length. For smooth admissible approximations, the same d'Alembert expression is a classical solution by [F1].
Nonzero set and plateau. For , the overlap has positive length exactly when and , that is ; its closure, the topological support, is . At the moving interval is a singleton, so the overlap has length zero for every and the support is empty. The overlap is the full data interval, of length , when (which requires ), giving value there.
The formula therefore has expanding nonzero set for , closed support , zero support at , and the stated full-data plateau when .
A radial three-dimensional wave reduces to one dimension
Example
Let and let be a radially symmetric function on satisfying there. Then, with and , so solves the one-dimensional wave equation on the half-line. Conversely, if satisfies on and for all , then extends to a radial solution of the three-dimensional equation with . This is why radial three-dimensional data can be propagated by the one-dimensional formula, with the boundary condition encoding continuity at the origin.
Facts & Assumptions
Given: a speed ; a radial solution on in the forward direction; and, in the converse direction, a function with on and for all .
The chain rule computes the iterated partial derivatives of a composition (The chain rule for total derivatives: ). The required total differentiability follows from continuous coordinate partial derivatives (If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative).
Sums, products, quotients of differentiable functions are differentiable with the usual rules (Sums, scalar multiples, products and quotients: , , , and when ); the one-dimensional wave operator and the radial three-dimensional wave operator are the operators named in Wave equation, Cauchy data and wave speed.
Verification
Forward direction. For a radial function , , the chain rule gives and for each , so by the product rule. Therefore and, since , the one-dimensional equation follows.
Converse direction, regularity at the origin. Suppose solves on and for all . By Every continuous function on an interval has a primitive; two primitives differ by a constant; and for any primitive and , , hence ; as , Leibniz's rule on a compact rectangle: an interior parameter derivative with a continuous extension may be passed through a Riemann integral applied locally to each derivative permits differentiation under the integral and shows that with and , the last equality because by continuity of the equation up to and .
The equation extends to the origin. For the product rule gives , and , so the radial three-dimensional Laplacian of is . For the limits at , the integral formulas and , since , give and , so that ; hence . On the other hand, differentiating in and letting gives . These limits are uniform for in compact intervals by continuity of the derivatives of . For , , and both and tend to , so extends continuously with this value times . The gradient is and is differentiable at by the same limits. Also implies ; hence , agreeing with the derivative in of . Together with the integral formula for , this proves is on and satisfies at every point, including the origin, where both sides equal .
Both directions are proved: a radial three-dimensional solution corresponds to a one-dimensional solution on the half-line, and a one-dimensional solution vanishing at gives back a radial three-dimensional solution, so radial three-dimensional data may be propagated by the one-dimensional formula.
Constant initial velocity in three dimensions
Example
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let , let and be constant. Then the Kirchhoff expression of Kirchhoff's formula in three dimensions is since a constant has spherical mean itself. This satisfies , and , and the spherical means , use the normalisation of Spherical means and the weighted ball integral of space-dependent data. Replacing the average by an unnormalised integral of the data over the sphere would multiply by , so the check pins the factor in the constant.
Facts & Assumptions
Given: Countable Choice, , constants , and the means , .
The spherical mean of a constant is for every , because the defining integral is normalised by , and likewise for (Spherical means and the weighted ball integral of space-dependent data).
The Kirchhoff expression defines a solution of on (Kirchhoff's formula in three dimensions).
The Kirchhoff expression attains its data in the limit sense (The dimension formulas attain the Cauchy data); uniqueness in the class of solutions is left to the energy statement of the wave-energy page.
Verification
Means and expression. By [F1] the means are constant, and , so the Kirchhoff expression becomes ; this is , satisfies and has the prescribed values , .
Normalisation check. A constant has mean itself on the sphere, so any unnormalised sphere integral would equal times the mean for constant on the sphere of radius ; the constant-data check therefore detects exactly that factor, confirming the normalisation in the Kirchhoff expression.
A two-dimensional interior tail
Example
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let , and choose a nonnegative with , for example the bump equal to one on supplied by A smooth bump between concentric Euclidean balls. Fix and : the support of is strictly inside the disk , and it is disjoint from the sphere . Poisson's formula of Poisson's formula in two dimensions by descent gives because the weight is strictly positive on the interior and is positive on a set of positive measure. Thus the value at time is affected by data strictly inside the wavefront: the two-dimensional solution has an interior tail, in contrast to the three-dimensional evaluation depending on data near the sphere only, as recorded in Sphere-supported versus interior-supported free wave kernels.
Facts & Assumptions
Given: Countable Choice, , , and a nonnegative smooth compactly supported datum with .
Poisson's formula for , reads for (Poisson's formula in two dimensions by descent with by Spherical means and the weighted ball integral of space-dependent data).
The odd-dimensional evaluation depends on the data through a neighbourhood of the sphere , while in even dimensions data supported strictly inside the ball contribute (Sphere-supported versus interior-supported free wave kernels).
Verification
At , , [F1] gives . The integrand is nonnegative, the weight is strictly positive and bounded below by (and above by ) on the support of , and is positive on a set of positive measure; hence the integral is strictly positive.
The support of lies strictly inside and is disjoint from , so the value is produced by data at distance at most from the origin, strictly behind the wavefront of radius ; by [F2] this is exactly the two-dimensional interior tail, in contrast with the odd-dimensional evaluation, which reads the data near the sphere.
Replacing the sphere measure by the ball measure in Kirchhoff's formula
Statement refuted
Statement refuted. "In the three-dimensional Kirchhoff formula one may replace the sphere measure on by Lebesgue measure on the ball while keeping the sphere-area factor, i.e. still solves the Cauchy problem; the sphere area and the ball volume are interchangeable normalisations."
Facts & Assumptions
Given: Countable Choice, , and the refuted expression displayed above.
The Kirchhoff expression's solution for constant data is ; in particular gives and gives (Constant initial velocity in three dimensions, Kirchhoff's formula in three dimensions).
Sums, products, constant multiples of differentiable functions are differentiable with the usual rules (Sums, scalar multiples, products and quotients: , , , and when ).
Counterexample
Constant displacement. Take , . The correct solution is by [F1], whereas replacing the surface integral by a ball integral in the actual Kirchhoff expression gives . Its displacement limit is zero for every , so it fails to attain . It also has velocity limit , instead of zero.
Constant velocity. Take , . The correct solution is by [F1], whereas the refuted expression gives . Its velocity limit is zero, not one, and its second time derivative is while its spatial Laplacian is zero. Thus it fails both the Cauchy data and the homogeneous wave equation for every .
The sphere-area normalisation converts a surface integral into the spherical mean. A ball integral divided by that same area instead returns times the datum when it is constant. Keeping the factors of Kirchhoff's formula then gives the two incorrect functions above. Hence sphere area and ball volume cannot be interchanged in that formula.
Data on one characteristic line do not determine a one-dimensional wave
Statement refuted
"Prescribing and its first derivatives along a single characteristic line (equivalently ) determines the solution of near that line."
Facts & Assumptions
Given: a speed , the characteristic coordinates , of Factorisation of the one-dimensional wave operator, and the two functions , .
On a nonempty open rectangle every solution of has the form with on the projections, and every such sum is a solution; the pair is unique up to , (General solution of the one-dimensional wave equation).
Counterexample
Reading the general solution on the line : if , then , and . Thus the line data determine the function up to an additive constant and the number ; retains the common additive-shift freedom, but leave the function away from completely free; by [F1] every solution near the line has this form.
The witness pair. Both and are sums of a function of and a function of , hence solutions by [F1]. On their traces agree: , and coincide at , and and coincide there as well.
However is nonzero for every , so the two solutions differ at points of every neighbourhood of the line ; hence data on the characteristic line do not determine the solution. This exhibits failure of uniqueness for these characteristic line data.
Therefore the displayed statement is refuted: the same values of on the single characteristic line are shared by two solutions that disagree on every neighbourhood of it.
A point source produces a uniform expanding sphere
Example
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let and fix . Choose a nonnegative with (normalise a nonnegative bump from A smooth bump between concentric Euclidean balls), and put . Then is a smooth unit-mass velocity datum supported in , and the Kirchhoff solution with is . As , for every continuous test function , so the limiting mass spreads uniformly over the sphere of radius : the point source at the origin produces, at time , the uniform probability measure on the expanding sphere, scaled by . Equivalently the limiting surface density is per unit area, whose total against the area is .
Facts & Assumptions
Given: Countable Choice, , , a nonnegative with unit integral, the rescaled datum , and a continuous test function .
With the Kirchhoff solution is , a solution attaining the data (Kirchhoff's formula in three dimensions, The dimension formulas attain the Cauchy data).
The spherical mean is the normalised sphere integral, (Spherical means and the weighted ball integral of space-dependent data, Sphere and ball measures scale in Rn with ).
For integrable on the product of a compact set with , the order of integration may be interchanged (Fubini's theorem for L^1 functions on a sigma-finite product).
The map is continuous near : parameterizing it as , uniform continuity of on a compact ball gives continuity. Also by linear change of variables and ; the sphere scaling at is Sphere and ball measures scale in Rn. The change of variables and compactness and uniform-continuity inputs are A linear map of sends Lebesgue measurable sets to Lebesgue measurable sets, with when is invertible and Lebesgue null when it is not, For , every Euclidean closed ball and every Euclidean sphere of positive radius is compact and Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous, respectively.
Verification
Fubini on a fixed product. By [F1], . The integrand vanishes unless , where is bounded; the absolute integrand is bounded by , with . This majorant is integrable because the product rectangle has finite measure. Thus [F3] applies to the fixed product . Set in the inner Euclidean integral, then reflect using Reflection invariance and vanishing first moment of the sphere measure. This gives , with the last equality supplied by sphere-measure scaling Agreement with the existing polar sphere measure.
By [F4], . Therefore . The limiting measure has total mass and constant surface density ; dividing the measure by gives the uniform probability measure on that sphere.
Displacement data versus velocity data in one dimension
Example
Let , , , and let and , with . The two terms of the classical d'Alembert formula of d'Alembert's formula and uniqueness in one dimension behave differently: (i) pure displacement, : is the sum of two half-amplitude copies of the profile translating rigidly at speed ; each component preserves its own values and the support lies in . (ii) pure velocity, : is times the interval average of for , and hence is an integral over a growing interval: where the whole support of lies inside the interval the value is the constant , and the profile is smoothed by integration rather than generally undergoing a rigid translation. For the bounded indicator extension , this integral is the expanding plateau of A compactly supported velocity datum produces an expanding interval; that indicator example describes the formula extension, while the present Cauchy-problem data are classical. Both classical solutions are supported in , consistent with The one-dimensional value depends on the characteristic interval.
Facts & Assumptions
Given: a speed , , compactly supported data , with supports in , and the classical d'Alembert solution of d'Alembert's formula and uniqueness in one dimension.
For admissible data the d'Alembert solution is (d'Alembert's formula and uniqueness in one dimension, The d'Alembert expression attains both initial data).
The value at depends on the data only through their restrictions to (The one-dimensional value depends on the characteristic interval).
For the integral extension is the expanding plateau computed in A compactly supported velocity datum produces an expanding interval.
Verification
Pure displacement. Setting in [F1] leaves . Each summand is a rigid translate of the half-amplitude profile . Their supports lie in the translates and , so the total support lies in . Where the two profiles overlap they add, and can reinforce or cancel; preservation of amplitude is a claim about the individual translating summands.
Pure velocity. Setting leaves , the overlap integral of the datum with the interval , which equals the constant whenever ; for the profile gains one derivative and generally changes shape through integration rather than translating a fixed profile. The bounded indicator extension in [F3] has the exact plateau computed there, though the present classical solution claim uses the stated data.
Support. In both cases the data vanish outside , so by [F1] the value is zero unless , that is unless ; continuity of the compactly supported data makes the value zero also at ; this is the one-dimensional instance of the domain of dependence [F2].
Sources
- John K. Hunter, Notes on Partial Differential Equations (revised 18 June 2014, UC Davis)
- Victor Ivrii, Partial Differential Equations (University of Toronto, 2018, CC BY-SA)
- Jared Speck, MIT 18.152 Introduction to Partial Differential Equations, Class Meeting #10: Introduction to the Wave Equation (Fall 2011)
- Gerald Teschl, Partial Differential Equations: From Classical to Modern (2025 archived author manuscript, AMS Graduate Studies in Mathematics)
- Sung-Jin Oh, Lecture Notes for Math 222A (UC Berkeley, 19 March 2024)