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Fundamental Solutions

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Classification of PDEs (Elliptic, Parabolic, Hyperbolic)Green's Functions for PDEs→→Distribution Theory and Generalized Functions
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Core Idea

A fundamental solution of a linear PDE operator L is a distribution Φ satisfying LΦ = δ (the Dirac delta) in all of ℝⁿ, without boundary conditions. It represents the response to a point source in free space and is the building block from which Green's functions and general solutions are constructed. The fundamental solution for the Laplacian is the Newton potential (1/|x| in 3D), for the heat operator it is the Gaussian heat kernel, and for the wave operator it is a distribution supported on the light cone. These explicit formulas encode the essential character of each PDE type.

Explainer

Fundamental solutions are the atoms of linear PDE theory. A fundamental solution Φ for an operator L satisfies LΦ = δ in the distributional sense, meaning it is the response to an idealized point source in all of space without boundaries. Unlike Green's functions, fundamental solutions are intrinsic to the operator itself and independent of any domain or boundary conditions. They exist for all constant-coefficient linear operators with nonzero principal symbol, as guaranteed by the Malgrange-Ehrenpreis theorem.

The fundamental solution of the Laplacian reflects the geometry of diffusion in different dimensions. In ℝ³, Φ(x) = 1/(4π|x|) is the Newtonian potential—the electrostatic potential of a point charge. In ℝ², Φ(x) = -(1/2π)ln|x| is the logarithmic potential, which grows without bound at infinity, reflecting the recurrence of two-dimensional random walks. In ℝⁿ for n ≥ 3, Φ(x) = c_n/|x|^(n-2). These formulas encode how influence from a point source decays with distance, and they underpin all of classical potential theory.

The heat kernel K(x,t) = (4πkt)-n/2exp(-|x|²/(4kt)) for t > 0 is the fundamental solution of the heat operator ∂_t - kΔ. It is a Gaussian whose width grows as √(kt), describing how a point source of heat spreads diffusively. Two crucial properties are immediate from the formula: the infinite speed of propagation (K > 0 for all x when t > 0) and the smoothing effect (K is infinitely differentiable for t > 0 despite the singular initial data). The heat kernel appears throughout mathematics—in probability (transition density of Brownian motion), geometry (local index theorem), and number theory (Jacobi theta function).

For the wave operator ∂²_t - c²Δ, the fundamental solution depends critically on the spatial dimension. In one dimension, it is the Heaviside function H(ct - |x|)/(2c), which is supported inside the full light cone—a pulse rings forever. In three dimensions, it is a distribution supported exactly on the light cone |x| = ct, giving sharp wave fronts (Huygens' principle). In two dimensions, it is supported inside the light cone, producing the familiar trailing waves seen when a stone is dropped in water. These dimension-dependent behaviors are among the most striking results in PDE theory and have profound physical consequences.

Practice Questions 4 questions

Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Dividing Integers → Unit Rates → Proportions → Percent Concept → Converting Between Fractions, Decimals, and Percents → Operations with Rational Numbers → Two-Step Equations → Solving Multi-Step Equations → Equations with Variables on Both Sides → Angle Pairs: Complementary, Supplementary, and Vertical → Parallel Lines and Transversals → Corresponding Angles → Alternate Interior Angles → Triangle Angle Sum Theorem → Exterior Angle Theorem → Triangle Inequality Theorem → Similar Triangles: AA Similarity → Similar Triangles: SSS and SAS Similarity → Proportions in Similar Triangles → Right Triangle Trigonometry Introduction → Sine, Cosine, and Tangent Ratios → Trigonometric Ratios Review → Radian Measure → Converting Between Degrees and Radians → The Unit Circle → Graphing Sine and Cosine → Graphing Tangent and Reciprocal Trigonometric Functions → Derivatives of Trigonometric Functions → Antiderivatives → Indefinite Integrals → Basic Integration Rules → Riemann Sums → Definite Integral Definition → Double Integrals: Definition and Setup → Iterated Integrals and Fubini's Theorem → Double Integrals over Rectangular Regions → Double Integrals over General Regions → Applications of Double Integrals: Area, Mass, and Moments → Triple Integrals in Cartesian Coordinates → Triple Integrals in Cylindrical and Spherical Coordinates → Change of Variables and the Jacobian Determinant → Applications of Triple Integrals: Volume and Mass → Vector Fields and Their Representations → Line Integrals of Vector Fields → Work and Circulation → Line Integrals of Scalar and Vector Functions → Fundamental Theorem for Line Integrals → Conservative Vector Fields → Conservative Vector Fields and Potential Functions → Curl and Divergence of Vector Fields → Curl and Divergence → Divergence Theorem → Green's Functions for PDEs → Fundamental Solutions

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