The Laplace Equation
Laplace's equation is the second-order partial differential equation , stating that a function's value at each point equals the average of its surrounding values. Its solutions, called harmonic functions, model steady-state phenomena: equilibrium temperature, electrostatic potential in charge-free regions, incompressible irrotational fluid flow, and gravitational potential in vacuum. Named for Pierre-Simon Laplace (1749–1827), it is the canonical elliptic PDE and the foundation of Potential Theory.
A harmonic function has no local extrema in the interior: at every point its value equals the average over any surrounding sphere. There are no "peaks" or "valleys" — heat has flowed until everything is as smooth and balanced as possible. This single averaging property explains uniqueness, the maximum principle, smoothness, and why boundary data alone determines the entire interior.
Formal Statement
For a scalar function defined on an open domain , Laplace's equation is
Derivation hint: The Laplacian is the divergence of the gradient, ; expand in Cartesian coordinates to obtain the sum of pure second derivatives. Here is the unknown field, are Cartesian coordinates, and is the Laplace operator. A function satisfying [1] on is called harmonic on . The inhomogeneous version is Poisson's Equation.
In two and three dimensions the equation reads explicitly:
Derivation hint: Specialize equation [1] to and , writing , etc. In polar coordinates the Laplacian becomes
Derivation hint: Apply the chain rule to , , expressing in terms of , and sum the second derivatives — the cross terms cancel.
If is harmonic on and the closed ball , then the value at the centre equals the average over the bounding sphere and over the solid ball:
Derivation hint: Define ; differentiate, apply the divergence theorem to get , so is constant and equals its limit . Remarkably, this property characterizes harmonic functions: a continuous function satisfying the mean value property everywhere is automatically harmonic and smooth.
A non-constant harmonic function on a connected domain attains neither a maximum nor a minimum at any interior point. If is bounded and is continuous on ,
Derivation hint: If an interior max were attained at , the mean value property [4] would force on a small sphere, hence (by a connectedness argument) on all of , contradicting non-constancy.
Why It Holds / Derivation
We prove that the Dirichlet problem — solve in with on — has at most one solution.
Step 1. Suppose and are both harmonic in , continuous on , with on .
Step 2. Let . Since the Laplacian is linear, , so is harmonic.
Step 3. On the boundary, .
Step 4. By the maximum principle [5], and .
Step 5. Therefore everywhere, i.e. , so .
∎We show that if is holomorphic, then and are harmonic.
Step 1. Holomorphy implies the Cauchy–Riemann equations:
Derivation hint: These follow from requiring the complex derivative to be independent of direction of approach.
Step 2. Differentiate the first equation with respect to : .
Step 3. Differentiate the second with respect to : .
Step 4. Since is smooth, mixed partials commute (). Adding the two results:
Derivation hint: Add the results of Steps 2–3 and invoke Clairaut's theorem on equality of mixed partials. An identical computation shows . Thus both components are harmonic, and is the harmonic conjugate of .
∎The French mathematician and astronomer who, in his monumental Mécanique céleste, used the operator now bearing his name to analyze the gravitational potential of planetary bodies. Laplace argued that the gravitational potential of a mass distribution satisfies in empty space, reducing the study of forces to a single scalar function. He famously claimed celestial mechanics had no need of the "hypothesis" of divine intervention — the equations sufficed. Though the equation appears earlier in Euler's and Lagrange's fluid work, Laplace's systematic exploitation of potential theory cemented his name to it.
Building Intuition
Imagine a thin metal plate whose edge temperature you fix arbitrarily, then wait for equilibrium. Heat flows from hot to cold until no point can change — meaning every interior point sits exactly at the average temperature of its neighbours. That balance condition is Laplace's equation. Now stretch a rubber membrane (a soap film) over a bent wire loop: the film minimizes its area, and for small slopes its height is harmonic. There are no bumps an ant could climb to find a local summit; the highest and lowest points are always on the wire. This is the maximum principle made tactile. Finally, in 2D, picture the flow lines of a frictionless incompressible fluid: the velocity potential is harmonic, and the streamlines are the level curves of its harmonic conjugate — the same magic that lets Conformal Mapping reshape one flow into another.
Worked Examples
Given: A circular plate of radius m. The boundary temperature is degrees Celsius. Find the interior temperature , then evaluate at the center and at .
Step 1 — General solution. By separation of variables in [3], the bounded harmonic functions on a disk are
Derivation hint: Set in [3]; the angular part gives , and boundedness at selects the radial solution over .
Step 2 — Match boundary data. On : . Matching Fourier coefficients: , , all others zero.
Step 3 — Assemble. With :
Step 4 — Evaluate. Center : °C — exactly the average of the boundary data, confirming the mean value property. At : °C.
Given: Two concentric conducting spheres, inner radius m at potential V, outer radius m at V. The region between them is charge-free, so is harmonic and depends only on (spherical symmetry). Find and the field at m.
Step 1 — Radial Laplacian. With spherical symmetry, , so
Derivation hint: Integrate once to get , then integrate again.
Step 2 — Apply boundary conditions. and . Subtracting: V·m. Then V.
Step 3 — Potential.
Check: V ✓; V ✓.
Step 4 — Field at m. V/m, directed radially outward.
Common Misconceptions
"Harmonic functions can have interior maxima." They cannot (unless constant). If your computed solution has a bump in the interior, you have made an error or your domain contains a hidden source — which means you are really solving Poisson's Equation, not Laplace's. Likewise, do not assume superposition of products gives every solution: separation of variables only works in specially shaped domains (rectangles, disks, spheres) where the boundary aligns with a coordinate surface.
Boundary data must be self-consistent. For the Neumann problem (specifying the normal derivative on ), no solution exists unless the compatibility condition holds — physically, net heat flux must vanish at steady state. And Neumann solutions are unique only up to an additive constant.
The mean value property fails for . Consider on the unit disk. Then , so is not harmonic. At the origin , but the average over the unit circle is . The center value undershoots the boundary average — a hallmark of subharmonic functions (), which lie below their boundary averages, the opposite of the harmonic balance.
Connections
Laplace's equation sits at the crossroads of several theories. It is the steady-state limit of the Heat Equation (set ) and of the diffusion equation. Adding a source term yields Poisson's Equation , the workhorse of electrostatics. In two dimensions, harmonic functions are exactly the real/imaginary parts of holomorphic functions (Complex Analysis), so Conformal Mapping transplants solutions between domains. The mean value and maximum principles connect it to Brownian Motion: equals the expected boundary value reached by a random walker started at . Finally, harmonic functions are the equilibrium states minimizing the Dirichlet energy , linking the topic to the Calculus of Variations and Euler–Lagrange theory.
Real-World Applications
Historical Development
Subtleties & Limits
Existence of solutions can fail at irregular boundary points: Lebesgue's spine (a sharp inward cusp) is a domain where the Dirichlet problem has no continuous solution attaining the prescribed boundary value at the cusp tip — motivating the theory of regular boundary points and Wiener's criterion. More broadly, the regularity theory for elliptic equations (how smooth solutions are, given rough coefficients or data) remains active: De Giorgi–Nash–Moser theory addresses divergence-form equations, but sharp regularity for general nonlinear and degenerate elliptic operators, and for free-boundary problems built on the Laplacian (e.g. the obstacle problem and optimal regularity of free boundaries), continues to be researched. The interplay between harmonic measure, potential theory, and the geometry of rough boundaries (rectifiability) is a vibrant modern frontier.
See Also
Poisson's Equation · Harmonic Functions · Potential Theory · Complex Analysis · Conformal Mapping · Heat Equation · Spherical Harmonics · Green's Functions · Calculus of Variations · Brownian Motion