A thin plate whose edges are held at fixed temperatures eventually stops changing. In the heat equation the time derivative is then zero, so the final temperature satisfies an equation in and alone, with no initial condition left to fix it. Which profile does the plate settle into, and could two different profiles fit the same edges? This lesson solves that steady equation by separation of variables on a rectangle and on a disk, shows that prescribed boundary values allow only one solution, and explains why prescribed boundary slopes need a balance condition and leave a constant undetermined.
Key terms
Laplace’s equation and harmonic functions
Definition Let be an open set and let have continuous second partial derivatives in , with and . The Laplacian of is
and Laplace’s equation is in . A function with continuous second partial derivatives that satisfies Laplace’s equation in is called harmonic in . In three variables the Laplacian is , and the maximum principle, uniqueness and compatibility results below carry over, with volume and surface integrals in place of area and boundary integrals. The equation is linear and homogeneous, so sums and constant multiples of harmonic functions are harmonic. Its principal part makes it elliptic, and since it contains no time variable it comes with boundary conditions only, never with initial conditions.
In plain words At every point the second derivative of a harmonic function in the direction cancels its second derivative in the direction. The graph of a harmonic function can be shaped like a saddle, but it never has a peak that rises above all nearby points or a pit that sinks below them. This is the shape of a steady temperature in a region where no heat is produced or removed.
Example The function has and , so it is harmonic in the whole plane, and so are and every linear function . The function is not harmonic, because its Laplacian is . The domain is part of the statement. The function has
so it is harmonic in the punctured plane , but not in any open set that contains the origin, where it is not even defined.
Poisson’s equation
Definition Let be open and let be a given function on , called the source term. Poisson’s equation is
and Laplace’s equation is the case . This page uses the plus sign convention written here. Many texts write instead, and then the sign of every source is reversed. A boundary-value problem adds conditions on the boundary . The Dirichlet problem prescribes the values on . The Neumann problem prescribes the outward normal derivative
where is the outward unit normal. In a heat model, is proportional to the rate at which heat flows in across the boundary, and the steady state of with an internal heating rate satisfies . So in this convention a positive heat supply gives a negative .
In plain words The source term prescribes how much the solution must bend at each point. With the plus sign convention a positive makes the solution bend upward on average, like a bowl, which in a heat model means that heat is being drawn out there.
Example On the unit disk , the function has and vanishes on the circle . It solves the Dirichlet problem in the disk with on the boundary, and its lowest value is , at the center. In heat terms the edge of the plate is held at temperature while heat is drawn out uniformly inside, so the middle is the coldest point. In the convention the same problem would be written with .
Separation in a rectangle
Definition On the rectangle , , consider the Dirichlet problem
Substituting , with and , and dividing by gives . The left side depends only on and the right side only on , so both equal a constant . The zero side conditions give the Dirichlet eigenvalue problem with , so and for The vertical factor then solves with , so it is a multiple of . Superposition gives
where the coefficients are the Fourier sine coefficients of the top data,
chosen so that the series equals at . If is continuous and piecewise smooth with , so that the top data meet the zero sides continuously at the corners, the series converges uniformly on the closed rectangle, it can be differentiated term by term inside, and its sum is the solution. When several sides carry nonzero data, solve one such problem for each side and add the results.
In plain words Sines fit the two zero sides, and each sine mode grows in the vertical direction like a hyperbolic sine, from zero at the bottom to its full size at the top. The top data are split into sine modes, and each mode is carried into the rectangle on its own. A mode with large dies off quickly below the top edge, since its factor is less than , so fine wiggles in the data are felt only near that edge.
Example For only the mode is present, and
To check it, note that and , so . The factor vanishes on the sides and , the factor vanishes on the bottom, and at the fraction reduces to . At the center the value is , less than half of the top value directly above it. For the data , which also vanish at both corners, the coefficients are for odd and for even .
Separation in a disk
Definition In polar coordinates , , the Laplacian at points with is
Consider the Dirichlet problem on the unit disk, for with . Substituting a separated solution , with and , and multiplying by splits the equation as for a constant . The angular factor satisfies and must be -periodic, which gives the periodic eigenvalues , with for and or for The radial factor then solves the Cauchy-Euler equation
The trial gives . For the roots give the solutions and on . For the root is repeated, and the solutions are and . The center is not part of the boundary, but a solution must be smooth there, and this rules out and , which are unbounded near . What remains is
where and are the Fourier coefficients of on ,
Each term or is a polynomial in and , so nothing goes wrong at the center. If is continuous, piecewise smooth and -periodic, the series converges uniformly on the closed disk and its sum is the solution.
In plain words On a disk the angle is the coordinate along the boundary, and periodicity in the angle replaces the side conditions of the rectangle. The center is not an edge, but the solution has to behave there, so of the two radial solutions for each mode only the bounded one survives. Each angular mode of the data is damped by the factor on the way to the center, and the value at the center is the mean of the boundary data, .
Example For only is nonzero, so
because . This is the harmonic polynomial met above, and it is smooth at the center. The other separated solution is harmonic for and also equals on the circle, but it is unbounded near the center, so it does not solve the problem in the disk. It is a bounded solution with the same data in the region outside the circle instead.
Maximum principle and Dirichlet uniqueness
Definition Let be a bounded open set with boundary and closure , and let be continuous on and harmonic in . The maximum principle states that
In its strong form, if is also connected and takes its maximum or its minimum at a point of , then is constant. Behind it is the mean value property. If the closed disk of radius about a point lies in , the value of at that point is the average of over the circle of radius around it. Uniqueness for the Dirichlet problem follows. For given and , the problem in with on has at most one solution that is twice continuously differentiable in and continuous on . If and are two such solutions, then is harmonic with on , so the principle gives . The same argument gives continuous dependence on the data. Two solutions with the same and boundary values and satisfy
throughout . Uniqueness says nothing about existence, which needs further conditions on and on the data.
In plain words A harmonic function equals its average on every small circle around a point, so it cannot rise above all of its neighbors anywhere inside, and its extreme values are pushed out to the boundary. Two solutions with the same boundary values differ by a harmonic function that is zero on the whole boundary, and such a function is trapped between and .
Example On the closed unit disk the function takes values from to . Both extremes occur on the circle, the maximum at and the minimum at , and the center value lies in between. The bowl has its minimum at the interior center, which does not contradict the principle, since and the bowl is not harmonic. A function with still takes its maximum on the boundary, but its minimum may lie inside. Uniqueness applies to the Poisson problem as well, so the bowl is the only solution of in the disk with zero boundary values.
Neumann compatibility condition
Definition Let be a bounded, connected open set with a smooth boundary and outward unit normal . The pure Neumann problem prescribes the normal derivative on all of ,
If is a solution with continuous second derivatives up to the boundary, the divergence theorem applied to gives the Neumann compatibility condition
Without it there is no solution. For smooth data that satisfy it there is a solution, and it is unique up to a constant. Every constant has and , so solves the same problem. Conversely, the difference of two solutions has and , and Green’s identity gives
so is constant on the connected set . On a set made of several separate pieces, a different constant could be added on each piece. An extra normalization, such as zero mean or a prescribed value at one point, selects a single solution. Dirichlet data leave no such freedom, because they fix the values on the boundary.
In plain words In a steady state the total source inside must balance the total flow across the boundary. If heat is produced inside a plate whose edge is insulated, the temperature keeps rising and never settles, so that problem has no steady solution. Neumann data describe only slopes, and slopes do not change when the whole solution is raised or lowered, so they can never decide the overall level.
Example On the unit disk take , so . On the circle the outward normal is , and
The compatibility condition holds, since and . Every function has the same source and the same Neumann data. The mean of over the disk is
so is the solution with zero mean. With the same source but zero normal derivative on the circle, the two sides of the condition would be and , and that pure Neumann problem has no solution at all.
Check yourself
- Solve Laplace’s equation in the rectangle , with on the bottom and on both vertical sides and on the top. Find the value at the center .
Show the answer
The data are a single sine mode with and , so
It is harmonic, since and . It vanishes at , at and at , and it equals at . The data vanish at both top corners, and by uniqueness for the Dirichlet problem this is the only solution. At the center , and since ,
- For which constant does the Neumann problem in the unit disk with on the circle have a solution? Find all solutions and the one with zero mean.
Show the answer
The compatibility condition requires to equal , so , and for every other there is no solution. For the function works. Its Laplacian is , and its gradient dotted with gives on the circle. The disk is connected, so the solutions are exactly
for constants . Since has mean over the disk, the function has mean , and the solution with zero mean is .
- The function is harmonic in the upper half-plane , continuous up to the line , and zero on that line, yet it is not the zero function. Why does this not contradict uniqueness for the Dirichlet problem, and what extra condition restores uniqueness there?
Show the answer
The maximum principle and the uniqueness theorem built on it require a bounded domain, and the half-plane is unbounded. There the function has boundary maximum but takes every positive value inside, so the maximum principle fails, and the problem with on has the solutions for every constant . On an unbounded domain the problem needs a condition at infinity as well. Requiring to be bounded is enough for the half-plane, and then is the only bounded solution with zero boundary values.