Show uniqueness in Dirichlet problem in unit disk

In summary, the uniqueness of solutions to the Dirichlet problem in the unit disk is established through the application of maximum principles and harmonic function properties. Specifically, if a harmonic function satisfies given boundary conditions on the unit circle, then it is the only function that meets these criteria within the disk, emphasizing the distinctiveness of solutions based on specified boundary data. This uniqueness is crucial for ensuring well-defined solutions in potential theory and related fields.
  • #1
psie
269
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Homework Statement
Let ##u## be specified on the boundary of the unit disk. Show the solution to ##\Delta u=0## is unique.
Relevant Equations
See theorem and corollary below.
Consider the solution of the Dirichlet problem in the unit disk, i.e. solving Laplace equation there with some known function on the boundary. The solution, obtained via separation of variables, can be expressed as $$u(r,\theta)=\frac{a_0}{2}+\sum_{n=1}^\infty r^n(a_n\cos{n\theta}+b_n\sin{n\theta}).$$ I am now trying to show this solution is unique. To that end, I'm trying to show that if the known function at the boundary is identically ##0##, i.e. ##u(1,\theta)\equiv0##, then the only solution must be ##0##. The author of the text merely refers to a section of the book that contains the following two results:

Theorem 4.3 Suppose that ##f## is piecewise continuous and that all its Fourier coefficients are ##0##. Then ##f(t)=0## at all points where ##f## is continuous.

Corollary 4.1 If two continuous functions ##f## and ##g## have the same Fourier coefficients, then ##f=g##.

I'm confused over how or if these results apply here. If ##u(1,\theta)\equiv0##, then $$0=\frac{a_0}{2}+\sum_{n=1}^\infty a_n\cos{n\theta}+b_n\sin{n\theta}.$$ Does this mean the Fourier series converges pointwise to ##0## for all ##\theta##? If so, I don't think I can use any of the theorems above. I am stuck.
 
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  • #2
I believe I'm overthinking this, or thinking too fast!

The idea is to expand the function ##u(1,\theta)=g(\theta)\equiv 0## into a Fourier series. Clearly all its coefficients are ##0##, i.e. ##a_n=b_n=0## for all ##n##. The theorem assures us that $$u(r,\theta)\equiv0,$$ is the only solution. Why? Well, suppose there was another non-zero (continuous) solution, then it too would have all its coefficients equal to ##0## by the boundary condition. But the theorem would force it to be equal to ##0## identically. Thus ##u(r,\theta)\equiv0## is the only solution to the boundary condition ##u(1,\theta)\equiv0##.

For the second part, suppose there are two solutions ##u,v## to the problem with boundary condition ##u(1,\theta)=v(1,\theta)=g(\theta)##. Then we apply the result we just proved to ##w(r,\theta)=u(r,\theta)-v(r,\theta)## to get ##w(r,\theta)\equiv0##, i.e. ##u(r,\theta)=v(r,\theta)##.
 
  • #3
IIRC, uniqueness is obtained through the Maximum priciple, i.e., extrema are reached only in the boundary. Existence , I believe, is harder, though it depends on your perspective, interests.
 
  • #4
You can also do it this way. If you have two solutions, then their difference will be a solution with zero boundary conditions. Multiply the equation by ##u## and integrate

##\int u\Delta u=0##

Use one of those integration formulas (basicaly integration by parts) to get

##\int \nabla u\cdot \nabla u =0##

This implies that the function has zero gradient, thus is constant, and from the boundary condition it follows that it is zero.
 
  • #5
martinbn said:
You can also do it this way. If you have two solutions, then their difference will be a solution with zero boundary conditions. Multiply the equation by ##u## and integrate

##\int u\Delta u=0##

Use one of those integration formulas (basicaly integration by parts) to get

##\int \nabla u\cdot \nabla u =0##

This implies that the function has zero gradient, thus is constant, and from the boundary condition it follows that it is zero.

This argument is preferable, since it also covers solutions (if any) which cannot be obtained by separation of variables in polar coordinates.
 
  • #6
Well, Max, min, will be reached at the boundary, forcing the function to be identically zero.
 
  • #7
WWGD said:
Well, Max, min, will be reached at the boundary, forcing the function to be identically zero.
Yes, but you need to prove it or take it for granted.
 

FAQ: Show uniqueness in Dirichlet problem in unit disk

What is the Dirichlet problem in the unit disk?

The Dirichlet problem in the unit disk involves finding a function that is harmonic inside the unit disk and takes prescribed continuous boundary values on the unit circle. Mathematically, it seeks a function \( u \) such that \( \Delta u = 0 \) in the unit disk and \( u = f \) on the boundary, where \( f \) is a given continuous function on the unit circle.

Why is uniqueness important in the Dirichlet problem?

Uniqueness is crucial because it ensures that the solution to the Dirichlet problem is well-defined and reliable. If multiple solutions existed, it would be unclear which one corresponds to the given boundary conditions, making the problem ill-posed and the results unpredictable.

How do you prove the uniqueness of the solution to the Dirichlet problem in the unit disk?

The uniqueness of the solution can be proven using the maximum principle for harmonic functions. If \( u_1 \) and \( u_2 \) are two solutions with the same boundary values, then \( u = u_1 - u_2 \) is harmonic and zero on the boundary. By the maximum principle, \( u \) must be zero throughout the disk, proving that \( u_1 = u_2 \) and thus the solution is unique.

What role does the maximum principle play in proving uniqueness?

The maximum principle states that a non-constant harmonic function attains its maximum and minimum values on the boundary of its domain. In proving uniqueness, it implies that if a harmonic function is zero on the boundary of the unit disk, it must be zero everywhere inside the disk. This principle is key to demonstrating that any two solutions with the same boundary values must be identical.

Can the method of proof for uniqueness in the unit disk be generalized to other domains?

Yes, the method of using the maximum principle to prove uniqueness can be generalized to other domains, provided the domain is sufficiently regular (e.g., bounded and with a smooth boundary). The principle applies to any domain where the maximum principle holds, making it a powerful tool in solving Dirichlet problems in various contexts.

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