Show uniqueness in Dirichlet problem in unit disk

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SUMMARY

The uniqueness of the solution to the Dirichlet problem in the unit disk is established through the application of Fourier series and theorems regarding continuous functions. Specifically, if the boundary condition is given by \( u(1,\theta) \equiv 0 \), the only solution is \( u(r,\theta) \equiv 0 \). This conclusion follows from Theorem 4.3, which states that if all Fourier coefficients of a piecewise continuous function are zero, then the function itself must be zero at all points of continuity. Additionally, the uniqueness of solutions is reinforced by the Maximum Principle, which asserts that extrema occur only at the boundary.

PREREQUISITES
  • Understanding of Laplace's equation in the context of the Dirichlet problem.
  • Familiarity with Fourier series and Fourier coefficients.
  • Knowledge of the Maximum Principle in partial differential equations.
  • Basic concepts of integration by parts in mathematical analysis.
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  • Study the application of Fourier series in solving boundary value problems.
  • Explore the Maximum Principle and its implications for uniqueness in solutions of PDEs.
  • Learn about the properties of piecewise continuous functions and their Fourier coefficients.
  • Investigate integration techniques, particularly integration by parts, in the context of PDEs.
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Mathematicians, physicists, and engineers working on boundary value problems, particularly those interested in the uniqueness of solutions to partial differential equations.

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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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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)##.
 
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.
 
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.
 
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.
 
Well, Max, min, will be reached at the boundary, forcing the function to be identically zero.
 
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.
 

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