Solving Laplace Equation on Square: Proving |u|<=1

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In summary, the conversation discusses a Laplace equation on a square and uses given boundary conditions to prove that a harmonic function must achieve its maximum on the boundary. This is because the function can be redefined as an analytic function on the complex plane and the maximum modulus principle can be applied. The function is then bounded by the bounds it attains on the boundary, meaning the modulus of the function itself must be bounded by 1 everywhere. There is some discussion and clarification about the other boundary conditions and the concept of redefining the function as an analytical one on a complex plane.
  • #1
Mechmathian
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We look at a Laplace equation ([tex]\Delta u(x, y)=0)[/tex] ) on a square [0, 1]* [0, 1]
If we know that [tex]u|_{x = 0}[/tex]= siny , [tex]u|_{x = 1}[/tex]= cosy
[tex]u'_{y}|_{y = 0}[/tex]= 0 , [tex]u'_{y}|_{y = 1}[/tex]= 0 we differentiate here by y. proove that |u|<=1.
 
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  • #2
A harmonic function that is not constant has to achieve it's max on the boundary, else it's constant. This is because you can redefine it as an analytic function on the complex plane (since it's harmonic) and apply the maximum modulus principle.

Your solution is then bounded by the bounds it attains on the boundary, which are sin and cos, so they are bounded by 1 which means the modulus of the function itself must be bounded by 1 everywhere (if not then you can find a point in the interior where the function achieves a global max and then forces the function to be constant).

I could be completely off though, it's been along time.
 
  • #3
Thank you for the answer. It might be right, but I have some questions
1) What are the other 2 boundary conditions given for?
2) I didn't quite understand what you mean by redefining the function as an analytical one on a complex plane.. There does exist a theorem that if u is harmonic, then there exists a harmonic function v, such that u+iv is analytical..
 
  • #4
Actually what you have said is right.. The second question is taken out. The first one is still unclear to me
 
  • #5
what I meant to say is that if the maximum is greater then one then it has to be on the other two sides of the square, we just eliminated the first two sides..
 
  • #6
Solved.
 

1. What is the Laplace equation and why is it important in science?

The Laplace equation is a partial differential equation used to describe the behavior of a physical system. It is important in science because it is a fundamental tool for solving many problems in physics, engineering, and mathematics, such as heat conduction, fluid flow, and electrostatics.

2. What is the square in the context of solving the Laplace equation?

The square refers to a two-dimensional region or domain on which the Laplace equation is being solved. It can represent a physical space or a mathematical domain, and it is often used to model systems with square or rectangular boundaries.

3. How is the Laplace equation solved on a square?

The Laplace equation on a square can be solved using various methods, such as separation of variables, Fourier series, or numerical techniques. The solution involves finding a function u(x,y) that satisfies the Laplace equation and satisfies the boundary conditions on the square.

4. What does the inequality |u|<=1 mean in the context of solving the Laplace equation on a square?

The inequality |u|<=1 represents a restriction on the values of the solution u(x,y) on the square. It means that the absolute value of u at any point on the square must be less than or equal to 1. This can be interpreted as a bound on the magnitude of the solution, which can have important physical implications.

5. How is the inequality |u|<=1 used to prove the solution to the Laplace equation on a square?

The inequality |u|<=1 can be used as a tool to prove the validity of a solution to the Laplace equation on a square. By showing that the solution u(x,y) satisfies the inequality, we can demonstrate that it meets the necessary conditions for a solution and is therefore a valid solution to the problem.

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