Green's Function: Solving 1D Laplace Equation

In summary, the conversation discusses finding the Green's function in one space dimension, which is defined as G(x,y) = \Phi(x-y) - \phi(x,y). The Laplace problem is also mentioned, with the solution \phi(x,y) = ax + b. The conversation then goes on to discuss the conditions that the Green's function must satisfy and the dependence of the "constants" on t. Finally, the conversation touches on the issue of finding the constants with only one condition given, \phi(x,\sigma).
  • #1
squenshl
479
4

Homework Statement


I am trying to find the Green's function in one space dimension. The Green's function is G(x,y) = [tex]\Phi(x-y)[/tex] - [tex]\phi(x,y)[/tex] where [tex]\phi(x,y)[/tex] is the solution to the Laplace problem (x fixed): [tex]\Delta[/tex]y[tex]\phi[/tex] = 0 in [tex]\Omega[/tex] with [tex]\phi(x,\sigma)[/tex] = [tex]\Phi(x-\sigma)[/tex] for [tex]\sigma[/tex] on [tex]\delta\Omega[/tex]. I have [tex]\Phi(x)[/tex] = -|x|/2.

Homework Equations





The Attempt at a Solution


The Laplace equation in one dimension is just [tex]\phi''[/tex] = 0 so solving this is trivial, [tex]\phi[/tex] = ax + b but how go I get the constants from [tex]\phi(x,\sigma)[/tex] = [tex]\Phi(x-\sigma)[/tex] = -|x-[tex]\sigma[/tex]|/2
 
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  • #2
The Green's function for this problem is a function, G(x,t), such that:
1: It satisifies the equation [itex]d^2 G/dx^2= 0[/itex] for all t.
2: It satisifies the boundary conditions,
3: It is continuous at x= t.
4: There is a jump of 1 in the derivative at x= t: [itex]\lim_{x\to t^-} dG/dx- \lim_{x\to t^+} dG/dx= 1[/itex]

From the first condition, it follows that G(x,t) must be of the form
G(x,t)= Ax+ B for [itex]x\le t[/itex]
G(x,t)= Cx+ D for [itex]t\le x[/itex]
and the "constants", A, B, D, and D, may depend on t.

From the fourth condition, C- A= 1. From the third condition, At+ B= Ct+ D
But you haven't given any boundary conditions. What are your boundary conditions? On what interval are you solving this?
 
  • #3
We only have [tex]\phi(x,\sigma[/tex]) as the only condition. I think that we only have to apply this to the solution[tex]\phi[/tex] = c1y + c2. But how do we find the constants if we only have one condition.
 

FAQ: Green's Function: Solving 1D Laplace Equation

What is a Green's function?

A Green's function is a mathematical tool used to solve boundary value problems in differential equations. It represents the response of a system to a point source or impulse function, and can be used to find the solution at any point in the system.

How is a Green's function used to solve the 1D Laplace equation?

In the 1D Laplace equation, the Green's function is used as a fundamental solution to the equation. This means that by convolving the Green's function with the boundary conditions, the solution to the 1D Laplace equation can be found.

What are the advantages of using Green's function to solve 1D Laplace equation?

There are several advantages to using Green's function to solve the 1D Laplace equation. Firstly, it provides a general solution that can be applied to a wide range of boundary value problems. Additionally, it allows for the solution to be expressed in terms of integrals, making it easier to manipulate and solve. Lastly, it provides a physical interpretation of the solution, as it represents the response of the system to an impulse function.

What are the limitations of using Green's function to solve 1D Laplace equation?

One limitation of using Green's function to solve the 1D Laplace equation is that it can only be applied to linear boundary value problems. Additionally, it may not always be possible to find an analytical expression for the Green's function, requiring numerical methods to be used instead.

Can Green's function be extended to higher dimensions?

Yes, Green's function can be extended to higher dimensions, such as 2D or 3D. However, the mathematical complexity increases significantly in higher dimensions, making it more challenging to find analytical solutions. In these cases, numerical methods are often used to approximate the solution.

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