Different methods to solving PDE's

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Discussion Overview

The discussion revolves around the appropriate methods for solving partial differential equations (PDEs), specifically comparing Fourier transforms, Laplace transforms, and separation of variables. Participants explore the conditions under which each method is applicable, including considerations of the domain of the solution and boundary conditions.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant suggests that Fourier transforms are suitable for solutions defined from negative infinity to positive infinity, while Laplace transforms are for solutions bounded from 0 to infinity.
  • Another participant states that separation of variables can be used if it is applicable, typically when a solution can be expressed as a product of functions, leading to a separation of variables in the PDE.
  • A participant introduces the concept of a one-sided Fourier transform, noting its relation to the Laplace transform through the Hilbert transform.
  • Another participant mentions that separation of variables may only be applicable when boundary conditions are homogeneous, indicating a potential limitation in its use.

Areas of Agreement / Disagreement

Participants express differing views on the conditions for using separation of variables, particularly regarding boundary conditions. There is no consensus on the definitive criteria for choosing between the methods discussed.

Contextual Notes

Participants note various assumptions about the applicability of each method, including the nature of boundary conditions and the domains of the solutions, which remain unresolved.

captain
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I just want to know when would you use a Fourier transform method to solve a PDE vs. separation of variables or Laplace transform? My guess is that a Fourier transform is for a problem in which the solution exists from negative infinity to positive infinity, whereas a Laplace transform would for a solution which is bounded from 0 to infinity, but I still don't know when you would use separation of variables even if you are in the domain in which you could use a Fourier or laplace transform. All this is somewhat loosely stated. Thanks to everyone in advance who can clear this up for me and confirm if what I said was correct above.
 
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The answer is you can use (multiplicative) separation of variables if it works! That usualy means you can propose a solution of the form, say, u(x,t)=U(x)T(t), and when you insert that into the equation you are able to put it in the form L[U(x)]=M[T(t)], L and M being differential operators. If you get there, it turns out that one side depends only on x, and the other on t, so the only solution available is both sides being equal to a constant. Something similar happens to additive separabiliy.
 
And there is such a thing as a one-sided Fourier transform. It is the result os substituting s=iw in the laplace transform. This one-sided Fourier transform is related to the usual one via hilbert transform
 
captain said:
I just want to know when would you use a Fourier transform method to solve a PDE vs. separation of variables or Laplace transform? My guess is that a Fourier transform is for a problem in which the solution exists from negative infinity to positive infinity, whereas a Laplace transform would for a solution which is bounded from 0 to infinity, but I still don't know when you would use separation of variables even if you are in the domain in which you could use a Fourier or laplace transform. All this is somewhat loosely stated. Thanks to everyone in advance who can clear this up for me and confirm if what I said was correct above.


I think I read some where (probably in this forum), we can only try separation of variables when the boundary conditions are homogeneous. If I'm not mistaken.
 

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