Fourier Transforms: Why Can't Homogeneous PDEs Be Solved?

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Discussion Overview

The discussion centers around the challenges of solving homogeneous partial differential equations (PDEs) using Fourier transforms. Participants explore the application of Fourier transforms to the diffusion equation and the implications of transforming both spatial and temporal variables.

Discussion Character

  • Technical explanation, Debate/contested, Mathematical reasoning

Main Points Raised

  • One participant questions why homogeneous PDEs cannot be solved by applying Fourier transforms to both sides, specifically referencing the diffusion equation.
  • Another participant suggests that the lack of dependence on certain variables leads to complications, resulting in Dirac deltas when transforming without careful consideration.
  • A different participant asserts that both sides of the equation do depend on space and time, challenging the previous assertion about variable dependence.
  • One participant proposes the use of a four-dimensional Fourier transform and mentions the necessity of solving algebraically for U(k, w), while also highlighting potential issues with integrating around poles that depend on boundary conditions.

Areas of Agreement / Disagreement

Participants express differing views on the applicability of Fourier transforms to the problem, with some asserting variable dependence and others focusing on the complications arising from the transformation process. The discussion remains unresolved regarding the effectiveness of the Fourier transform approach for homogeneous PDEs.

Contextual Notes

Limitations include the assumptions about variable dependence and the complexities introduced by boundary conditions, which are not fully resolved in the discussion.

JohnSimpson
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Why can't homogeneous PDEs be solved by completely Fourier transforming both sides, down to an algebraic equation.

To clarify, consider the diffusion equation Del-Squared u = du/dt

If we Fourier transform both sides with respect to all 3 spatial variables and the time variable, we have something along the lines of

k^2 U = omega*U

which I can't seem to do anything useful with. What am I missing, or, if I'm not missing anything, is there a deeper reason behind why this approach won't work?
 
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The right side doesn't depend on the spatial variables, and the left side on the time variable, hence if you just Fourier transform mindlessly, you will get dirac deltas everywhere
 
both sides depend on both space and time though, since on both sides we have u(x,y,z,t)
 
You can use a four-dimensional Fourier transform, yes. Then solve the equation algebraically for U(k, w) and take the inverse transform.

The problem you will run into is how to integrate around the poles. There are several different possibilities, each of which ultimately depends on the boundary conditions.
 

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