Using Fourier Transform to Solve ODE with Initial Conditions

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Discussion Overview

The discussion revolves around using the Fourier Transform (FT) to solve a second-order ordinary differential equation (ODE) with initial conditions. Participants explore the relationship between the Fourier Transform of the ODE and the Green's function, as well as the implications of initial conditions on the solution.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant presents the ODE and its transformation using the Fourier Transform, proposing a relationship between the solution and the Green's function.
  • Another participant claims that the inverse Fourier transform of -1/w^2 is t sgn(t), suggesting that this can be used to compute the convolution integral.
  • A participant expresses confusion regarding the derivation of the inverse Fourier transform of -1/w^2, particularly due to issues at w=0 and the potential use of Jordan's lemma and the residue theorem.
  • Another participant advises against using the definition of the inverse Fourier transform directly, instead suggesting the use of properties of the Fourier transform to derive the result.
  • One participant acknowledges the simplicity of the method presented for calculating Fourier transforms and expresses appreciation for the insight.
  • A participant highlights the need for caution when using the Fourier transform for such problems, noting the presence of arbitrary constants in the solution that must be determined by initial conditions.
  • The same participant suggests that the Laplace transform might be a more straightforward approach for solving these types of problems.
  • The original poster acknowledges the need to consider the solution of the associated homogeneous equation and expresses a preference for using the Fourier transform due to a lack of familiarity with the Laplace transform.

Areas of Agreement / Disagreement

Participants exhibit a mix of agreement and disagreement. While some participants agree on the use of the Fourier Transform and its properties, there are differing opinions on the best approach to solve the ODE, with some advocating for the Laplace transform as a simpler alternative.

Contextual Notes

There are unresolved issues regarding the behavior of the inverse Fourier transform at w=0, and the discussion includes various assumptions about the applicability of different mathematical techniques.

ondine4
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Hi, let's take this ode:
y''(t) = f(t),y(0)=0, y'(0)=0.
using the FT it becomes:
-w^2 Y(w) = F(w)
Y(w)=( -1/w^2 )F(w)

so i can say that -1/w^2 is the Fourier transorm of the green's function(let's call it G(w)).
then
y(t) = g(t) * f(t)
where
g(t) = F^-1 (G(w))
(inverse Fourier transorm)
how can i solve the integral to find g(t)?
if f(t)=0 for t<0 and f(t)=1 for t>=0 how can i say that y(t)= 1/2t^2?
 
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First of all thank you for the answer :)
My problem is that i don't know why the inverse Fourier tranform of -1/w^2 is tsgn(t).
using the definition of inverse Fourier transform I have to calculate an integral from -infinity to +infinity of a function that has some issue in w=0.
I can use Jordan's lemma and the residue theorem but w=0 lies on the integration's curve and it's a second order pole.. how can i overcome this problem?
 
Don't use the definition of inverse Fourier transform. Use the properties of Fourier transform. We know that the Fourier transform of sgn(t) is ##\frac{1}{iw}## (you can prove this by the definition of Fourier transform). Therefore by a known property of Fourier transform (property 107 here https://en.wikipedia.org/wiki/Fourier_transform#Tables_of_important_Fourier_transforms)

it follows that the Fourier transform of ##t~sgn(t)## will be

##i\frac{d}{dw}(\frac{1}{iw})=-\frac{1}{w^2}##
 
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Thank you very much, this is a very simple and smart method to calculate some Fourier transforms :) i will keep that in mind.
 
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If you are using the Fourier transform to solve this kind of problem then you need to be a little more careful. The solution of
<br /> -\omega^2 Y(\omega) = F(\omega)<br />
is
<br /> Y(\omega) = - \frac{1}{\omega^2} F(\omega) + a \, \delta(\omega) + b \, \delta^\prime(\omega),<br />
where ##a## and ##b## are arbitrary constants that you determine by using your initial conditions.

By the way, the Laplace transform is a more straightforward way of solving these kind of problems, in my opinion.

Jason
 
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Thank you :) yes i know that i have to add the solution of the associated homogeneus equation to find the complete solution..I wanted to use ft to solve this ode because i haven't studied laplace transform yet, thanks for the advice!
 
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