Struggling with Fourier Transform in Math Methods Class

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SUMMARY

The discussion centers on the challenges faced by a student in a math methods class, specifically regarding the application of Fourier Transforms without prior knowledge of differential equations. The student understands the concept of Fourier Transforms but struggles with the inverse transformation involving the Dirac delta function and the Heaviside step function. Key insights include the relationship between the Dirac delta function and the Fourier Transform, as well as the derivative of the absolute value function in relation to the Heaviside function. The student expresses a desire to understand the broader applications of the Heaviside function beyond this specific problem.

PREREQUISITES
  • Understanding of Fourier Transforms
  • Familiarity with Dirac delta function properties
  • Basic knowledge of Heaviside step function
  • Concepts of inverse transformations in mathematics
NEXT STEPS
  • Study the properties and applications of the Dirac delta function
  • Learn about the Heaviside step function and its uses in signal processing
  • Explore inverse Fourier Transform techniques in detail
  • Investigate the relationship between absolute value functions and their derivatives
USEFUL FOR

Students in mathematics or engineering fields, particularly those studying signal processing, differential equations, or Fourier analysis.

rdfloyd
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I haven't had differential equations yet, so I am struggling in your math methods class. I understand what a Fourier Transform is, but I'm having trouble with this particular problem.

Homework Statement


Here's a screenshot. Better than I can write it.

http://i.imgur.com/PQ6tB.png

The Attempt at a Solution



Here's what I did:

http://i.imgur.com/JuUzu.jpg

The capital letters have already been transformed, so if I take the inverse transformation, I should end up with what I had to begin with.

Where I get stuck is with the Q, \frac{1}{D}, \frac{1}{(w^{2}+k^{2})}. Is it possible to split the \Delta[w] up from the fraction, because that would just be back to \delta[x].

If I'm completely wrong and beyond hope, just tell me and I will go cry in a corner.

Thanks!
 
Last edited:
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Oh hey, I think the issue may be that ##\delta[x]## is actually the dirac delta function, which has the property that
$$
\int_{-\infty}^\infty f(x)\delta(x)\, \mathrm{d}x = f(0)
$$
This would mean that
$$
\mathbb{F}[Q\delta(x)]=Q
$$
See if this fixes things. I tried the problem and still had a good deal of trouble with it :confused:, but you may be able to swing the rest from there.

PS: I'd be interested to see the rest of your solution when you get it. I suspect it may have to do with absolute values and or the step function.
 
Using what you said (which makes sense; can't believe I didn't see that), I got this:

http://i.imgur.com/lBkuj.jpg

There were absolute values, however, I omitted them because I didn't think they were necessary.
 
Hmmm...
You know how ##|x|## has slope -1 until ##x=0##, and then it has slope 1? I think you might be able to make this claim:
$$
\frac{\mathrm{d}|x|}{\mathrm{d}x}=2\mathbb{H}(x)-1\text{, where H is the Heaviside step function. Note also that}\\
\frac{\mathrm{d}\mathbb{H}}{\mathrm{d}x}=\delta(x)
$$
I have a suspicion this might be somehow related. I still haven't figured it out, but now it's starting to bother me.
 
That's the first time I've heard of the Heaviside. What are it's uses (not only to this problem)?
 
I don't know! In fact, I don't even know why or where I heard of it! But check this page out, it's pretty cool: http://mathworld.wolfram.com/HeavisideStepFunction.html
I guess if you wanted to, you could also represent the T=0 Fermi distribution using the Heaviside... Not sure that would actually be useful, though.
 

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