Struggling with Fourier Transform in Math Methods Class

In summary, the student is struggling with differential equations, and is having trouble with a particular problem. They attempted to solve it, but got stuck with the Q, \frac{1}{D}, \frac{1}{(w^{2}+k^{2})}. They believe that it may be related to the Heaviside step function and that it might have something to do with absolute values.
  • #1
rdfloyd
29
0
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 [itex]Q, \frac{1}{D}, \frac{1}{(w^{2}+k^{2})}[/itex]. Is it possible to split the [itex]\Delta[w][/itex] up from the fraction, because that would just be back to [itex]\delta[x][/itex].

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

Thanks!
 
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  • #2
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.
 
  • #3
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.
 
  • #4
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.
 
  • #5
That's the first time I've heard of the Heaviside. What are it's uses (not only to this problem)?
 
  • #6
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.
 

FAQ: Struggling with Fourier Transform in Math Methods Class

What is the Fourier Transform of an ODE?

The Fourier Transform of an ODE (Ordinary Differential Equation) is a mathematical tool used to transform a differential equation from the time domain to the frequency domain. This allows for the analysis and understanding of the frequency components present in the system.

Why is the Fourier Transform of an ODE important?

The Fourier Transform of an ODE is important because it allows for the simplification and solving of complex differential equations. It also provides insight into the behavior of the system in terms of frequency components, which can be useful in applications such as signal processing and control systems.

How is the Fourier Transform of an ODE calculated?

The Fourier Transform of an ODE is calculated using the Fourier transform pair, which is a mathematical relationship between a function in the time domain and its representation in the frequency domain. This involves taking the integral of the function multiplied by a complex exponential and evaluating it over a specific range.

What are the limitations of the Fourier Transform of an ODE?

The Fourier Transform of an ODE has some limitations, such as the requirement for the function to be integrable over a finite range, and the assumption of linearity and time-invariance of the system. It also cannot be applied to systems with discontinuities or non-periodic signals.

How is the Fourier Transform of an ODE used in practical applications?

The Fourier Transform of an ODE is used in many practical applications, including signal processing, control systems, and image processing. It is also commonly used in physics and engineering for the analysis and understanding of systems and their behavior in terms of frequency components.

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