Fourier Transform Help ( f(x) = 1 )

In summary, the Laplace transform is a mathematical transform that can be used to transform a function from one space to another. It is a bit confusing to understand, but it can be integrated to get the desired result.
  • #1
FeDeX_LaTeX
Gold Member
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Hello,

In the past couple of days I have been looking at how to transform a function f(t) into another function F(s) via the Laplace transform, and have practiced performing simple Laplace transformations such at f(t) = sin(at), sinat, cos(at), eatf(t) and so on.

I looked on Wikipedia at a formula for the Fourier transform and it's a bit confusing; I know there are several types, here is a formula I found;

[tex]f(\xi) = \int_{-\infty}^{\infty} f(x)e^{-2\pi ix\xi}dx[/tex] for every real number ξ.

So if I say that f(x) = 1, then I end up with [tex]f(\xi) = \int_{-\infty}^{\infty}e^{-2\pi ix \xi}dx[/tex].

Integrating, we get

[tex]f(\xi) = -\frac{1}{2\pi ix \xi}e^{-2\pi ix \xi}[/tex].

However I'm stuck on how to evaluate this now, as I have to find the evaluation of the function at negative infinity and subtract that from the function evaluated at infinity (assuming ξ > 0, but when I do that I end up with an [tex]e^{\infty}[/tex] term when evaluating the function at negative infinity. Does this simply mean that it does not converge? Can you show me an example of a function that does converge? I tried using the Fourier transform on sin(x) earlier today and I ended up with [tex]f(\xi) = 0[/tex]...

Thanks.
 
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  • #2
The simplest theory I've studied to treat properly Fourier transformation requires that the function you want to transform belongs to L^1 or L^2, where L^1 and L^2 are particular spaces where [itex]f\in L^1 \Leftrightarrow \int_a^b |f|<+\infty[/itex] and [itex]f\in L^2 \Leftrightarrow \int_a^b |f|^2<+\infty[/itex]
http://en.wikipedia.org/wiki/Lp_space"
http://en.wikipedia.org/wiki/Locally_integrable_function"

For example, you can integrate [itex]e^{-a|x|}\,\,\,a>0[/itex] since it belongs to L^1.
Other functions that can be integrated are:
rect(ax)=1 if ax is in [-1/2,1/2], 0 elsewhere
tri(x)=1-|x|

To integrate f=1 and f=trigonometric function such sine and cosine, you need a more wide theory, the theory of distribution (I think it is called this way).

However, if you need, [itex]\mathcal{F}(1)=\delta(x)[/itex].http://en.wikipedia.org/wiki/Dirac_delta_function"
 
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  • #3
Hello,

Thanks for the reply. I think I understand what you're trying to say; that the definite integrals from a to b of the functions has to converge (not go to infinity)?

What are rect(x) and tri(x)?

I have lectures on Dirac's Delta function and I will look at these soon.

Thanks for your help.
 
  • #4
I think that rect(x) is the rectangle function, that it s step function that is 1 for a given integral and zero elsewhere, I am guessing that tri(x) is a triangle function which I would imagine is a straight line from (-1,0) to (0,1) and another line from (0,1) to (1,0).

The Dirac delta function is the answer to your question though.
 
  • #5
I wrote the definitions next to the functions. However, it is as hunt_mat says.
 
  • #6
Wow, excellent guess on my part!

I actually saw the definitions after I posted.
 

FAQ: Fourier Transform Help ( f(x) = 1 )

1. What is a Fourier Transform?

A Fourier Transform is a mathematical operation that converts a function of time or space into a function of frequency. It decomposes a function into its constituent frequencies, allowing for a better understanding of the underlying components of the function.

2. How do I perform a Fourier Transform?

To perform a Fourier Transform, you can use mathematical equations or software programs such as MATLAB or Python. First, you need to have a function in either the time or frequency domain. Then, you can apply the Fourier Transform formula or use the built-in functions in the software to calculate the transformed function.

3. What is the purpose of a Fourier Transform?

The purpose of a Fourier Transform is to analyze and understand the frequency components of a given function. It is used in a wide range of fields, including signal processing, image processing, and quantum mechanics. It allows for the identification of specific frequencies and patterns in a function, which can provide valuable insights and aid in problem-solving.

4. How is a Fourier Transform different from a Fourier Series?

A Fourier Series is used to represent a periodic function as a sum of sinusoidal functions, while a Fourier Transform is used to analyze a non-periodic function. A Fourier Transform produces a continuous spectrum of frequencies, while a Fourier Series produces a discrete set of frequencies. Additionally, a Fourier Series is limited to functions with a defined period, while a Fourier Transform can be applied to any function.

5. Can a Fourier Transform be applied to any function?

Technically, a Fourier Transform can be applied to any function, but it may not always be useful or practical. The function must be well-behaved and have a finite integral for the Fourier Transform to be meaningful. Additionally, some functions may require advanced mathematical techniques to perform the transform accurately.

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