Fourier Transform question, is it correct to remove the correcting factor?

In summary, my math professor doesn't include the correcting (normalizing factor) neither in the Fourier transform nor in the inverse Fourier! He says that it's optional. It is weird because I have seen it used in all the textbooks! Is it a big deal?
  • #1
thecake
12
0
My math professor doesn't include the correcting (normalizing factor) neither in the Fourier transform nor in the inverse Fourier! He says that it's optional.
It is weird because I have seen it used in all the textbooks! Is it a big deal?

He defines the Fourier transform as:-

http://img685.imageshack.us/img685/3822/56167015.jpg


And inverse as:-

http://img218.imageshack.us/img218/8430/25649157.jpg
 
Last edited by a moderator:
Physics news on Phys.org
  • #2
You might want to take another look at the Fourier transforms in those pictures... They don't make sense.

As for your answer: yes, it does matter. The constant in front is a normalization factor. If you have a function f(x) and you Fourier transform it, followed by the inverse transform, then you should expect to get the same function back, f(x). But without the normalization factor you will always get back [itex]2\pi f(x)[/itex] -- which is why you need the normalization in front. Just try it out with some function like [itex]\sin(\pi x)[/itex]

You can also use the following conventions

[tex] F(\omega) = \int f(x) e^{-2\pi i \omega x} dx[/tex]
and for the inverse
[tex] f(x) = \int F(\omega) e^{2\pi i \omega x} dx[/tex]

No normalization is needed, but the [tex]2\pi[/tex] still pops up somewhere.
 
  • #3
xepma said:
You might want to take another look at the Fourier transforms in those pictures... They don't make sense.

Well, that's what I have written in my notes, what's wrong?
Omega is the angular frequency
Inline28.gif

Though he never substitutes it.

xepma said:
As for your answer: yes, it does matter. The constant in front is a normalization factor. If you have a function f(x) and you Fourier transform it, followed by the inverse transform, then you should expect to get the same function back, f(x). But without the normalization factor you will always get back [itex]2\pi f(x)[/itex] -- which is why you need the normalization in front. Just try it out with some function like [itex]\sin(\pi x)[/itex]

So, should I go have a talk with him?


xepma said:
You can also use the following conventions

[tex] F(\omega) = \int f(x) e^{-2\pi i \omega x} dx[/tex]
and for the inverse
[tex] f(x) = \int F(\omega) e^{2\pi i \omega x} dx[/tex]

No normalization is needed, but the [tex]2\pi[/tex] still pops up somewhere.
But the questions are multiple choice, so if I use a different form I'd get a different answer :(
 
Last edited by a moderator:
  • #4
thecake said:
Well, that's what I have written in my notes, what's wrong?
Omega is the angular frequency
Inline28.gif

Though he never substitutes it.
I'm afraid they can't be correct -- really. In the first you integrate over t, while the function f is a function of x. That means you can just pull this function out of the integral! The same goes for the inverse: you integrate over t, while the function F is a function of x... it simply doesn't make sense.

So:
[tex] \int f(x) e^{i\omega t} dt = f(x) \int e^{i\omega t} dt[/tex]

Do you see why this is true?




So, should I go have a talk with him?
If you're notes are incorrect, then you're teacher might still be right, depending on his conventions for the transform. It's best to ask him what conventions he uses precisely. I can assure you that what you've written here is either incorrect, or some information is missing.

But the questions are multiple choice, so if I use a different form I'd get a different answer :(

:/
 
Last edited by a moderator:
  • #5
xepma said:
I'm afraid they can't be correct -- really. In the first you integrate over t, while the function f is a function of x. That means you can just pull this function out of the integral! The same goes for the inverse: you integrate over t, while the function F is a function of x... it simply doesn't make sense.

So:
[tex] \int f(x) e^{i\omega t} dt = f(x) \int e^{i\omega t} dt[/tex]

Do you see why this is true?





If you're notes are incorrect, then you're teacher might still be right, depending on his conventions for the transform. It's best to ask him what conventions he uses precisely. I can assure you that what you've written here is either incorrect, or some information is missing.



:/

You're right it is a function of (t) xD! Silly me. I've just checked.
So is he right after all?
 

FAQ: Fourier Transform question, is it correct to remove the correcting factor?

What is the Fourier Transform?

The Fourier Transform is a mathematical operation that decomposes a signal into its constituent frequencies. It is commonly used in signal processing and image analysis to analyze and manipulate data in the frequency domain.

How is the Fourier Transform calculated?

The Fourier Transform is calculated using an integral equation that involves the signal of interest and a complex exponential function. This equation is used to determine the amplitude and phase of each frequency component in the signal.

What is the purpose of the correcting factor in the Fourier Transform?

The correcting factor in the Fourier Transform is used to adjust the amplitude of the frequency components in the transformed signal. This factor is necessary to ensure that the transformed signal has the same energy as the original signal.

Is it necessary to remove the correcting factor in the Fourier Transform?

In most cases, it is not necessary to remove the correcting factor in the Fourier Transform. However, in some special cases, such as when dealing with discrete signals, the correcting factor may need to be removed to obtain the desired results.

What are the implications of removing the correcting factor in the Fourier Transform?

Removing the correcting factor in the Fourier Transform can result in a signal with incorrect amplitude values. This can lead to errors in data analysis and interpretation. Therefore, it is important to carefully consider whether the correcting factor should be removed or not.

Similar threads

Replies
1
Views
995
Replies
11
Views
1K
Replies
3
Views
2K
Replies
2
Views
3K
Replies
1
Views
3K
Replies
5
Views
7K
Replies
5
Views
1K
Replies
1
Views
3K
Back
Top