Fourier Transform of Periodic Functions

In summary,A tad embarrassed to ask, but I've been going in circles for a while! Maybe i'll rubber duck myself out of it.If f(t) = f(t+T) then we can find the Fourier transform of f(t) through a sequence of delta functions located at the harmonics of the fundamental frequency modulated by the Fourier Transform of the restricted function F_r(\omega).f(t) \leftrightarrow F_r(\omega) \frac{2\pi}{T} \sum_{n=-\infty}^{\infty} \delta(\omega - \frac{2n\pi}{T
  • #1
Joppy
MHB
284
22
A tad embarrassed to ask, but I've been going in circles for a while! Maybe i'll rubber duck myself out of it.

If \(\displaystyle f(t) = f(t+T)\) then we can find the Fourier transform of \(\displaystyle f(t)\) through a sequence of delta functions located at the harmonics of the fundamental frequency modulated by the Fourier Transform of the restricted function \(\displaystyle F_r(\omega).\)

\(\displaystyle f(t) \leftrightarrow F_r(\omega) \frac{2\pi}{T} \sum_{n=-\infty}^{\infty} \delta(\omega - \frac{2n\pi}{T})\)

Find the Fourier Transform of the following function,

\(\displaystyle f(t) = sin(t) + cos(t)\)

In order for this to be transformable, let's define our restrictive function \(\displaystyle f_r(t)\) to be,

\(\displaystyle f_r(t) =

\left\{ \begin{array}{rl}
sin (t) + cos (t) &\mbox{ \(\displaystyle -\frac{1}{2}T \le t < \frac{1}{2}T\)} \\
0&\mbox{ otherwise}
\end{array} \right.

\)

This function is periodic in \(\displaystyle 2\pi (T =2\pi)\), and is neither odd or even.

Since \(\displaystyle f_r(t)\) is absolutely integrable, we can find its Fourier Transform.

\(\displaystyle F_r(\omega) = \int_{-\frac{1}{2}T}^{\frac{1}{2}T} \,cos (t)e^{-i\omega t} + sin (t)e^{-i\omega t} dt\)

Now I've tried a few things from here to try make the process faster, but i can't seem to find any simplifications, especially since the function is neither odd or even, there can't be any cancellation of terms.

Of course I've tried brute forcing,\(\displaystyle F_r(\omega) = \int_{-\pi}^{\pi} \,cos (t)[cos(\omega t)) + isin(\omega t)] + sin (t)[cos(\omega t)) + isin(\omega t)]dt\)

and so on... But i yield nonsense results. If however this is the right, or at least one way of going about it, please let me know as I've probably just messed up the integration!

Furthermore, what do we do about \(\displaystyle \omega\)? Doesn't \(\displaystyle \omega = 2\pi f = \frac{2\pi}{T} = 1\) in this case?

I can't seem to find many resources outside of my notes that deal with F.T of periodic functions in this way.. Hence, my needing to consult you guys! :).

Thanks for your time.

EDIT: I'm guessing i should take advantage of the linearity property and find transforms for sin(t) and cos(t) separately (restricted of course).
 
Last edited:
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  • #2
Ok so i got \(\displaystyle F_r(\omega) = \pi (1+i)\) by brute force.. Which gives,

\(\displaystyle f(t) \leftrightarrow \pi (1+i) \sum_{n=-\infty}^{\infty} \delta (\omega - n)\)..

But the answer is,

\(\displaystyle \pi(1-i) \delta(\omega - 1) + \pi(1+i)\delta(\omega + 1)\)
 
  • #3
Hey Joppy! ;)

A periodic function has a Fourier series.
That is, it can be written as the sum of sines and cosines at discrete frequencies, which is exactly what you're doing here.

In your example $f(t)=\cos t + \sin t$, we have $T=2\pi$.
Btw, we shouldn't restrict $f$ - it's supposed to be periodic!

Obviously, this $f(t)$ is already the sum of sines and cosines.
We can write it as:
$$f(t) = \frac{a_0}2 + \sum a_n\cos nt + \sum b_n\cos nt$$
where $a_0=0, a_1=b_1=1$, and all other coefficients are zero.

From the wiki page, we can see that we can also write:
$$f(t) = \sum_{n=-\infty}^\infty c_n e^{-int}$$
where $c_0=0,\quad c_1=\frac 12{a_1-ib_1}=\frac 12(1-i),\quad c_{-1}=c_1^*=\frac 12(1+i)$, and all other coefficients are zero.

That is, we can write:
$$f(t) = \frac 12(1-i)e^{it} + \frac 12(1+i)e^{-it}$$

In other words, your $F_r(\omega)$ is:
$$F_r(\omega)= \begin{cases}
\frac 12(1-i) &\text{if } \omega=1 \\
\frac 12(1+i) &\text{if } \omega=-1 \\
0 &\text{otherwise}
\end{cases}$$
Oh, and you may have some normalization constant that we still need to multiply by or divide by, depending on which version of the Fourier transformation you're using.

Note that these are not delta functions.
 
  • #4
I like Serena said:
Hey Joppy! ;)

A periodic function has a Fourier series.
That is, it can be written as the sum of sines and cosines at discrete frequencies, which is exactly what you're doing here.

In your example $f(t)=\cos t + \sin t$, we have $T=2\pi$.
Btw, we shouldn't restrict $f$ - it's supposed to be periodic!

I'm aware of this. And we should restrict f if we want to take the transform of it (using the definition i posted).

Alternatively we can do what you have done, and just find the F.S of our function, and take the transform of it. But i think using

\(\displaystyle f(t) \leftrightarrow F_r(\omega) \frac{2\pi}{T} \sum_{n=-\infty}^{\infty} \delta(\omega - \frac{2n\pi}{T})\)

we can sneakily avoid having to take the Fourier series and just re-define our function for one period, and find the transform of that (since after this, the function will be totally integrable and will have a F.T.)?
Note that these are not delta functions.

But we can express them as delta functions?
 
  • #5
Joppy said:
I'm aware of this. And we should restrict f if we want to take the transform of it (using the definition i posted).

Alternatively we can do what you have done, and just find the F.S of our function, and take the transform of it. But i think using

\(\displaystyle f(t) \leftrightarrow F_r(\omega) \frac{2\pi}{T} \sum_{n=-\infty}^{\infty} \delta(\omega - \frac{2n\pi}{T})\)

we can sneakily avoid having to take the Fourier series and just re-define our function for one period, and find the transform of that (since after this, the function will be totally integrable and will have a F.T.)?

But we can express them as delta functions?

We should only restrict ourselves to the period over which we integrate.
As I said, we're getting a transform for a Fourier series, which is based on the concept of having a periodic signal.
That's actually how mister Fourier originally set it up.
If we restrict the function to be zero outside of one period, that's not what we're doing.

With your definition of $F_r(\omega)$, which is not the actual transform, since it's multiplied by a sum of delta functions, they cannot be expressed as delta functions.
The actual transform does have delta functions.
Do you want the actual transform? Or the $F_r(\omega)$ as you've defined it?
 
  • #6
Using the following Fourier Transform pairs we can easily find $F(\omega)$;

$cos(\Omega t) \rightleftharpoons \pi (\delta(\omega - \Omega) + \delta(\omega + \Omega))$

$sin(\Omega t) \rightleftharpoons - i \pi (\delta(\omega - \Omega) - \delta(\omega + \Omega))$.
 

FAQ: Fourier Transform of Periodic Functions

What is the Fourier Transform of a periodic function?

The Fourier Transform of a periodic function is a mathematical tool that breaks down the function into its individual frequency components. It transforms a function from the time domain to the frequency domain, allowing us to understand the frequency content of the function.

How is the Fourier Transform of a periodic function different from that of a non-periodic function?

The main difference is that the Fourier Transform of a periodic function results in a discrete spectrum, while the Fourier Transform of a non-periodic function results in a continuous spectrum. This is because periodic functions repeat themselves over a specific interval, while non-periodic functions do not.

What is the relationship between the Fourier Transform and the Fourier Series of a periodic function?

The Fourier Transform and Fourier Series are closely related, with the Fourier Series being a special case of the Fourier Transform. The Fourier Series breaks down a periodic function into a sum of sinusoidal functions with discrete frequencies, while the Fourier Transform allows for any arbitrary frequency.

What are some common applications of the Fourier Transform of periodic functions?

The Fourier Transform of periodic functions is widely used in various fields such as signal processing, image processing, and data analysis. It is particularly useful in analyzing periodic signals, such as sound and vibration, and in removing noise from signals.

Are there any limitations or drawbacks to using the Fourier Transform for periodic functions?

One limitation is that the Fourier Transform assumes that the function is periodic over an infinite interval. In practice, this is not always the case, and the function may only be periodic over a finite interval. Another limitation is that the Fourier Transform is not able to handle functions with discontinuities or singularities, as they do not have a well-defined Fourier Transform.

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