Fourier Series of Sawtooth Wave from Inverse FT

In summary, the conversation is discussing the process of finding the Fourier series of a sawtooth function using the formula for a periodic function and its coefficients. The steps and equations for finding the coefficients and the Fourier series are explained and there is a question about the correctness of the final result. Additionally, there is a question about getting rid of the imaginary terms in order to plot the function.
  • #1
roam
1,271
12

Homework Statement


I want to find the Fourier series of the sawtooth function in terms of real sine and cosine functions by using the formula:

$$f_p (t)=\sum^\infty_{k=-\infty} c_k \exp \left(j2\pi \frac{k}{T}t \right) \tag{1}$$

This gives the Fourier series of a periodic function, with the coefficients:

$$c_k = \frac{1}{T} F \left( \frac{k}{T} \right) \tag{2}$$

where the capital letter denotes the Fourier transform.

Homework Equations



Equation (1) and (2) above are found by considering the IFT which recovers ##f_p## from ##F_p##:

$$\intop^\infty_{-\infty} F_p (\nu) e^{j2\pi \nu t} \ d\nu = \intop^\infty_{-\infty} \frac{1}{T} \sum^\infty_{-\infty} F \left( \frac{k}{T} \right) \delta(\nu - \frac{k}{T}) e^{j2\pi \nu t} \ d\nu=\sum^\infty_{-\infty} \frac{1}{T} F \left( \frac{k}{T} \right) e^{j2\pi \frac{k}{T} t}$$

The Attempt at a Solution


[/B]
By using a low pass rectangular filter, a single period of the sawtooth function is given by

$$f(t)=t\Pi\left(\frac{t}{T}\right)$$

Since we have the following Fourier transform pair:

$$t \leftrightarrow \frac{j \delta'(\nu)}{2 \pi}$$

We can write the FT of a single period of the sawtooth wave as:

$$F(\nu)=\frac{j\delta'\left(\nu\right)}{2\pi}*T\ sinc\left(\nu T\right)=\frac{jT}{2\pi}\ sinc^{\prime}(\nu T)=\left(\frac{jT}{2\pi}\right)\left(\frac{\cos(\pi\nu T)}{\nu T}-\frac{\sin(\pi\nu T)}{\pi\nu^{2}T^{2}}\right)$$

Using equation (2), we get the coefficients:

$$c_{k}=\frac{1}{T}\left(\frac{jT}{2\pi}\right)\left(\frac{\cos(\pi\frac{k}{T}T)}{\frac{k}{T}T}-\frac{\sin(\pi\frac{k}{T}T)}{\pi\left(\frac{k}{T}\right)^{AC2}T^{2}}\right)=\frac{j}{2\pi}\left(\frac{\cos(\pi k)}{k}-\frac{\sin(\pi k)}{\pi k^{2}}\right).$$

And therefore, the Fourier series becomes:

$$f_{p}(t)=c_{k}\ e^{j2\pi\frac{k}{T}t}=\frac{j}{2\pi}\left(\frac{\cos(\pi k)}{k}-\frac{\sin(\pi k)}{\pi k^{2}}\right)e^{j2\pi\frac{k}{T}t}$$

But this does not look correct (it is very different than the Fourier series of the sawtooth given here). Since the sawtooth function is odd, I think we must only have the sine terms present. What is wrong here?

Also, because I need to plot this function, how can I get rid of the ##j## terms?

Any help would be appreciated.
 
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  • #2
roam said:
using a low pass rectangular filter, a single period of the sawtooth function is given by

f(t)=tΠ(t/T)​
Can you explain this ? With some pictures preferably ? It doesn't look to me like ##s(x) ={x\over \pi}## at all ?
 
Last edited:
  • #3
Where'd the delta function come from?? it isn't part of the expression you derived for the coefficients. Notation, notation, notation, be consistent and explicit. Do the integrals and the answer will pop out quickly, it isn't a hard problem to solve.
 

1. What is a Fourier Series of Sawtooth Wave from Inverse FT?

The Fourier Series of Sawtooth Wave from Inverse FT is a mathematical representation of a sawtooth wave as a sum of sinusoidal waves with different frequencies, amplitudes, and phases. It is obtained by applying the Inverse Fourier Transform (FT) to the Fourier Series of a sawtooth wave.

2. How is a Sawtooth Wave represented in a Fourier Series?

In a Fourier Series of Sawtooth Wave, the sawtooth wave is represented as a sum of a DC component and an infinite number of sinusoidal waves with frequencies that are integer multiples of the fundamental frequency.

3. Why is the Fourier Series of Sawtooth Wave important in signal processing?

The Fourier Series of Sawtooth Wave is important in signal processing because it allows us to analyze and manipulate signals in the frequency domain. It also provides a way to approximate complex signals with simpler sinusoidal components, making it easier to understand and work with signals.

4. How is the Fourier Series of Sawtooth Wave used in practical applications?

The Fourier Series of Sawtooth Wave has various practical applications, such as in audio and video signal processing, image compression, and data analysis. It is also used in the design of electronic circuits and communication systems.

5. Can the Fourier Series of Sawtooth Wave be used for non-periodic signals?

No, the Fourier Series of Sawtooth Wave can only be used for periodic signals. For non-periodic signals, the Fourier Transform is used instead. However, the Fourier Series can be used to approximate non-periodic signals by considering them as periodic with a very large fundamental period.

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