The period, angular frequency of a piecewise function

Join the discussion
Registration is free. Ask a follow-up in this thread, or start your own.
20 replies · 4K views
TheSodesa
Messages
224
Reaction score
7

Homework Statement


The function ##f## is defined as follows:
\begin{equation*}
f(t) =
\begin{cases}
1, \text{ when } 2k < t < (2k+1),\\
0, \text{ when } t = k,\\
2, \text{ when } (2k-1) < t < 2k, & k \in \mathbb{Z}\\
\end{cases}
\end{equation*}

What is the period ##T## of the function ##f##? How about angular frequency? Calculate the following definite integrals:
[tex] a_n = \frac{2}{T}\int_{0}^{T} f(t) \cos (n \omega t) dt <br /> \text{ and }<br /> b_n = \frac{2}{T}\int_{0}^{T} f(t) \sin (n \omega t) dt,[/tex]
where ##n = 0,1,2, \ldots##

Homework Equations


Angular freguency:
\begin{equation}
\omega = 2 \pi f = \frac{2 \pi}{T}
\end{equation}

The Attempt at a Solution


I should preface this by saying, that something in me thinks this should be a simple problem, and that I'm just confused by the notation used.

Anyways, I started by cataloging how the function should behave with different values of ##k \in \mathbb{Z}##:
\begin{array}{ | l | c | c | c | c | c | c |}
\hline
k & 2k-1 & 2k & 2k+1 & f(t), (2k-1) < t < 2k & f(t), t = k & f(t), 2k < t < (2k+1)\\
\hline
0 & -1 & 0 & 1 & 2 & 0 & 1\\
1 & 1 & 2 & 3 & 2 & 0 & 1\\
2 & 3 & 4 & 5 & 2 & 0 & 1\\
3 & 5 & 6 & 7 & 2 & 0 & 1\\
4 & 7 & 8 & 9 & 2 & 0 & 1\\
\hline
\end{array}
It looks like ##f## will repeat in intervals of ##2##, since whenever ##k## is increased by ##1##, the domain of ##f## is shifted by ##2## to the right, and within that new domain ##f## is defined identically. Now here's the first thing that confuses me: I know I can test for periodicity by plugging ##t+T## in place of ##t## in ##f(t)##. However, here it wouldn't create a nice expression that simplified into the original through trig symmetry or some other trick. How can I show in writing, that what I stated above is true, or is the above intuitive realization enough for a proof?

Moving on, assuming the period was 2 implies that ##\omega = \frac{2 \pi}{2} = \pi##. Which leads us into the integration part of the problem, where another confusing thing occurs. Evaluating the integral seems simple enough: just split it into two parts between ##0## and ##T = 2## based on how ##f## is defined. However, in the assignment it is stated that ##n \in {0} \cup \mathbb{N}##. Does this mean I need to evaluate the integral infinitely many times, since the expression contains an ##n## that gains all of those values? Of course not, but I have no idea what this means in practise.

Help a derp, please?
 
Physics news on Phys.org
PeroK said:
The first task is to draw the graph of ##f##. Can you describe in 1-2 simple sentences what ##f## looks like?
I did this in GeoGebra, and it looks like a step function that has a period of 2, except that the function is zero when ##t \in \mathbb{Z}## and varies between 2 and 1 between the integers.

Maybe I should do a Matlab implementation of the picture because of GG limitations...
 
TheSodesa said:
I did this in GeoGebra, and it looks like a step function that has a period of 2, except that the function is zero when ##t \in \mathbb{Z}## and varies between 2 and 1 between the integers.

Could I sketch the function based on your description? If I hadn't seen the formula? It's a good idea to be precise in mathematics.

By the way, setting ##f(t) =0## on a finite (or countable) set of points will make no difference to any integrals.
 
PeroK said:
Could I sketch the function based on your description? If I hadn't seen the formula? It's a good idea to be precise in mathematics.

By the way, setting ##f(t) =0## on a finite (or countable) set of points will make no difference to any integrals.

Alright, let's try again. Let ##k \in \mathbb{Z}##. Between -1 and 0, ##f(t) = 2## and between 0 and 1 ##f(t) = 1##. The function repeats this pattern ad infinitum with what seems to be a period of 2, shifting between the values 2 and 1 while being zero when ##t = k##.

Is this any better?
 
TheSodesa said:
Alright, let's try again. Let ##k \in \mathbb{Z}##. Between -1 and 0, ##f(t) = 2## and between 0 and 1 ##f(t) = 1##. The function repeats this pattern ad infinitum with what seems to be a period of 2, shifting between the values 2 and 1 while being zero when ##t = k##.

Is this any better?

Okay, so you've got ##f(t)## figured out. What about ##\cos(n\omega t)##?
 
PeroK said:
Okay, so you've got ##f(t)## figured out. What about ##\cos(n\omega t)##?
Since we have now established, that our period seems to be 2, our angular frequency ##\omega = \pi \Rightarrow \cos (n \omega t) = \cos (n \pi t)##. Here ##n \pi## increases the frequency by multiples of ##\pi##, while dividing the period by the same factor. Cosine of ##t## has a period of ##2 \pi##, so ##\cos (n \pi t) = \cos (n \pi t + \frac{2\pi}{n\pi}) = \cos (n \pi t + \frac{2}{n})##.

In other words, unless ##n = 0##, in which case ##cos(n\pi t) = 1##, ##\cos (n \pi t)## is just the usual cosine function with it's frequency increased, meaning it is squished in the ##t##-direction.
 
PeroK said:
I'm not sure I see the point of this question. If ##T=2## you just have to integrate over ##(0,1)## and ##(1,2)## on which ##f(t)## is constant.

I should have prefaced this by saying, that this is the first week of a course of Fourier methods, and the teacher gave us review excercises for homework, before we get into the proper subject matter. I wouldn't say this question is pointless since it is giving me a headache.

Are you saying, that the ##n## is there just to throw me off? Surely the integral evaluates differently depending on the value of ##n## in that interval?
 
TheSodesa said:
I should have prefaced this by saying, that this is the first week of a course of Fourier methods, and the teacher gave us review excercises for homework, before we get into the proper subject matter. I wouldn't say this question is pointless since it is giving me a headache.

Are you saying, that the ##n## is there just to throw me off? Surely the integral evaluates differently depending on the value of ##n## in that interval?

Yes, you can go ahead and evaluate them. See what you get.
 
PeroK said:
Yes, you can go ahead and evaluate them. See what you get.
Alright, it took me a moment, but the results I got are as follows:

[tex]a_n = \frac{2 \sin (2 \pi n) - \sin (n \pi)}{n \pi}, n \neq 0[/tex]
and
[tex]b_n = \frac{1 + \cos(n \pi) - 2 \cos (2 n \pi)}{n \pi}, n \neq 0.[/tex]
So even though it was originally stated, that ##n \in {0,1,2,...}##, ##n## can't be zero. Otherwise this was pretty straightforward.

EDIT: A mistake in ##b_n##: Forgot to include the factor 2 in front of ##\cos (2 \pi n)##.
 
Last edited:
TheSodesa said:
Alright, it took me a moment, but the results I got are as follows:

[tex]a_n = \frac{2 \sin (2 \pi n) - \sin (n \pi)}{n \pi}, n \neq 0[/tex]
and
[tex]b_n = \frac{1 + \cos(n \pi) - \cos (2 n \pi)}{n \pi}, n \neq 0,[/tex].
So even though it was originally stated, that ##n \in {0,1,2,...}##, i can't be zero. Otherwise this was pretty straightforward.

You can't stop there! You'll have to simplify those expressions.
 
PeroK said:
You can't stop there! You'll have to simplify those expressions.

Using trig identities doesn't seem to allow us to get rid of that annoying ##n \pi## in the denominator, which is why I assume we should be trying to simplify these even further. I'm a bit lost here.
 
TheSodesa said:
Using trig identities doesn't seem to allow us to get rid of that annoying ##n \pi## in the denominator, which is why I assume we should be trying to simplify these even further. I'm a bit lost here.

Let me help you a little bit: ##\sin(n\pi) = 0##.
 
PeroK said:
Let me help you a little bit: ##\sin(n\pi) = 0##.

Of course. o:)
So ##a_n = 0##.

As for ##b_n##, [tex]\cos(2 \pi n) = 1 \Rightarrow \frac{1 + \cos(n \pi) - 2\cos(2 \pi n)}{n \pi} = \frac{1+\cos(n \pi) - 2}{n \pi} = \frac{\cos(n \pi) - 1}{n \pi}[/tex]
 
TheSodesa said:
Of course. o:)
So ##a_n = 0##.

As for ##b_n##, [tex]\cos(2 \pi n) = 1 \Rightarrow \frac{1 + \cos(n \pi) - 2\cos(2 \pi n)}{n \pi} = \frac{1+\cos(n \pi) - 2}{n \pi} = \frac{\cos(n \pi) - 1}{n \pi}[/tex]

Just a bit more to do ...

PS I take back what I said about this problem: it's a good work-out for the Fourier Analysis to come!
 
PeroK said:
Just a bit more to do ...

PS I take back what I said about this problem: it's a good work-out for the Fourier Analysis to come!

As far as I can see, the only thing we can do at this point is to say, that if ##n## is even, ##b_n = 0## , and if ##n## is odd, ##b_n = \frac{-2}{n\pi}, n \neq 0##.
 
TheSodesa said:
As far as I can see, the only thing we can do at this point si to say, that if ##n## is even, ##b_n = 0## , and if ##n## is odd, ##b_n = \frac{-2}{n\pi}, n \neq 0##.

Yes. This sort of thing with ##1 \pm \cos(n\pi)## crops up frequently, so it's worth remembering this.
 
PeroK said:
Yes. This sort of thing with ##1 \pm \cos(n\pi)## crops up frequently, so it's worth remembering this.
Alright, thank you very much.

One last thing that is still bothring me is the fact that there were ##n##'s in the denominators of the expressions that reduced to zero as well. Do we not need to worry about those, or should I have included ##n \neq 0## with those as well?
 
TheSodesa said:
Alright, thank you very much.

One last thing that is still bothring me is the fact that there were ##n##'s in the denominators of the expressions that reduced to zero as well. Do we not need to worry about those, or should I have included ##n \neq 0## with those as well?

Technically, you still have ##n=0## to do. These are special cases, as ##\sin## and ##\cos## are constant. One thing to remember is that you cannot differentiate or integrate these and then plug in ##n=0## later. You must treat them as constant functions from the outset. It's the same with trig identities. You can easily go wrong if you don't exclude ##n=0## before you use an identity.
 
PeroK said:
Technically, you still have ##n=0## to do. These are special cases, as ##\sin## and ##\cos## are constant. One thing to remember is that you cannot differentiate or integrate these and then plug in ##n=0## later. You must treat them as constant functions from the outset. It's the same with trig identities. You can easily go wrong if you don't exclude ##n=0## before you use an identity.

Ok, but I think I have spent long enough on this problem. I have other work to do as well. I'll ask about the ##n = 0## case when I turn these in.