Fourier evaluation of Series HELP

In summary: Please show us your working and we will be able to help you find where you went wrong, if you are unable to find it yourself.
  • #1
chief10
78
0
Fourier evaluation of sum HELP

Homework Statement



Consider the signal:
f(t) = |sint|, -pi/2 < t < pi/2 where f(t) = f(t+pi)

Homework Equations



Fourier.

The Attempt at a Solution



I determined the General Fourier Series representation for f(t) below:

2/pi +4/pi + Ʃ(-1/(4n^2))*cos(2nt)

The question then asks to evaluate the sum: (using the general Fourier representation that was just solved)

Ʃ (-1^n)/((4n^2)-1)

I don't know how to approach or even figure this out.

(all sigmas are from n=1 to infinity).

Any help would be much appreciated. I've attached an image to help visualize a bit better if needed. IMAGE
 
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  • #2
  • #3
Evaluate the series where? And where does the -1 in the denominator come from?
$$\frac{1}{4n^2-1} = \frac{1}{(2n-1)(2n+1)} = \dots$$
 
  • #4
Simon Bridge said:
Question asks to evaluate what series - the Fourier series?
Presumably you have just had a section in your coursework on Fourier series ... what does it say?

The bit marked GS is a general solution to what?

Have you seen:
http://tutorial.math.lamar.edu/Classes/DE/FourierSeries.aspx

Not sure. The coursework doesn't mention using representations to solve series'. That's why I'm a little confused.

mfb said:
Evaluate the series where? And where does the -1 in the denominator come from?
$$\frac{1}{4n^2-1} = \frac{1}{(2n-1)(2n+1)} = \dots$$

I reworded it all to eliminate confusion (hopefully). Thanks for responding.
 
  • #5
Have I got this right?
You have to evaluate the sum: $$\sum_{n=0}^\infty\frac{(-1)^n}{4n^2-1}$$

using: $$|\sin t| = \frac{6}{\pi}-\sum_{n=0}^\infty \frac{\cos 2nt}{4n^2}$$
 
  • #6
Simon Bridge said:
Have I got this right?
You have to evaluate the sum: $$\sum_{n=0}^\infty\frac{(-1)^n}{4n^2-1}$$

using: $$|\sin t| = \frac{6}{\pi}-\sum_{n=0}^\infty \frac{\cos 2nt}{4n^2}$$

You have got that right, granted I solved the general representation of the Series correctly.

One thing is that n=1, you have n=0 there.
 
  • #7
Double check you cos series.

2/pi +4/pi + Ʃ(-1/(4n^2))*cos(2nt)

Hint: This is close but wrong.


The term inside the summation should look like

[itex] \sum \frac{-1}{4n^2-1} cos \alpha_n t [/itex]

After you figure out what the correct series is, you'll have to figure out how to relate [itex] \sum \frac{-1}{4n^2-1} cos \alpha_n t [/itex] and [itex] \sum \frac{(-1)^n}{4n^2-1} [/itex]...

At what value of t are the two sums equal?
What is |sin t| at this t?
 
  • #8
I can't seem to pinpoint where the error is. I'm sure the cos reads cos(2t).

I'm probably making the simplest of errors.

I'm still unsure of what I would do with the next sum though.

Are we talking pi/4 for t where they're equal or?
 
  • #9
If you show us your calculations for the coefficients ##a_n##, we can help find where you went wrong.
 
  • #10
Yeah don't worry about it.

I think posting here has just confused me more with everyone saying differing things.


Ill ask a friend or something. Thank you for the effort though.
 
  • #11
A question, does anyone here actually know how to solve it? Just out of curiosity guys and girls.
 
  • #12
Yes.
 
  • #13
vela said:
Yes.

i've noticed you haven't posted in the thread.

any ideas? I've asked around from a few guys I know and I can't seem to figure this out.
 
  • #14
The Wolfman essentially told you how to do it. The first thing you need to do is get the correct Fourier series. Until you do that, you can't really go on.

I did post earlier, suggesting you show your calculations to find the Fourier coefficients, but you didn't seem interested in doing that.
 
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  • #15
A question, does anyone here actually know how to solve it? Just out of curiosity guys and girls.
We've all solved it already ... but the point is to get you to solve it.

When you throw a question open it is not terribly unusual to get a variety of answers - part of the skill is to sort through them. However, in this case, the replies are far from contradictory or, even, varied. We all agree that you have the incorrect Fourier series - granted it's close... we all agree you need to fix that before you can continue.

You seem to be having trouble finding where you went wrong.

Is there some reason you don't want to show us your working?
Unless you show us your working - we cannot help you.
 

FAQ: Fourier evaluation of Series HELP

What is Fourier evaluation of series?

The Fourier evaluation of series is a mathematical technique that allows us to represent a periodic function as a sum of simple sine and cosine functions. It is based on the concept that any periodic function can be broken down into a series of sinusoidal functions with different amplitudes, frequencies, and phases.

2. How is Fourier evaluation of series used in science?

Fourier evaluation of series is used in various fields of science, such as physics, engineering, and signal processing, to analyze and understand complex periodic phenomena. It is also used in solving differential equations and in data compression techniques.

3. What are the main components of Fourier evaluation of series?

The main components of Fourier evaluation of series are the Fourier coefficients, which represent the amplitudes, frequencies, and phases of the sinusoidal functions, and the Fourier series, which is the sum of these coefficients multiplied by their respective sinusoidal functions.

4. What are the advantages of using Fourier evaluation of series?

Fourier evaluation of series allows us to simplify complex periodic functions and make them easier to analyze. It also provides a way to approximate a function with a finite number of terms, making it useful for data compression and signal processing. Additionally, it is a powerful tool for solving differential equations and other mathematical problems.

5. Are there any limitations to Fourier evaluation of series?

While Fourier evaluation of series is a powerful mathematical tool, it does have some limitations. It is only applicable to periodic functions, and the accuracy of the approximation depends on the number of terms used in the series. It also assumes that the functions are continuous and have a finite number of discontinuities.

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