Understanding Fourier Series: Solving Problems and Exploring Applications

In summary, the conversation discusses a solution to a problem involving the use of 2n-1 instead of n. The solution can be found at a specific URL. The reason for using 2n-1 instead of n is not fully understood, but it is known that 2n-1 is odd and this can be helpful in certain situations. The conversation also briefly mentions using Fourier Series in precalculus.
  • #1
fufufuha
6
0
http://www4.okfoto.co.kr/S_storage4/314500/A05120618494148_t.jpg http://www4.okfoto.co.kr/S_storage4/314500/A05120618494175_t.jpg
It's solution is http://www4.okfoto.co.kr/_Inc/Process/proSendbinaryHow.asp?w=400&h=400&path=\\100.100.100.11\link_album\pic_root\storage4\314500\A05120618494172.jpg
What I know is that insert 2n-1 instead of n
please... explain to me
I don't know this reason
 

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  • #2
Please make an effort to provide a more complete statement of your problem.
 
  • #3
First I'm sorry that I can't write english well.
I have a problem's solution.
But I don't understand solution
For example Another problem's solution is n instead of 2n-1
But this problem's solution uses 2n-1 instead of n
I understood that 2n-1 is odd
but why do 2n-1 instead of n ?
 
  • #4
When x= 1 or -1, 1-|x|= 0. Suppose you had just [itex]\frac{n\pi}{2}x[/itex]. Then for even values of n, x= 1, you would have [itex]cos(m\pi)[/itex] (m= n/2) which is either -1 or 1. By restricting the numerator to be odd, you are making sure that you always have, for x= 1, [itex]cos(\frac{\pi}{2})[/itex], [itex]cos(\frac{3\pi}{2})[/itex], etc.

By the way, how does one do Fourier Series in precalculus?
 
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FAQ: Understanding Fourier Series: Solving Problems and Exploring Applications

What is a Fourier series and what is it used for?

A Fourier series is a mathematical representation of a periodic function as a sum of sinusoidal functions. It is used to break down complex periodic functions into simpler components, making it easier to analyze and manipulate them.

What is the main problem associated with Fourier series?

The main problem with Fourier series is that it is only accurate for representing periodic functions, and not all functions are periodic. This means that the series may not converge or may not accurately represent the original function.

What is the Gibbs phenomenon in relation to Fourier series?

The Gibbs phenomenon is an overshoot or ringing effect that occurs at the discontinuities of a Fourier series approximation. It is a result of the series being unable to accurately represent sharp transitions in a function.

How can the Gibbs phenomenon be reduced?

The Gibbs phenomenon can be reduced by increasing the number of terms in the Fourier series or by using a different type of series, such as a Chebyshev series. It can also be minimized by smoothing out the discontinuities in the function being approximated.

What are some practical applications of Fourier series?

Fourier series are used in many fields, including signal processing, image and sound compression, and data analysis. They are also used in solving differential equations and in the study of heat transfer and vibrations.

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