Exploring Fourier Series: Uncovering the Mysteries of an Arbitrary Function

In summary, the Fourier series allows us to represent an arbitrary function within a given interval, even if the function does not continue or repeat outside this interval. However, outside the interval, the Fourier series will repeat itself faithfully from period to period, regardless of whether the given function continues. This applies to any arbitrary function specified over a finite range and there can be an infinite number of Fourier series expansions with different fundamental periods that can reproduce the function within the given range. However, outside this range, different expansions may have entirely different values depending on the choice of fundamental period and the waveform within the given interval.
  • #1
DUET
55
0
The Fourier series can be used to represent an arbitrary function within the interval from - π to + π even though function does not continue or repeat outside this interval. Outside this interval the Fourier series expression will repeat faithfully from period to period irrespective of whether the given function continues. The same remarks apply to any arbitrary function which is specified over any finite range, say from t=0 to t=t0. An infinite number of Fourier series expansion with fundamental periods T≥t0 can be found such that they all reproduce f(t) within the given range. Outside this range, different expansion may have entirely different values, depending upon the choice of T as compared with t0 and of the waveform in the interval from t= t0 to T, which is entirely arbitrary except that the Dirichlet conditions must be satisfied.

I was reading a book, Analysis of linear systems-by David K. Cheng, to learn Fourier series. I have understood every think except the above writing. Could someone please explain me the purpose of the above writing?
 
Mathematics news on Phys.org
  • #2
Here's a simple example:

Suppose you have a function f(t) defined on the range 0<t<a

Then two possible Fourier series for f(t) are the Fourier sine series and the Fourier cosine series.

You can obtain the sine series by defining f(t) to be an odd function i.e. define it on -a<t<a with f(-t) = -f(t) and finding the Fourier series for this function which will just have sine terms.

Similarlly you could obtain a cosine series by defining f(t) even.Basically, there's more than one way to represent a function as a Fourier series in the given range, the only difference is what the Fourier series does outside that range.
 
  • #3
The Fourier series can be used to represent an arbitrary function within the interval from - π to + π even though function does not continue or repeat outside this interval. Outside this interval the Fourier series expression will repeat faithfully from period to period irrespective of whether the given function continues.

What does the above writing suggest?
 
  • #4
Marioeden said:
Here's a simple example:Basically, there's more than one way to represent a function as a Fourier series in the given range, the only difference is what the Fourier series does outside that range.
Could you explain the underlined part a little bit more?
 
  • #5
Here's a picture where ##f(x) = x^2## on the interval ##(-\pi,\pi)## is approximated by a few terms of a cosine FS. Notice that outside the interval, the FS does't represent the parabola.

fs.jpg
 
  • #6
Fourier function

The Fourier series can be used to represent an arbitrary function within the interval from - π to + π even though function does not continue or repeat outside this interval. Outside this interval the Fourier series expression will repeat faithfully from period to period irrespective of whether the given function continues.

What the above two sentence mean?
 
  • #7
Given a function defined on [itex][-\pi, \pi][/itex] or, more generally, [a, b] for any a< b, we can "extend" the function "by periociity". That is, define [itex]f(x+ 2n\pi)= f(x)[/itex] for any x outside that interval. Taking the Fourier series of a function from [itex]-\pi[/itex] to [itex]\pi[/itex] automatically makes that assumption.
 
Last edited by a moderator:
  • #8
DUET said:
Could you explain the underlined part a little bit more?

Well, your Fourier series is periodic. If you look at the sketch posted above you can see that the Fourier series replicates the function in the period given and then just repeats itself as a periodic function outside that interval (in the same way the simple trig functions do).

Moreover, if you can have two different Fourier series representations then they'll look the same for the period given but outside of that they could look very different.

As an example, try it for y=x^2 defines on the interval (0,1).

The cosine series will look as given in the sketch above, but the sine series will only look the same for half of the intervals and will behave differently elsewhere. Particularly in the interval (-1,0), where the cosine series will look like y=x^2 but the sine series will look like y=-x^2
 
  • #9
Moderator's note: related thread merged with this one (post #s 6 & 7)
 

1. What is a Fourier series?

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

2. How is a Fourier series calculated?

A Fourier series is calculated by using the Fourier coefficients, which are determined by integrating the function over one period. These coefficients represent the amplitude and phase of each sinusoidal component in the series.

3. What are the applications of Fourier series?

Fourier series have numerous applications in mathematics, physics, engineering, and other fields. They are used in signal processing, image and sound compression, solving differential equations, and studying the behavior of waves and vibrations.

4. Can any function be represented by a Fourier series?

Yes, any function that is periodic and has finite energy can be represented by a Fourier series. However, some functions may have infinitely many terms in their series, making it difficult to calculate or approximate.

5. What are the limitations of Fourier series?

Fourier series have limitations when applied to non-periodic functions, as they can only represent periodic functions. They also have difficulty representing functions with discontinuities or sharp edges, as the series may not converge or may require a large number of terms.

Similar threads

Replies
4
Views
749
  • General Math
Replies
9
Views
2K
Replies
23
Views
4K
  • Calculus and Beyond Homework Help
Replies
3
Views
250
Replies
3
Views
407
Replies
139
Views
4K
Replies
7
Views
1K
  • Linear and Abstract Algebra
Replies
1
Views
1K
Replies
14
Views
3K
  • Calculus and Beyond Homework Help
Replies
6
Views
349
Back
Top