Fourier series coefficient (half range)

In summary, the problem is to extend the function f(x) = 1 on the interval (0,1) to an even function P(x) and determine the Fourier coefficients using the equation an = 2/T ∫ P(x)cos(2nx/T) dx. However, there is confusion about the value of T and the choice of function P(x) to extend f(x) to.
  • #1
jmher0403
22
0

Homework Statement



f(x) = 1, 0<x<1

Extend f(x) t generate an even function P(x) and find Fourier coefficients

Homework Equations



an = 2/T ∫ P(x)cos(2nx/T) dx


The Attempt at a Solution



P(x) = 1, -1<x<1
0, -2<x<-1 , 1<x<2

even function so b0 = 0

Average of P(x) over T = 0.5

an = 2/n∏ sin (n∏x)

I got right upto here...

answer for the exercise says

an = 0 when n even
2/n∏ when n=1,5,9,13...
-2/n∏ when n = 3,7,11,15...

I am confused because isn't all mutiples of pi in a sine function all equal to 0?

Please help :(
 
Last edited:
Physics news on Phys.org
  • #2
jmher0403 said:

Homework Statement



f(x) = 1, 0<x<1

Extend f(x) t generate an even function P(x) and find Fourier coefficients

Homework Equations



an = 2/T ∫ P(x)cos(2nx/T) dx

The Attempt at a Solution



P(x) = 1, -1<x<1
0, -2<x<-1 , 1<x<2

What does T represent and what is it in this problem? Is it the full period? If so, with your choice of P(x), apparently T= 4? Is that what you used in your formulas? If you are going to extend f(x) = 1 on (0,1) to an even function, why not just use f(x) = 1 on (-1,1) for your function? I don't think you have given us a complete statement of the problem.
 

What is a Fourier series coefficient?

A Fourier series coefficient is a numerical value that represents the contribution of a particular frequency to a periodic function. It is used in the Fourier series expansion of a function, which breaks down a function into an infinite sum of sines and cosines of different frequencies.

What is the half range Fourier series expansion?

The half range Fourier series expansion is a special case of the Fourier series expansion where the function is defined only on half of its period. This means that instead of using a full period of the function, only half of the period is used to represent the function. This is useful for functions that have symmetry about the midpoint of their period.

How are half range Fourier series coefficients calculated?

The half range Fourier series coefficients can be calculated using the following formula:
cn = (2/T) * ∫0T/2 f(x) * cos(nπx/T) dx
where T is the period of the function and f(x) is the half range function. This formula can be used to calculate both the cosine and sine coefficients.

What is the difference between full range and half range Fourier series coefficients?

The main difference between full range and half range Fourier series coefficients is the interval used for the integration. Full range coefficients are calculated using the entire period of the function, while half range coefficients are calculated using only half of the period. This results in different coefficients and a simpler series for half range functions due to their symmetry.

Why are half range Fourier series coefficients useful?

Half range Fourier series coefficients are useful because they can simplify the representation of a function with symmetry about its midpoint, making it easier to analyze and manipulate. They are also used in engineering and physics applications, such as signal processing and heat transfer, to approximate and model periodic phenomena.

Similar threads

  • Calculus and Beyond Homework Help
Replies
3
Views
286
  • Calculus and Beyond Homework Help
Replies
2
Views
1K
  • Calculus and Beyond Homework Help
Replies
1
Views
216
  • Calculus and Beyond Homework Help
Replies
3
Views
365
  • Calculus and Beyond Homework Help
Replies
6
Views
390
  • Calculus and Beyond Homework Help
Replies
16
Views
564
  • Calculus and Beyond Homework Help
Replies
3
Views
416
  • Calculus and Beyond Homework Help
Replies
1
Views
535
  • Calculus and Beyond Homework Help
Replies
2
Views
372
  • Calculus and Beyond Homework Help
Replies
1
Views
344
Back
Top