Fourier Series of cos4t + sin8t

In summary, the conversation discusses calculating the Fourier Series of x(t) = cos4t + sin8t and determining the value of ω0 in this case. The equation for a Fourier series is given and it is mentioned that the coefficients for this particular example are A_8=1 and B_4=1. It is also mentioned that while typically the series is presented without a frequency term, it is acceptable to include one, with the choice of ω0 affecting the periodicity of the function. For this example, ω0=1 is the most suitable choice.
  • #1
helderdias
3
0
Hi everyone,

So I was trying to calcule the Fourier Series of x(t) = cos4t + sin8t, but I'm a little bit confused. What would be ω0 in this case since I have a combination of two functions with different frequencies?

Thank you in advance.
 
Physics news on Phys.org
  • #2
I don't know what you mean by [itex]\omega_0[/itex] here. A Fourier series is a sum
[tex]\sum_{n=0}^\infty A_n sin(nt)+ B_n cos(nt)[/tex]
Here, obviously [itex]A_8= 1[/itex], [itex]B_4= 1[/itex] and all other coefficients are 0.
 
  • #3
I thought the series was the sum of An*cos(nw0t) + Bn*sen(nw0t)
 
  • #4
Typically Fourier series are presented as HallsofIvy posted. However, there's no reason not to include a frequency term [itex]\omega_0[/itex]. This can simplify some expressions, and you are free to choose any [itex]\omega_0[/itex] you like. It's important to remember that any choice of [itex]\omega_0[/itex] changes the periodicity to [itex]\frac{2\pi}{\omega_0}[/itex].

For your example, it's clearly best to choose [itex]\omega_0=1[/itex]
 
  • #5


Hello there,

I can provide some insight into your question. In this case, ω0 would be the fundamental frequency, which is the lowest common multiple of the individual frequencies (4 and 8 in this case). This means that ω0 = 4*8 = 32.

To calculate the Fourier Series for this function, you can use the formula:

x(t) = a0 + ∑(an*cos(nω0t) + bn*sin(nω0t))

Where a0 is the DC component, an and bn are the coefficients for the cosine and sine terms respectively, and n is the harmonic number (1, 2, 3...).

In this case, the coefficients can be calculated as follows:

a0 = (1/π) * ∫[0,2π] x(t) dt = 0 (since x(t) is an odd function)

an = (1/π) * ∫[0,2π] x(t)*cos(nω0t) dt = 0 (since x(t) is an odd function)

bn = (1/π) * ∫[0,2π] x(t)*sin(nω0t) dt = (1/π) * ∫[0,2π] (cos4t + sin8t)*sin(nω0t) dt

= (1/π) * ∫[0,2π] (cos4t*sin(nω0t) + sin8t*sin(nω0t)) dt

Using trigonometric identities, we can simplify this to:

bn = (1/2π) * ∫[0,2π] (cos(4-n)ω0t - cos(4+n)ω0t + cos(8-n)ω0t - cos(8+n)ω0t) dt

Since nω0 = n*32 and the integral is over one period (2π), we can further simplify this to:

bn = (1/2) * (δ(n-4) - δ(n+4) + δ(n-8) - δ(n+8))

Where δ is the Dirac delta function.

Therefore, the Fourier Series for x(t) = cos4t + sin8t is:

x(t) = ∑(bn*sin(nω0t))

= (1/2) *
 

1. What is a Fourier series?

A Fourier series is a mathematical representation of a periodic function as a sum of sine and cosine functions with different amplitudes and frequencies. It is often used in physics and engineering to analyze and approximate periodic signals.

2. How do you calculate the Fourier series of cos4t + sin8t?

To calculate the Fourier series of cos4t + sin8t, you need to find the coefficients for the sine and cosine terms. This can be done by using the Fourier series formula, which involves integrating the function over one period. Once you have calculated the coefficients, you can use them to write out the Fourier series expression.

3. What is the period of the Fourier series of cos4t + sin8t?

The period of the Fourier series of cos4t + sin8t is the smallest value of t for which the function repeats itself. In this case, the period is 2π, as both cos4t and sin8t have a period of 2π. This means that the function cos4t + sin8t repeats itself every 2π seconds.

4. Can the Fourier series of cos4t + sin8t be used to approximate any periodic function?

Yes, the Fourier series of cos4t + sin8t can be used to approximate any periodic function with a period of 2π. This is because the Fourier series is a general representation of a periodic function, and the coefficients can be adjusted to fit any function within that period.

5. What are some practical applications of Fourier series?

Fourier series have many practical applications, such as in signal processing, image and sound compression, and solving differential equations. They are also used in fields such as physics, engineering, and mathematics to analyze and model periodic phenomena.

Similar threads

  • Differential Equations
Replies
4
Views
2K
  • Calculus and Beyond Homework Help
Replies
3
Views
280
Replies
2
Views
1K
Replies
11
Views
4K
Replies
3
Views
2K
  • Calculus and Beyond Homework Help
Replies
3
Views
362
Replies
12
Views
2K
Replies
139
Views
4K
  • Calculus and Beyond Homework Help
Replies
6
Views
386
  • Calculus and Beyond Homework Help
Replies
2
Views
1K
Back
Top