Fourier Series in Complex Form

In summary, the conversation discusses verifying the process for completing the Fourier series in complex form for a given function. The process involves calculating Cn using the given formula and then simplifying it using trigonometric identities. The final answer is provided with a correction for a minor mistake.
  • #1
JamesEllison
13
0
Hi,
Just wanted to verify my process to complete the Fourier series in complex form.
With the Function
f(t) = 8, 0≤t≤2
-8, 2≤t≤4

f(t) = [itex]\sum[/itex] Cn e-int
n=1 to ∞

Where

Cn = [itex]\frac{1}{T}[/itex] ∫ f(t) e-int[itex]\frac{2∏}{T}[/itex]

Cn = [itex]\frac{1}{T}[/itex] 0∫T f(t) e-int2∏/T dt

Cn = [itex]\frac{1}{4}[/itex] 0∫4 f(t) e-int2∏/T dt ]

Cn = [itex]\frac{1}{4}[/itex] 0∫2 8e-int2∏/T dt + 2∫4 -8 e-int2∏/T dt + -∞∫0 0 e-in2∏/t dt + 4∫∞ 0 e-in2∏/t dt

Cn = [itex]\frac{8}{4}[/itex]0∫2 e-int∏/2 dt + 2∫4 e-int∏/2 dt

Cn = 2 ( [itex]\frac{2e[itex]\frac{-int∏}{2}[/itex]}{-in∏}[/itex] 0 ->2 + [itex]\frac{2e-int∏/2}{-in∏}[/itex] ) 2 -> 4

Cn = 2 ( [itex]\frac{2e-in∏}{-in∏}[/itex] + [itex]\frac{2e0}{in∏}[/itex] ] + [ [itex]\frac{2e-in2∏}{in∏}[/itex] - [itex]\frac{2e-in∏/}{in∏}[/itex] ] }


Cn = ( [itex]\frac{4}{in∏}[/itex] ) { e-in∏ + 1 + e-in2∏ - e-in∏ }

Cn = [itex]\frac{4}{in∏}[/itex] ( 2(e-in∏ + e-in2∏ + 1 ))

Use e-iθ = Cosθ - iSinθ and let θ = n∏ and θ = n2∏

Cn = [itex]\frac{4}{in∏}[/itex] ( 2 (Cosθ - iSinθ) + (Cosθ - iSinθ) + 1 )

Cn = [itex]\frac{4}{in∏}[/itex] ( 2Cos(n∏) - 2iSin(n∏) + Cos (2∏n) - iSin(2∏n) )

Cn = [itex]\frac{4}{in∏}[/itex] ( 2 Cos (n∏) + 1)



Something along those lines??

PS sorry about my terrible notation within the question, i tried using as many symbols with the code as I could. Mainly for Tiny Tim :D
 
Last edited:
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  • #2
Yes, your process looks correct. However, you made a minor mistake in the last step. The answer should be Cn = \frac{4}{in∏} ( 2 Cos (n∏) + 1 - Cos(2nπ) ).
 

1. What is a Fourier series in complex form?

A Fourier series in complex form is a mathematical representation of a periodic function as a sum of complex exponentials. It can be thought of as a generalization of the real Fourier series, where the coefficients and frequencies are complex numbers rather than real numbers.

2. What is the difference between a Fourier series in complex form and a real Fourier series?

The main difference between the two is that a Fourier series in complex form allows for complex coefficients and frequencies, whereas a real Fourier series only allows for real coefficients and frequencies. This makes the complex form more flexible and able to represent a wider range of functions.

3. What is the relationship between the complex Fourier coefficients and the real Fourier coefficients?

The complex Fourier coefficients can be represented as a sum of the real and imaginary parts of the corresponding real Fourier coefficients. This means that the real Fourier coefficients can be obtained from the complex ones and vice versa.

4. How is the complex form of a Fourier series used in practical applications?

The complex form of a Fourier series is used in various fields such as signal processing, image processing, and data analysis. It allows for easier manipulation and analysis of periodic signals and can also be used to approximate non-periodic signals.

5. Can a complex Fourier series be used to represent any function?

Yes, a complex Fourier series can be used to represent any periodic function, as long as the function satisfies certain conditions such as being piecewise continuous and having a finite number of discontinuities. However, for non-periodic functions, a complex Fourier series can only provide an approximation.

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