Simplifying Fourier Series for Rectified Sinusoidal Signals

AI Thread Summary
The discussion focuses on simplifying Fourier series for rectified sinusoidal signals, specifically addressing two problems involving the calculation of coefficients Dn. The first problem yields Dn as 2/(π(1-4n^2)), while the second problem results in Dn as 1/(2πn). The user attempts to verify the first problem's solution using Wolfram, leading to confusion over the simplification process. They seek clarification on how the integration and application of Euler's identity lead to the final answer. The thread highlights the challenges faced by beginners in understanding Fourier series calculations.
rishmeister
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Homework Statement


Two similar problems, but once I find out how to do the first one, I can figure out how to do the second. My signals book tells me the answers to the following "Dn"s are:

First problem: Dn = (1/∏) ∫ sin(t) * e^(-j2nt) dt = 2/(∏ (1-4n^2) )

if x(t) = rectified sin(t) wave, period T = ∏.

Second problem: Dn = ∫(t/2∏) * e^(-jn*ωnaught*t) = 1/(2∏n).

Homework Equations



Formula for Dn = (1/period) ∫x(t)*e^(-(j*n*ωnaught*t))

The Attempt at a Solution



See, when I pop the first one into Wolfram, I get
e^(-2*j*n*t) * (cos(t) + 2*j*n*sin(t))
/
∏(4n^2 - 1).

Since we integrate over 0 to ∏ in the first one, I understand Euler' identity is used to get the e^(-2*j*n*t) term to 1, and the cos(∏) goes away, so I'm left with 2jn / ∏(4n^2 - 1). How did they simplify that to get what I put up top as the answer?

First post so I'm a noob.
Thanks
 
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whoops, double post... sorry... can't figure out how to delete the post...
 
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