Mathematically solving fourier transform

AI Thread Summary
The discussion focuses on solving the Fourier Transform of the signal f(t) = e^-at from 0 to T, using a signals and systems textbook. The user outlines the steps for integration but struggles to understand how the denominator jw + a is derived in the final answer. It is emphasized that the integral of e^(-t(x+jy)) requires u-substitution, which is crucial for reaching the correct result. The user is encouraged to revisit the integration process to clarify the transition from the final step to the book's answer. Understanding u-substitution is key to mastering Fourier Transform applications.
Robismyname
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Since I lack the understand of real world applications of Fourier Transform in the real world I decided to buy a signals and systems book (Lathi) do some Fourier Transform problems and them do the same problem in Matlab.

The question in the book wants me to find the Fourier Transform of signal f(t) = e^-at; from 0 to T

I know in order to find FT I have to do the following:
T
step 1: F(w) = ∫ f(t) * e^-jwt dt
0

T
step 2: ∫ e^-(a+jw)t dt [combine like terms]
0


step 3: [ e^-(a+jw)0 ] - [ e^-(a+jw)T ] [integrate over 0 to T]


step 4: 1 - e^-(a+jw)T [solve]



The book says the answer is:

1-e^-(jw+a)T
----------------------------
jw+a

How did the book get the denominator section of jw+a? I can't get from step 4 to the book answer. What am I missing here?
 
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