Computation of Fourier Transform

AI Thread Summary
To compute the Fourier Transform X(jw) of the function x(t) = t*exp(a)*exp(-a*t)*u(t-1) - exp(a)*exp(-a*t)*u(t-1), the user plans to apply properties of the Fourier Transform to each part separately. They recognize that the presence of u(t-1) complicates the process, as standard properties are typically applied to u(t). By substituting t with Tao (Tao = t - 1), they reformulate the first part of x(t) and identify the transforms for both components, resulting in expressions involving 1/(a+jw) and 1/(a+jw)^2. The user seeks confirmation on the correctness of their approach before proceeding with the second part of the function.
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Homework Statement


x(t) = t*exp(a)*exp(-a*t)*u(t-1) - exp(a)*exp(-a*t)*u(t-1)

I need to find X(jw)...


Homework Equations


how to apply properties of Fourier transform to get an answer? Because i know that the only effective method for this..


The Attempt at a Solution



For example from properties i know that exp(-a*t)u(t) is 1/(a+jw) and t*exp(-a*t)*u(t) is 1/(a+jw)^2..

now... i can think of my X(jw) consisting of 2 parts.. and i need to apply properties to each of those parts... however... properties are given in case if i have u(t) in expression... but in my problem i have u(t-1).. which kind of spoils things...

How should i deal with that properly?
 
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ok i'v been thinking more of this problem, now here is what i decided to do:

lets say I am concentrating my attention on the 1st part of x(t) which is: t*exp(a)*exp(-a*t)*u(t-1), and i will compute X1(jw) for it first.

i am changing t-1 to Tao, => Tao = t - 1, t=Tao+1, then i have the following:

(Tao+1) *exp(a) * exp(-a*(Tao+1)) * u(Tao) = Tao*exp(a)*exp(-a*Tao)*exp(-a)*u(Tao) + exp(a)*exp(-a*Tao)*exp(-a)*u(Tao).

Now, recognizing mentioned properties above, i see that the last expression has transform:

1/(a+jw) + 1/(a+jw)^2 ... and this will be the transform for my X1(jw)..

Was the thinking correct? if yes then simililar stuff applied to second part of x(t) and problem solved..

thanks..
 
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