Convolution theorem property about signals

AI Thread Summary
The discussion focuses on the application of the convolution theorem in relation to Laplace transforms and signal processing. The user attempts to solve a homework problem involving the Laplace transform of a delayed unit step function and its convolution with another signal. There is confusion regarding the correct answer, with the user believing the answer should be C, while the book states it is D. The user suggests that approaching the problem from the definition of convolution might clarify the discrepancy. The urgency of preparing for an upcoming exam is also noted, highlighting the pressure to resolve the question quickly.
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Homework Statement


upload_2018-2-6_17-38-17.png


Homework Equations


Laplace and then inverse laplace.

The Attempt at a Solution


Laplace of U(t-to) = 1/s e^(-tos)
x(t)-->X(s)
Laplace inverse
1/s means integration.
e^(-tos) means delay on x(t) by to.
I think answer should be C
Book answer is D.
How am I wrong?
 

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I'm struggling to understand it. Is book answer right? I got an exam on on 10th feb on 10 engineering subjects, thus am rushing through the questions and answers.
 
I replaced x(t) by t2 and got the answer as C.
First I laplace transformed x(t) as 2!/s3
Laplace of u(t-t0) = e-t0s
Multiplied laplace
Used inverse transform
to get:
(t-to)3 the whole divided by 3
And used trial and error method to see which option matches this.
C is right answer.
 

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