Transfer function=Laplace of the impulse response?

AI Thread Summary
The discussion centers on proving that the transfer function H(s) is the Laplace transform of the impulse response for continuous-time systems. It begins with the relationship Y(s)/X(s) = H(s), where Y(s) is the Laplace of the output and X(s) is the Laplace of the input. The Dirac delta function is used to represent the impulse input, leading to the conclusion that the Laplace transform of the impulse response directly gives the transfer function. Additionally, the convolution theorem is referenced, reinforcing the connection between the Laplace transforms of the input and impulse response. The conversation highlights the need for clarity in understanding these fundamental concepts in system analysis.
xorg
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I saw in some books, that:
Y(s)/X(s) = H(s)
where,
Y(s) is the laplace of the output
X(s) is the laplace of the input
H(s) is the laplace of impulse response.

How to prove it? In the book Benjamin Kuo, he only mentions it without proof, and did not find it in the book of Oppennheim.
 
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For continuous-time systems, you can represent the impulse input using the Dirac delta function:
$$
x(t) = \delta(t)
$$
Since:
$$
X(s) = \mathcal{L}\{x(t)\}(s) = \mathcal{L}\{\delta(t)\}(s) = 1
$$
It follows that the Laplace transform of its impulse response ##Y(s)## gives its transfer function:
$$
Y(s) = H(s)X(s) = H(s)
$$
 
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milesyoung said:
For continuous-time systems, you can represent the impulse input using the Dirac delta function:
$$
x(t) = \delta(t)
$$
Since:
$$
X(s) = \mathcal{L}\{x(t)\}(s) = \mathcal{L}\{\delta(t)\}(s) = 1
$$
It follows that the Laplace transform of its impulse response ##Y(s)## gives its transfer function:
$$
Y(s) = H(s)X(s) = H(s)
$$

Thanks, helped me.
 
Another way:
$$ y(t) = x(t) \ast h(t) $$
$$ \mathcal{L}\{y(t)\} = \mathcal{L}\{x(t) \ast h(t)\} $$
$$ \mathcal{L}\{y(t)\} = \mathcal{L}\{x(t)\}\mathcal{L}\{h(t)\} $$
$$ Y(s) = H(s)X(s) $$
 
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xorg said:
Another way:
$$ y(t) = x(t) \ast h(t) $$
$$ \mathcal{L}\{y(t)\} = \mathcal{L}\{x(t) \ast h(t)\} $$
$$ \mathcal{L}\{y(t)\} = \mathcal{L}\{x(t)\}\mathcal{L}\{h(t)\} $$
$$ Y(s) = H(s)X(s) $$
Not sure I understand. Are you looking for a proof of the convolution theorem?
 
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First I tried to find a way to understand why H (s) is the Laplace of impulse response.
The first thing I thought was that I should start by the convolution of x and h.
Then you answered me in a way, and a few hours later I saw this on a website:
$$ \mathcal {L} \{x (t) \ast h (t) \} = \mathcal {L} \{x (t) \} \mathcal {L} \{h (t) \} $$
 
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