Transfer function=Laplace of the impulse response?

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Discussion Overview

The discussion revolves around the relationship between the transfer function and the Laplace transform of the impulse response in continuous-time systems. Participants explore various mathematical representations and theorems related to this concept, seeking proofs and clarifications.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • Some participants state that the transfer function can be expressed as the ratio of the Laplace transforms of the output and input, specifically Y(s)/X(s) = H(s).
  • One participant explains that using the Dirac delta function as an impulse input leads to the conclusion that the Laplace transform of the impulse response is equal to the transfer function, H(s).
  • Another participant reiterates the use of the Dirac delta function to derive that Y(s) = H(s) when X(s) is 1.
  • Several participants present the convolution theorem, stating that the Laplace transform of the convolution of two functions equals the product of their Laplace transforms, leading to Y(s) = H(s)X(s).
  • One participant expresses uncertainty about whether they are seeking a proof of the convolution theorem.
  • A participant mentions their initial thought process regarding understanding why H(s) represents the Laplace of the impulse response, referencing the convolution of x and h.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the proof of the relationship between the transfer function and the Laplace transform of the impulse response. Multiple approaches and interpretations are presented, indicating ongoing exploration and uncertainty.

Contextual Notes

The discussion includes various mathematical representations and assumptions regarding the Laplace transform and convolution, but does not resolve the underlying complexities or provide definitive proofs.

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:
$$ y(t) = x(t) \ast h(t) $$
$$ \mathcal{L}\{y(t)\} = \mathcal{L}\{x(t) \ast h(t)\} $$
$$ \mathcal{L}\{y(t)\} = \mathcal{L}\{x(t)\}\mathcal{L}\{h(t)\} $$
$$ Y(s) = H(s)X(s) $$
 
Last edited:
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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