Proof of the convolution theorem for laplace transform

In summary, the textbook provides a proof that assumes L{f(t)}=the laplace integral with the f(t) changed to f(a). Likewise, L{g(t)} is also changed to g(b). However, the author does not explain how one can change the variable for f and g when they started off stating f of T and g of T.
  • #1
O.J.
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My textbook provides a proof but there's one thing about the proof i do not understand

it starts assuming L{f(t)} = the laplace integral with the f(t) changed to f(a)

same goes with L{g(t)} as it changes it to g(b)

i understand the big picture>>starting from a product of 2 L transforms and working ur way back to an expression in terms of the two functions transformed, but how can u change the variable for f and g when we started off stating f of T and g of T.?
 
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  • #2
Am I not presenting my questions clearly?
 
  • #3
Let

[tex]F(s)=\mathcal{L}\{f(t)\}=\int_0^{+\infty}e^{-s\,t}\,d\,t\,f(t) \quad \text{and} \quad
G(s)=\mathcal{L}\{g(t)\}=\int_0^{+\infty}e^{-s\,t}\,g(t)\,d\,t [/tex]

be the two Laplace transormations and let's denote

[tex](f\star g)(t)=\int_0^{+\infty}f(\tau)\,g(t-\tau)\,d\,\tau [/tex]

the convolution of [tex]f,\,g[/tex].

Thus the Laplace transform for the convolution would be

[tex]\mathcal{L}\{(f\star g)(t)\}=\int_0^{+\infty}e^{-s\,t}\left( \int_0^{+\infty}f(\tau)\,g(t-\tau)\,d\,\tau \right)\,d\,t =\int_0^{+\infty}\int_0^{+\infty}e^{-s\,t}f(\tau)\,g(t-\tau)\,d\,\tau \,d\,t \quad (1)[/tex]

The above double integral is to be evaluated in the domain [tex] \mathcal{D}=\{(t,\tau): t \in (0,+\infty),\tau \in (0,+\infty)\} [/tex].

Performing the change of variables
[tex](t,\tau)\rightarrow (u,v): t=u+v, \, \tau=v [/tex] with [tex] u \in (0,+\infty),v \in (0,+\infty) [/tex] we have [tex]d\,\tau\,d\,t=d\,u\,d\,v[/tex] since the Jacobian equals to 1. Thus (1) becomes

[tex]\mathcal{L}\{(f\star g)(t)\}=\int_0^{+\infty}\int_0^{+\infty}e^{-s\,(u+v)}f(u)\,g(v)\,d\,u\,d\,v= \int_0^{+\infty}e^{-s\,u}f(u)\,d\,u \cdot \int_0^{+\infty}e^{-s\,v}\,g(v)\,d\,v[/tex]

yielding to

[tex]\mathcal{L}\{(f\star g)(t)\}=\mathcal{L}\{f(t)\} \cdot \mathcal{L}\{g(t)\} [/tex]

Nothing but double integrals! :smile:
 
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  • #4
Isn't the laplace convolution between 0 and t rather than 0 and infinity?
 
  • #5


Thank you for your question. The convolution theorem for Laplace transforms states that the Laplace transform of the convolution of two functions f(t) and g(t) is equal to the product of their individual Laplace transforms. This theorem is a powerful tool in solving differential equations and other mathematical problems.

In the proof provided in your textbook, the authors have used a change of variables for the functions f(t) and g(t) to f(a) and g(b), respectively. This is a common practice in mathematical proofs and allows for easier manipulation of the functions.

To understand why this change of variables is valid, let's look at the definition of the Laplace transform:

L{f(t)} = ∫f(t)e^(-st)dt

Here, the variable of integration is t, but this does not mean that the function f(t) can only be evaluated at t. In fact, we can substitute any variable we want for t, such as a or b, and the result will still be the same. This is because the Laplace transform is an integral over the entire domain of the function, not just a specific value of t.

Therefore, in the proof, the authors have chosen to use a and b as the variables for f(t) and g(t), respectively, to make the manipulation of the functions easier. This does not change the fundamental definition of the Laplace transform.

I hope this helps clarify the change of variables in the proof. If you have any further questions, please do not hesitate to ask. Keep exploring and questioning, as that is the essence of science.
 

1. What is the convolution theorem for Laplace transform?

The convolution theorem for Laplace transform states that the Laplace transform of the convolution of two functions is equal to the product of their individual Laplace transforms.

2. Why is the convolution theorem important in mathematics and science?

The convolution theorem is important because it allows us to simplify complex mathematical operations involving convolution by using the more straightforward operations of multiplication and addition. This is particularly useful in signal processing and differential equations.

3. How is the proof of the convolution theorem for Laplace transform derived?

The proof of the convolution theorem involves using the properties of Laplace transform, such as linearity and time-shifting, along with the definition of convolution. By applying these properties and manipulating the equations, the proof can be derived.

4. Can the convolution theorem be extended to higher dimensions?

Yes, the convolution theorem can be extended to higher dimensions, such as for functions of multiple variables. The proof for higher dimensions follows a similar approach as the one-dimensional case.

5. Are there any limitations to the convolution theorem for Laplace transform?

One limitation of the convolution theorem is that it only applies to functions that have well-defined Laplace transforms. Additionally, the convolution theorem may not be applicable for functions that are not absolutely integrable.

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