The integral of the convolution between functions f

In summary, the conversation was about struggling to prove the integral of convolution between two functions, with one person asking for a hint and another person providing assistance by explaining the use of Fubini's theorem and variable translation. The final outcome was a clear understanding of the solution.
  • #1
muzialis
166
1
Hello there,

I am really struggling to prove that
"The integral of the convolution between functions f and gequals the product of their integrals", http://en.wikipedia.org/wiki/Convolution#Integration
Can anybody give me a hint?

Many thanks
 
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  • #2


What did you try?? Where are you stuck?
 
  • #3


∫{∫f(y)g(x-y)dy}dx = ∫f(y){∫g(y-x)dx}dy (Fubini)
= ∫f(y){∫g(u)du)}dy = ∫f(y)dy∫g(u)du
 
  • #4


Thanks very muhc for your help.
I was following the line given by Mathman, but did not realize that the variable translation would not affcet the value of the integral as the integration domain is the whole real line, many thanks
 
  • #5
for your question. The integral of the convolution between two functions f and g can be proven using the definition of convolution and the properties of integrals. Here are some steps you can follow to prove this statement:

1. Start with the definition of convolution: (f * g)(x) = ∫f(x-y)g(y)dy.

2. Substitute the definition into the integral: ∫(f * g)(x)dx = ∫∫f(x-y)g(y)dydx.

3. Use the properties of integrals to rearrange the order of integration: ∫∫f(x-y)g(y)dydx = ∫∫f(x-y)g(y)dxdy.

4. Use a change of variables to simplify the integral: Let u = x-y, then du = dx. This gives us: ∫∫f(u)g(y)dudx.

5. Use the properties of integrals again to simplify the integral: ∫∫f(u)g(y)dudx = ∫f(u)du ∫g(y)dy.

6. Substitute back the original variables: ∫f(u)du ∫g(y)dy = ∫f(x-y)dx ∫g(y)dy.

7. Use the properties of integrals once more to simplify the integrals: ∫f(x-y)dx ∫g(y)dy = ∫f(x)dx ∫g(y)dy.

8. Finally, we have: ∫(f * g)(x)dx = ∫f(x)dx ∫g(y)dy, which proves the statement that the integral of the convolution between functions f and g equals the product of their integrals.

I hope this helps! If you have any further questions or need clarification, please don't hesitate to ask. Good luck with your proof!
 

What is the integral of the convolution between functions f?

The integral of the convolution between functions f is a mathematical operation that combines two functions, f and g, to create a new function h. It represents the amount of overlap between the two functions as one is shifted over the other.

Why is the integral of the convolution between functions f important?

The integral of the convolution between functions f is important because it allows us to model real-world phenomena, such as signals and waveforms, in a more accurate and efficient way. It also has many applications in fields such as engineering, physics, and economics.

How is the integral of the convolution between functions f calculated?

The integral of the convolution between functions f is calculated by first finding the convolution of the two functions, and then integrating this convolution over the domain of the functions. This can be done using various methods such as graphical integration, numerical integration, or analytical integration.

What is the relationship between the integral of the convolution and the Fourier transform?

The integral of the convolution between functions f is closely related to the Fourier transform. In fact, the convolution theorem states that the Fourier transform of the convolution of two functions is equal to the product of their individual Fourier transforms. This relationship is often used to simplify complex integrals involving convolutions.

Can the integral of the convolution between functions f be used to solve differential equations?

Yes, the integral of the convolution between functions f can be used to solve certain types of differential equations. This is because the convolution operation has the property of being commutative and associative, making it a useful tool in solving linear differential equations. It is also used in solving integral equations and solving boundary value problems.

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