Proving the Convolution Formula: Integral Equations

In summary, the conversation discusses the use of the integral \int_{0}^{1} \int_{0}^{1} (xy) dx dy to prove the convolution formula. The conversation also touches on the concept of separating multiple integrals and the applicability of Fubini's theorem in this scenario.
  • #1
icystrike
445
1

Homework Statement



[tex] \int_{0}^{1} \int_{0}^{1} (xy) dx dy = [\int_{0}^{1} (x) dx] [\int_{0}^{1} (y) dy] [/tex]

Its use to prove the convolution formula..


Homework Equations





The Attempt at a Solution

 
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  • #2
It's just standard separating multiple integrals, you could write the same thing with xy replaced by f(x)f(y).
 
  • #3
Tangent87 said:
It's just standard separating multiple integrals, you could write the same thing with xy replaced by f(x)f(y).

But why is that so? Is it because the region of integration is rectangular?
Referring to Fubini Theorem
 
  • #4
icystrike said:
But why is that so? Is it because the region of integration is rectangular?
Referring to Fubini Theorem

No the region of integration does not have to be rectangular, it will work whenever the integral converges/exists, as you say Fubini's theorem: http://en.wikipedia.org/wiki/Fubini's_theorem
 

Related to Proving the Convolution Formula: Integral Equations

1. What is the convolution formula for integral equations?

The convolution formula for integral equations is a mathematical method for solving equations that involve integrals. It is used to find the solution to a differential equation by convolving the differential equation with a known function.

2. How is the convolution formula derived?

The convolution formula is derived using the Laplace transform method. This involves transforming the integral equation into the Laplace domain, applying the convolution property, and then transforming back to the time domain to obtain the solution.

3. What is the significance of the convolution formula in scientific research?

The convolution formula is widely used in various fields of science and engineering, including signal processing, image processing, and physics. It allows for the efficient and accurate solution of differential equations, which are common in these fields.

4. Can the convolution formula be applied to any type of integral equation?

Yes, the convolution formula can be applied to any integral equation that can be transformed into the Laplace domain. However, it is most commonly used for solving linear differential equations.

5. Are there any limitations to using the convolution formula for solving integral equations?

One limitation of the convolution formula is that it can be time-consuming and complex to apply, especially for more complicated integral equations. Additionally, it may not always be possible to find an exact solution using this method, and numerical methods may be necessary.

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