An Integral Equation with the Convolution Theorem for Fourier Transforms

In summary, the problem is to find the integral equation \int\stackrel{\infty}{-\infty}exp(-abs(x-y))u(y)dy+u=f(x) for -\infty<x<\infty. The solutions say that to solve for u(x), use the convolution theorem to find u(x)=f(x)-\frac{4}{3}\intf(t)exp(-3abs(x-t))dt.
  • #1
mathmajor314
9
0
The problem: Solve the integral equation [tex]\int[/tex][tex]\stackrel{\infty}{-\infty}[/tex]exp(-abs(x-y))u(y)dy+u=f(x) for -[tex]\infty<x<\infty[/tex].

The solutions say "Use the convolution theorem to find u(x)=f(x)-[tex]\frac{4}{3}[/tex][tex]\int[/tex]f(t)exp(-3abs(x-t))dt."

The Convolution Theorem in my book states "If the functions f(x), g(x) have Fourier transforms F(u), G(u), respectively, then the Fourier transform of [tex]\int[/tex]g([tex]\xi[/tex])f(x-[tex]\xi\[/tex])d[tex]\xi[/tex] is F(u)G(u)."

Now, I know that the Fourier transform of exp(-abs(x)) is 2/(1+u^2) but I'm not sure what to do next and I have no idea where the 4/3 comes from.

Thank you in advance for any help!
 
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  • #2
You seem to be using the letter u in two different ways. Just to clarify, is the original equation

[tex]\int_{-\infty}^\infty e^{-\lvert x-y \rvert}u(y)\,dy + u(x) = f(x)[/tex]

and the Fourier transform of g(x)=e-|x|

[tex]G(k) = \int_{-\infty}^\infty e^{-\lvert x \rvert}e^{-ikx}\,dx = \frac{2}{1+k^2}[/tex]

?

Try taking the Fourier transform of the first equation and solve for U(k).
 
  • #3
I'm sorry, the original equation should have a 4 in front of the integral sign. Also, in my book, the problem only has u instead of u(x) on the left hand side. And yes, that is the correct Fourier transform of g(x).

Taking the Fourier transform of the left hand side, I know that the Fourier transform of a sum is the sum of the Fourier transforms and I know that the convolution theorem shows that the Fourier transform of the integral is

[tex]\frac{2}{1+k^2}[/tex][tex]\int u(k)e^{-ikx}\\\\,dx[/tex]

but then I'm not sure what to do with the extra u (or maybe it's supposed to be u(x) ) on the left hand side.

After this, I don't know where the 4/3 comes from or how to get a 3 in front of the absolute value of x-t.

Thanks for your help!
 
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  • #4
OK, so if we denote the Fourier transform of u(x) and f(x) as U(k) and F(k) respectively, the equation becomes

[tex]4\left(\frac{2}{1+k^2}\right)U(k) + U(k) = F(k)[/tex]

Now solve for U(k).

I'm sure the second u means u(x). I was confused by the Fourier transform of e-|x| you wrote in the original post. You used u as the variable there, which doesn't make sense.
 
  • #5
Clearly, U(k) = [tex]\frac{F(k)}{1+4(\frac{2}{1+k^2})}[/tex].

Next, I think I am supposed to apply the inverse Fourier transform version of the Convolution Theorem, which states "If the functions f(x), g(x) have Fourier transforms F(k), G(k), respectively, then the inverse Fourier transform of [tex]\frac{1}{2\pi}[/tex][tex]\int F(s)G(k-s)ds[/tex] is f(x)g(x)." I'm not sure how to do this since I can't seem to figure out what the inverse Fourier transform of [tex]\frac{1}{1+4(\frac{2}{1+k^2})}[/tex] is. And I still don't know where the 3's in the solution come from... =(
 
  • #6
mathmajor314 said:
Clearly, U(k) = [tex]\frac{F(k)}{1+4(\frac{2}{1+k^2})}[/tex].

Next, I think I am supposed to apply the inverse Fourier transform version of the Convolution Theorem, which states "If the functions f(x), g(x) have Fourier transforms F(k), G(k), respectively, then the inverse Fourier transform of [tex]\frac{1}{2\pi}[/tex][tex]\int F(s)G(k-s)ds[/tex] is f(x)g(x)." I'm not sure how to do this since I can't seem to figure out what the inverse Fourier transform of [tex]\frac{1}{1+4(\frac{2}{1+k^2})}[/tex] is. And I still don't know where the 3's in the solution come from... =(

Try rearranging it. I believe you can prove that [tex]\frac{1}{1+4\left(\frac{2}{1+k^2}\right)} = \frac{k^2+1}{k^2+9}[/tex]. Might make it easier.
 
  • #7
I rearranged it and found that too but I can't figure out what to do with [tex] \int \frac{F(k) (k^2+9)}{k^2+1} dk [/tex].
 
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  • #8
First, find and fix your algebra mistake. :smile:

The solution is u(x) = f(x) + stuff, right? So you need an F(k) by itself that'll inverse transform to f(x). Can you see how you might manipulate what you have to get that?
 
  • #9
Oops, it should be [tex]\frac{F(k)(1+k^2)}{9+k^2}[/tex].

I know that the inverse transform of [tex]\frac{1}{9+k^2}[/tex] is [tex]\frac{exp(-3|k|}{6}[/tex] so I guess that's where that 3 comes from. I'm still stuck on getting F(k) by itself though.
 
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  • #10
Try using k2+1 = (k2+9)-8.
 
  • #11
Ugh! Why didn't I think of that!? Now I've got it. Thank you for all of your help; I appreciate it!
 

1. What is an integral equation?

An integral equation is an equation that involves an unknown function and an integral of that function. It can be used to describe various physical phenomena, such as heat transfer and fluid flow.

2. What is the Convolution Theorem for Fourier Transforms?

The Convolution Theorem for Fourier Transforms states that the Fourier transform of the convolution of two functions is equal to the product of the Fourier transforms of those two functions.

3. How is the Convolution Theorem related to the Integral Equation?

The Convolution Theorem can be used to solve integral equations involving convolution. It allows us to transform the integral equation into a simpler form that can be solved using the Fourier transform.

4. What is the significance of Fourier Transforms in solving Integral Equations?

The Fourier transform is a mathematical tool that allows us to convert a function from the time or spatial domain to the frequency domain. This makes it useful in solving integral equations, as it simplifies the equations and allows for easier manipulation and solution.

5. Are there any practical applications of "An Integral Equation with the Convolution Theorem for Fourier Transforms"?

Yes, there are many practical applications of this integral equation, such as in signal processing, image processing, and solving differential equations. It is also commonly used in engineering and physics for solving various equations involving convolution.

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