Derivatives of fourier transform

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SUMMARY

The discussion focuses on proving the identity \(\frac{\partial \hat{f}}{\partial x}(0,0) = \int \int x^2f(x,y)dxdy\), where \(\hat{f}\) is the Fourier Transform of \(f(x,y)\). The solution involves applying the Leibniz integral rule and iterating the process to derive the relationship between the second derivative of the Fourier transform and the second moment of the function \(f\). Specifically, it concludes that \(\frac{d^2}{d\omega^2}F\{f\} = -\int_{-\infty}^{\infty}x^{2}f(x)dx\) when evaluated at \(\omega=0\).

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mnb96
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Can anyone explain me how to prove the following identity?

[tex]\frac{\partial \hat{f}}{\partial x}(0,0) = \int \int x^2f(x,y)dxdy[/tex]

where [tex]\hat{f}[/tex] denotes the Fourier Transform of f(x,y) ?
 
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Well,
I figured it out by myself. It was actually not hard, but unfortunately I noticed that in my first post the statement of the problem was wrong. I will show the solution for one dimension: the 2-dimensional case is trivial.

[tex]\frac{d}{d\omega}F\{f\} = \int_{-\infty}^{\infty}\frac{\partial}{\partial \omega}f(x)e^{-i\omega x}dx = -i\int_{-\infty}^{\infty}xf(x)e^{-i\omega x}dx[/tex]

The first step was Leibniz integral rule; now, iterating this process n-times yields:

[tex]\frac{d^n}{d\omega^n}F\{f\} = (-i)^{n}F\{x^{n}f\}[/tex]

We have just to set [tex]n=2[/tex] and [tex]\omega=0[/tex] in order to obtain:

[tex]\frac{d^2}{d\omega^2}F\{f\} = -\int_{-\infty}^{\infty}x^{2}f(x)dx[/tex]

That was it: the second derivative (with opposite sign) of the Fourier transform of f at 0, is equivalent to the second moment of f.
 
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