Heisenberg uncertainty principle in R^n

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Homework Statement


[tex]\phi(x)[/tex] is in Schwartz space, and [tex]{\int|\phi(x)|^2dx=1[/tex].
I need to show that [tex](\int_{R^n}|x|^2|\phi(x)|^2dx)(\int_{R^n}|\xi|^2|\phi(\xi)|^2d\xi)\geq \dfrac{n^2}{16\pi^2}[/tex]

Homework Equations


Heisenberg uncertainty in one dimension:
[tex](\int_{-\infty}^{\infty}|x|^2|\phi(x)|^2dx)(\int__{-\infty}^{\infty}|\xi|^2|\phi(\xi)|^2d\xi)\geq \dfrac{1}{16\pi^2}[/tex]

Plancherel's theorem, probably: For any function in S(R), [tex]||f||=||\hat{f}||=(\int|f(x)|^2)^{-1/2}[/tex]

Cauchy Schwartz inequality

Anything else?

The Attempt at a Solution



If I expand the integral, I get
[tex](\int_{-\infty}^{\infty}...\int_{-\infty}^{\infty}(x_1+x_2+...+x_n)|\phi(x_1,x_2...)|^2dx_1 dx_2...d_x_n)[/tex]

I guess I need to show that this is at least [tex]n/4\pi[/tex]

If I expand the polynomial and decompose, I get

[tex](\int_{-\infty}^{\infty}...\int_{-\infty}^{\infty}(x_1)|\phi(x_1,x_2...)|^2dx_1 dx_2...d_x_n)+(\int_{-\infty}^{\infty}...\int_{-\infty}^{\infty}(x_2)|\phi(x_1,x_2...)|^2dx_1 dx_2...d_x_n)+...+(\int_{-\infty}^{\infty}...\int_{-\infty}^{\infty}(x_n)|\phi(x_1,x_2...)|^2dx_1 dx_2...d_x_n)[/tex]

But each of the integrals evaluated individually is greater than [tex]1/16\pi \int_{-\infty}^{\infty}1dx_1... dx_{i-1} dx_{x+1}...d_x_n)[/tex] which blows up into [tex]1/16\pi \Pi_{i\neq j}x_i.[/tex]I have a feeling that's not what's supposed to happen.
 
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