What's the Quickest Way to Integrate this Formidable Vector Integral?

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Suppose [itex]\vec{M}, \vec{P}[/itex] are arbitrary, constant vectors, and [itex]\hat{r}[/itex] is the (unit) position vector in spherical polar coordinates.

I need to integrate the vector function [itex]\frac{1}{r^6}[\hat{r} \times ((\vec{P}\cdot \hat{r})\vec{M} - ((\vec{M} \cdot \hat{r})\vec{P})][/itex] over the entire exterior of the sphere of radius R centered at the origin of coordinates. In other words, I need to compute:

[tex] \int_{\phi = 0}^{2\pi} \int_{\theta = 0}^{\pi} \int_{r = R}^{\infty} \frac{1}{r^4}[\hat{r} \times ((\vec{P}\cdot \hat{r})\vec{M} - ((\vec{M} \cdot \hat{r})\vec{P})] sin\theta dr d\theta d \phi[/tex]

I'm looking for a cute and clever way to do this, instead of the straightforward and tedious method. Any ideas or hints?
 
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The slickest way to do this is to write

[tex] [r \times ((\vec{P}\cdot r)\vec{M} - ((\vec{M} \cdot r)\vec{P})]_i = \sum_{jklmn} \epsilon_{ijk} r_j r_l P_m M_n ( \delta_{lm}\delta_{kn} - \delta_{ln}\delta_{km} )[/tex]

and write the [tex]r_i[/tex] in terms of spherical harmonics:

[tex]\frac{r_1}{r} = - \sqrt{\frac{2\pi}{3}} \left( Y_1^1 + Y_1^{-1} \right),[/tex]

[tex]\frac{r_2}{r} = i \sqrt{\frac{2\pi}{3}} \left( Y_1^1 - Y_1^{-1} \right),[/tex]

[tex]\frac{r_3}{r} = 2 \sqrt{\frac{\pi}{3}} Y_1^0 .[/tex]

The angular integration is done using the orthogonality relations and gives you a matrix [tex]Q_{jl}[/tex] that you then have to sum over. Whether it saves that much work over brute force is to be determined.