Show that the Poisson-kernel $$ P(x,\xi):=\frac{1-\lVert x\rVert^2}{\lVert x-\xi\rVert^n}\text{ for }x\in B_1(0)\subset\mathbb{R}^n, \xi\in S_1(0) $$ is harmonic as a function in $x$ on $B_1(0)\setminus\left\{0\right\}$.
On my recent worksheet, this task is rated with very much points. So I guess it is either very difficult or requires much calculation.
Am I right that I do have to show (most likely by a rather long calculation) that for any $1\leq i\leq n$
$$ \frac{\partial^2}{\partial x_i^2}P(x,\xi)=\frac{\partial^2}{\partial x_i^2}\left(\frac{1-\sum_{i=1}^{n}x_i^2}{(\sum_{i=1}^{n}(x_i-\xi_i)^2)^{\frac{n}{2}}}\right)=0? $$
I ask, because I do not want to start this exhausting calculation if there is maybe another way or without having the affirmation that this is constructive.
For example a continuous function that fulfills the mean value property is harmonic. Maybe this is an alternative way here?
My result for the first derivative
Consider any $1\leq i\leq n$. Then my result for $P_{x_i}$ is $$ P_{x_i}=\frac{-2x_i\lVert x-\xi\rVert^n-(1-\lVert x\rVert^2)\frac{n}{2}\lVert x-\xi\rVert^{n-2}(2x_i-2\xi_i)}{\lVert x-\xi\rVert^{2n}}. $$ Here I used the quotient rule. Moreover, I used the chain rule to calculate $$ \frac{\partial}{\partial x_i}(\lVert x-\xi\rVert^n)=\frac{1}{2}n\lVert x-\xi\rVert^{n-2}(2x_i-2\xi_i). $$
Maybe you can say me if my calculation is correct to this point.
My final result
As the second derivative I get $$ P_{x_i x_i}=-2\lVert x-\xi\rVert^{-n}+4x_in\lVert x-\xi\rVert^{-n-2}(x_i-\xi_i)-n\lVert x-\xi\rVert^{-n-2}(1-\lVert x\rVert^2)-n(x_i-\xi_i)^2(-n-2)\lVert x-\xi\rVert^{-n-4}(1-\lVert x\rVert^2) $$
My question is if then
$$ \Delta P=\sum_{i=1}^{n}P_{x_i x_i}=0? $$ Maybe you can say me if this is correct. Unfortunately I do not see how I can show with that result, that $\Delta P=0$. Maybe I am blind, maybe my result is wrong. I did it again and again and I always get this second derivative. Therefore I hope that you can help me finding the mistake or my error in reasoning.
I am aware of the fact that I probably won't get any help, because it is too much calculation, but maybe someone has pity with me and my effort.