In this year's first exam, my teacher gave the following problem:
State and prove the spherical average theorem for harmonic functions in open sets of $\mathbb{R}^n$. Let $H$ be a harmonic function on $\mathbb{R}^3$. Show that the function $x\mapsto|x|^{-1}H(\frac{x}{|x|^2})$ is harmonic in $\mathbb{R}^3\smallsetminus\{0\}$.
I am a bit at a loss as to how to do the last part (the rest is easy). I tried calculating the laplacian and stopped midway because it seemed crazy. I will now try to end the calculations here, noting $\frac{1}{|x|}$ is harmonic in $\mathbb{R}^3\smallsetminus\{0\}$ and has gradient $-\frac{x}{|x|^3}$:
\begin{align*} \Delta\left(\frac{1}{|x|}H\left(\frac{x}{|x|^2}\right)\right)={}&\Delta\left(\frac{1}{|x|}\right)H\left(\frac{x}{|x|^2}\right)+2\nabla\left(\frac{1}{|x|}\right)\cdot\nabla\left(H\left(\frac{x}{|x|^2}\right)\right)+\frac{1}{|x|}\Delta\left(H\left(\frac{x}{|x|^2}\right)\right)={} \\ {}={}&-2\frac{x}{|x|^3}\cdot\left(\nabla H\left(\frac{x}{|x|^2}\right)\cdot\frac{1}{|x|^2}-2\nabla H\left(\frac{x}{|x|^2}\right)\cdot x\cdot\frac{x}{|x|^4}\right)+{} \\ &{}+\frac{1}{|x|}\Delta\left(H\left(\frac{x}{|x|^2}\right)\right)={} \\ {}={}&-\frac{2}{|x|^3}\partial_\nu H\left(\frac{x}{|x|^2}\right)+\frac{1}{|x|}\frac{2}{|x|^2}\partial_\nu H\left(\frac{x}{|x|^2}\right), \end{align*}
where $\partial_\nu$ at the end denotes the normal derivative on an appropriate ball. So those cancel out. Let me now show the justifications for the expressions at the end:
\begin{align*} \partial_j\left(H\left(\frac{x}{|x|^2}\right)\right)={}&\sum_k\partial_kH\left(\frac{x}{|x|^2}\right)\partial_j\frac{x_k}{|x|^2}=\sum_k\partial_kH\left(\frac{x}{|x|^2}\right)\left(\frac{\delta_{jk}}{|x|^2}-\frac{2x_kx_j}{|x|^4}\right)={} \\ {}={}&\nabla H\left(\frac{x}{|x|^2}\right)\cdot\left(\frac{e_j}{|x|^2}-\frac{2x_jx}{|x|^4}\right). \end{align*}
So the gradient of our composite function should be:
$$\nabla\left(H\left(\frac{x}{|x|^2}\right)\right)=\frac{1}{|x|^2}\nabla H\left(\frac{x}{|x|^2}\right)-\frac{2x}{|x|^4}\nabla\left(\frac{x}{|x|^2}\right)\cdot x.$$
And now things get messy as we deal with horrid pure second partials:
\begin{align*} \partial_j^2\left(H\left(\frac{x}{|x|^2}\right)\right)={}&\partial_j\left(\sum_k\partial_kH\left(\frac{x}{|x|^2}\right)\left(\frac{\delta_{jk}}{|x|^2}-\frac{2x_jx_k}{|x|^4}\right)\right)={} \\ {}={}&\sum_k\partial_j\left(\partial_kH\left(\frac{x}{|x|^2}\right)\left(\frac{\delta_{jk}}{|x|^2}-\frac{2x_jx_k}{|x|^4}\right)\right)+{} \\ &{}+\sum_k\partial_kH\left(\frac{x}{|x|^2}\right)\left(\frac{-2\delta_{jk}x_j}{|x|^4}-\frac{2x_k}{|x|^4}-\frac{2x_j\delta_{jk}}{|x|^4}+\frac{8x_j^2x_k}{|x|^6}\right)={} \\ {}={}&\sum_k\sum_\ell\partial_\ell\partial_kH\left(\frac{x}{|x|^2}\right)\left(\frac{\delta_{\ell j}}{|x|^2}-\frac{2x_\ell x_j}{|x|^4}\right)\left(\frac{\delta_{jk}}{|x|^2}-\frac{2x_jx_k}{|x|^4}\right)+{} \\ &{}+\sum_k\partial_kH\left(\frac{x}{|x|^2}\right)\left(-\frac{2\delta_{jk}x_j}{|x|^4}-\frac{2x_k}{|x|^4}-\frac{2x_j\delta_{jk}}{|x|^4}+\frac{8x_j^2x_k}{|x|^6}\right)={} \\ {}={}&\sum_k\sum_\ell\partial_\ell\partial_kH\left(\frac{x}{|x|^2}\right)\left(\frac{\delta_{\ell j}}{|x|^2}-\frac{2x_\ell x_j}{|x|^4}\right)\left(\frac{\delta_{kj}}{|x|^2}-\frac{2x_kx_j}{|x|^4}\right)+{} \\ &{}-\frac{4x_j}{|x|^4}\partial_jH\left(\frac{x}{|x|^2}\right)-\frac{2}{|x|^4}\nabla H\left(\frac{x}{|x|^2}\right)\cdot x+\frac{8x_j}{|x|^6}\nabla H\left(\frac{x}{|x|^4}\right)\cdot x={} \\ {}={}&\partial_j^2H\left(\frac{x}{|x|^2}\right)\frac{1}{|x|^4}-\frac{2}{|x|^6}\sum_k\partial_j\partial_kH\left(\frac{x}{|x|^2}\right)x_jx_k+{} \\ &{}-\frac{2}{|x|^6}\sum_\ell\partial_\ell\partial_jH\left(\frac{x}{|x|^2}\right)x_\ell x_j+\frac{4}{|x|^8}x_j^2\sum_{\ell,k}\partial_\ell\partial_kH\left(\frac{x}{|x|^2}\right)x_\ell x_k+{} \\ &{}-\frac{4x_j}{|x|^4}\partial_jH\left(\frac{x}{|x|^2}\right)-\frac{2}{|x|^4}\nabla H\left(\frac{x}{|x|^2}\right)\cdot x+\frac{8x_j}{|x|^6}\nabla H\left(\frac{x}{|x|^4}\right)\cdot x={} \\ {}={}&\partial_j^2H\left(\frac{x}{|x|^2}\right)\frac{1}{|x|^4}-\frac{4}{|x|^6}\sum_k\partial_k\partial_jH\left(\frac{x}{|x|^2}\right)x_jx_k+{} \\ &{}+\frac{4}{|x|^8}x_j^2\sum_{\ell,k}\partial_\ell\partial_kH\left(\frac{x}{|x|^2}\right)x_\ell x_k-\frac{4x_j}{|x|^4}\partial_jH\left(\frac{x}{|x|^2}\right)-\frac{2}{|x|^4}\nabla H\left(\frac{x}{|x|^2}\right)+{} \\ &{}+\frac{8x_j^2}{|x|^6}\nabla H\left(\frac{x}{|x|^2}\right)\cdot x. \end{align*}
Oh my. Now, summing over $j$, I should get:
\begin{align*} \Delta\left(H\left(\frac{x}{|x|^2}\right)\right)={}&\underbrace{\Delta H\left(\frac{x}{|x|^2}\right)}_{0\text{ by harmonicity of }H}-\underline{\frac{4}{|x|^6}x\cdot\operatorname{Hess}_H\left(\frac{x}{|x|^2}\right)\cdot x}+\underline{\frac{4}{|x|^6}x\cdot\operatorname{Hess}_H\left(\frac{x}{|x|^2}\right)\cdot x}+{} \\ &{}-\frac{4}{|x|^4}\nabla H\left(\frac{x}{|x|^2}\right)\cdot x-\frac{2\cdot3}{|x|^4}\nabla H\left(\frac{x}{|x|^2}\right)+\frac{8}{|x|^4}\nabla H\left(\frac{x}{|x|^2}\right)\cdot x={} \\ {}={}&-\frac{2}{|x|^2}\nabla H\left(\frac{x}{|x|^2}\right)\cdot\frac{x}{|x|^2}=-\frac{2}{|x|^2}\partial_\nu H\left(\frac{x}{|x|^2}\right). \end{align*}
Are we done? No! Now we need the other term, the gradient of $\frac{1}{|x|}$ scalar product with the gradient of $H(\frac{x}{|x|^2})$. Recall we found:
$$\nabla\left(H\left(\frac{x}{|x|^2}\right)\right)=\frac{1}{|x|^2}\nabla H\left(\frac{x}{|x|^2}\right)-\frac{2x}{|x|^4}\nabla\left(\frac{x}{|x|^2}\right)\cdot x.$$
So the other missing term would be:
\begin{align*} 2\nabla\left(\frac{1}{|x|}\right)\cdot\nabla\left(H\left(\frac{x}{|x|^2}\right)\right){}={}&-\frac{2x}{|x|^3}\cdot\frac{1}{|x|^2}\nabla H\left(\frac{x}{|x|^2}\right)-\frac{2x}{|x|^4}\nabla\left(\frac{x}{|x|^2}\right)\cdot x={} \\ {}={}&-2\sum_j\partial_jH\left(\frac{x}{|x|^2}\right)\frac{2x_j}{|x|^5}+\frac{8}{|x|^7}|x|^2\nabla H\left(\frac{x}{|x|^2}\right)\cdot c={} \\ {}={}&-2\nabla H\left(\frac{x}{|x|^2}\right)\cdot\frac{2x}{|x|^5}+\frac{8}{|x|^5}\nabla H\left(\frac{x}{|x|^2}\right)\cdot x={} \\ {}={}&\frac{4}{|x|^3}\partial_\nu H\left(\frac{x}{|x|^2}\right). \end{align*}
Oh no. I had forgotten a 2 in the laplacian of product formula. So the things do not cancel out, and I am left with a laplacian of:
$$\Delta\left(\frac{1}{|x|}H\left(\frac{x}{|x|^2}\right)\right)=\frac{2}{|x|^2}\partial_\nu H\left(\frac{x}{|x|^2}\right).$$
So I probably need that $\partial_\nu$ to be zero. Now, if $H$ is bounded, by Liouville I know it is, since $H$ is constant, but if it isn't? Besides, I am sure there must be another much less calc-y way of doing this, or this is not an exercise fit for an exam. It is absolutely impossible to get this right on a test, IMHO. So firstly, am I doing something wrong in the mess up there? And secondly, how else can one do this?
I didn't find a less calc-y solution, but assuming the mess is correct, we have two cases:
But of course, the question stays open whether I have a better trick than such a mess. I tried using averages, but I don't know how to handle the Jacobian if I integrate on a surface, and though averaging on balls doesn't, AFAIK, give me harmonicity (only surface averages do), I tried, and the Jacobian comes out to mess up, because the integrand after setting $z=\frac{x}{|x|^2}$ should be like $\frac{1}{|z|^4}H$, or the likes, which I can't use to conclude.