Exercise 2.5 of Izenman's Modern Multivariate Statistical Techniques:
Consider a hypercube of dimension $r$ and sides of length $2A$ and inscribe in it an $r$-dimensional sphere of radius $A$. Find the proportion of the volume of the hypercube that is inside the hypersphere, and show that the proportion tends to $0$ as the dimensionality $r$ increases. In other words, show that all the density sits in the corners of the hypercube.
Let $C$ be the volume of the hypercube, and $S$ be the volume of the hypersphere. Then $$\dfrac{C}{S} = \dfrac{(2A)^r}{2\pi^{r/2}A^r/[r\Gamma(r/2)]} = \dfrac{2^{r-1}r\Gamma(r/2)}{\pi^{r/2}}\text{.}$$ Does this really tend to $0$? If so, I don't see it and I don't think this would be true... since (I would think it's obvious that) $r\Gamma(r/2) > \pi^{r/2}$ for large $r$... or am I wrong?