Let $d \in \mathbb N$ and $E_{d}:=\{x \in \mathbb R^{d}:|x|\leq 1\}$
Prove that $$ \lambda^{d}(E_{d})=\frac{\pi^{\frac{d}{2}}}{\Gamma(\frac{d}{2}+1)} $$
and determine $\lambda^{d}(E_{d})$ as $d \to \infty$
I struggle with d-dimensional volume, so I will try the behavior for $d \to \infty$
Note:
$$\frac{\pi^{\frac{d}{2}}}{\Gamma(\frac{d}{2}+1)}=\frac{\pi^{\frac{d}{2}}}{\int_{0}^{\infty}x^{\frac{d}{2}}e^{-x}dx}$$
Looking particularly at:
$\int_{0}^{\infty}x^{\frac{d}{2}}e^{-x}dx$ it looks like partial integration, but I wouldn't as $d \in \mathbb N$. I would use substitution, namely $y = x^{\frac{d}{2}}\Rightarrow \frac{2}{d}dy=x^{\frac{d}{2}-1}dx$. But this is a dead end, as $x$ does not disappear
Any ideas?