TITLE: p-Norm with p $\to$ infinity
QUESTION [6 upvotes]: I have to show that:
for all vectors $v\in \Bbb R^n$: $\lim_{p\to \infty}||v||_p = \max_{1\le i \le n}|v_i|$
with the $||\cdot ||_p$ norm defined as $$ ||\cdot ||_p: (v_1, \dots ,v_n) \to (\sum^n_{i=i} |v_i|^p)^{1/p} $$
I think I once read something about mixing the root and the same power with the power going to infinity but i can't really remember anything concrete.
Any Ideas?
Thanks in advance

REPLY [4 votes]: As a norm is completely described by its unit ball, let us see the way unit balls of $||.||_p$ converge. 
See (classical) pictures below of the unit balls of $||.||_1 (square), ||.||_2 (circle), ||.||_3$ and $||.||_9$ in $\mathbb{R}^2$. These balls are getting more and more "square" as $p$ increases, the limit square being described by equation $\max(|x|,|y|)=1$,  providing a geometric intuition about the way the limit is obtained.

see https://en.wikipedia.org/wiki/Lp_space.