Could someone explain the second equality in the definition of a induced matrix norm to me?
Let $\| \cdot \|$ be a norm for $\cdot \in \mathbb{R}^n$, then the induced matrixnorm for $A\in \mathbb{R}^{n\times n}$ is given by:
$$\|A\| = \sup_{x\not = 0} \frac{\|Ax\|}{\|x\|} \color{red}{\stackrel{?}{=}} \max_{\|x\|= 1} \|Ax\|$$
Problem:
Why does $\color{red}{=}$ hold?
I know $\|Ax\|$ is continous for all $x\in \mathbb{R}^n$ and $\{x \in \mathbb{R}^n :\|x\| = 1 \}$ is compact which implies $\dfrac{\|Ax\|}{\|x\|}$ to reach a maximum according to Weierstrass.
But why is this maximum also the maximum for all $x$? (even those with norm bigger or less then 1?)