Let $B(X,Y)$ be the space of bounded linear maps from normed space $X$ to normed space $Y$. If $T:X \to Y$, $T\in B(X,Y)$ we define a norm on $B(X,Y)$ by $$\|T\|=\sup\{\|T(x)\|_Y:\|X\|_X \le 1 \}$$ where $\|\cdot\|_X,\|\cdot\|_Y$ the norms on $X$ and $Y$ respectively.
Prove the following:
1) $\|T(x)\| \le \|T\|\cdot \|x\|$ for all $x\in X$
2) $\|T\|=\inf\{M\gt 0:\|T(x)\|\le M \cdot \|x\|$ for all $x\in X \}$
We already know from the fact that $T$ is bounded that there exists a positive $M$ such that $\|T(x)\|\le M \cdot \|x\|$ for all $x\in X$.
My issue with (1) is, that in the case that $\|x\|\le 1$, wouldn't multiplying $\|T\|$ with $\|x\|$ give a number potentially smaller than $T(x)$ for some of the $x$?
(1) Fix $x\in X$. If $x=0$, then the inequality is trivial. Otherwise, consider $z=x/\|x\|$. Then, $\|z\|=1$, so, $\|T(z)\|\leq\|T\|$. Hence, $\frac{1}{\|x\|}\|T(x)\|\leq\|T\|$, which is (1).
(2) Let $A=\{M>0:\|T(x)\|\leq M\|x\|\text{ for all }x\in X\}$. We want to prove that $\|T\|=\inf A$. Suppose $M\in A$. Fix $x\in X$ with $\|x\|\leq 1$. Then, $\|T(x)\|\leq M\|x\|\leq M$. Since this holds for all $x$ with $\|x\|\leq 1$, it follows that $\|T\|\leq M$. Furthermore, since tince holds for arbitrary $M\in A$, it follows that $\|T\|\leq\inf A$. If $\|T\|<\inf A$, then $\|T\|\notin A$, so there must be an $x\in X$ such that $\|T(x)\|> \|T\|\|x\|$, which contradicts (1). Therefore, $\|T\|=\inf A$.