How $\|f\|=\sup\left\{\frac{\vert f(x)\vert}{\|x\|}:x \ne 0,x\in X \right\}$ and $\|f\|=\sup\{\vert f(x)\vert:\|x\|=1 ,x\in X \}$ are equivalent?

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A linear functional $f$ on a normed space $X$ is said to be bounded if there is a constant $K\gt0$ such that $$\vert f\vert \le K \|x\|,\quad\forall x\in X\tag{1}$$

The smallest constant $K$ for which $(1)$ holds is called the norm of $f$. Then,

$$\|f\|=\sup\left\{\frac{\vert f(x)\vert}{\|x\|}:x \ne 0,x\in X \right\}\tag{2}$$

or equivalently $$\|f\|=\sup\left\{\vert f(x)\vert:\|x\|=1 ,x\in X \right\}\tag{3}$$

I'm not getting how $(2)$ and $(3)$ are equivalent?

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This follows from the linearity of $f$ and the properties of the norm: note that $$ \frac{|f(x)|}{||x||}=\Big|\,f\Big(\frac{x}{||x||}\Big)\Big|=|f(u_x)| $$ where $u_x=\frac{x}{||x||}$ satisfies $||u_x||=1$. Therefore taking the supremum over either set yields the same result:

Indeed, if we let $$ S_1=\sup\{\frac{|f(x)|}{||x||}:x\neq 0\}$$ and $$ S_2=\sup\{|f(x)|:||x||=1\} $$ then $S_2\leq S_1$ since the second set is contained in the first. But on the other hand, for any $x\neq 0$ we have $$ \frac{|f(x)|}{||x||}=|f(u_x)|\leq S_2 $$ so taking the supremum over all $x\neq 0$ yields $S_1\leq S_2$.