Let $E$ be a normed vector space. Prove that the duality map $$F(x) = \{f \in E^*; \|f\| = \|x\| \text{ and } \langle f, x\rangle = \|x\|^2\}$$ is equal to $$\tilde{F}(x) = \{f \in E^* : \frac{1}{2}\|y\|^2 - \frac{1}{2}\|x\|^2 \geq \langle f ,y-x\rangle \quad\forall y \in E\}.$$ Suppose $f \in F(x)$ and $y \in E$, then $$\langle f ,y-x \rangle \leq \|x\|\|y\|| - \|x\|^2$$ and so $$\frac{1}{2}\|y\|^2 - \frac{1}{2}\|x\|^2 - \langle f ,y-x\rangle \geq \frac{1}{2}\|y\|^2 - \frac{1}{2}\|x\|^2 -\|x\|\|y\| + \|x\|^2 = \frac{1}{2}(\|y\|-\|x\|)^2 \geq 0$$
which proves $F(x) \subset \tilde{F}(x)$.
I'm stuck on showing $\tilde{F}(x) \subset F(x)$. Suppose $f \in \tilde{F}(x)$, then I tried choosing $y = 0$ $$\frac{1}{2}\|x\|^2 \leq \langle f, x\rangle$$ but this didn't lead anywhere. How can I show that $\|f\| = \|x\|$ and $\langle f, x\rangle = \|x\|^2$?