[step:Construct a separating support direction for a point outside $K$]
Fix $y\in \mathbb R^n\setminus K$. Define
\begin{align*}
\phi:K&\to \mathbb R\\
z&\mapsto |y-z|^2 .
\end{align*}
The function $\phi$ is continuous, and $K$ is compact and non-empty, so there exists $x_0\in K$ such that
\begin{align*}
|y-x_0|^2=\min_{z\in K}|y-z|^2.
\end{align*}
Since $y\notin K$, we have $y\ne x_0$. Define $u_0:=y-x_0\in \mathbb R^n\setminus\{0\}$.
We claim that $\langle x-x_0,u_0\rangle\le 0$ for every $x\in K$. Fix $x\in K$ and define
\begin{align*}
\gamma:[0,1]&\to K\\
t&\mapsto (1-t)x_0+tx .
\end{align*}
This map has image in $K$ because $K$ is convex. By the minimizing property of $x_0$,
\begin{align*}
|y-x_0|^2\le |y-\gamma(t)|^2
\end{align*}
for every $t\in[0,1]$. Since $y-\gamma(t)=u_0-t(x-x_0)$, this gives
\begin{align*}
|u_0|^2\le |u_0-t(x-x_0)|^2
=|u_0|^2-2t\langle u_0,x-x_0\rangle+t^2|x-x_0|^2 .
\end{align*}
Hence, for every $t\in(0,1]$,
\begin{align*}
2\langle u_0,x-x_0\rangle\le t|x-x_0|^2.
\end{align*}
Letting $t\to 0^+$ yields
\begin{align*}
\langle x-x_0,u_0\rangle\le 0.
\end{align*}
Therefore, for every $x\in K$,
\begin{align*}
\langle x,u_0\rangle\le \langle x_0,u_0\rangle.
\end{align*}
Taking the supremum over $x\in K$ gives
\begin{align*}
h_K(u_0)\le \langle x_0,u_0\rangle.
\end{align*}
On the other hand,
\begin{align*}
\langle y,u_0\rangle
=\langle x_0+u_0,u_0\rangle
=\langle x_0,u_0\rangle+|u_0|^2
>\langle x_0,u_0\rangle .
\end{align*}
Thus
\begin{align*}
h_K(u_0)<\langle y,u_0\rangle.
\end{align*}
So $y\notin A$.
[/step]