TITLE: Fenchel-Rockafellar Duality in Villani's Book
QUESTION [6 upvotes]: Villiani writes (some notation changed) in Topics in Optimal Mass Transportation:

Theorem 1.9. Let $E$ be a normed VS, $E^*$ it topological dual. $\Theta$ and $\Psi$ are two convex functions on $E$ with values in $\mathbb{R}\cup{+\infty}$. Let $\Theta^*$ and $\Psi^*$ be Legendre-Fenchel transforms of $\Theta$ and $\Psi$ (Earlier definited as $R^*(z^*) = \sup_{z\in E}[<z^*,z>-R(z)]$). Assume that there exists $z_0\in E$ such that $\Theta(z_0)$ and $\Psi(z_0)$ are finite and $\Theta$ is continuous at $z_0$. Then:
  $$\inf_E[\Theta + \Psi]=\max_{z^*\in E^*}[-\Theta^*(-z^*)-\Psi^*(z^*)]$$

He begins his proof by saying: We want to prove:
$$\sup_{z^*\in E^*} \inf_{x,y\in E} [\Theta(x) + \Psi(y) + <z^*,x-y>]=\inf_{x\in E}[\Theta + \Psi]$$
Then he says: The choice of $x=y$ shows that the LHS is not larger than the RHS.

I'm confused about where his "sup inf" expression is coming from. I mean I get there's a substitution but that's it. Does someone understand where this expression is coming from?
Doesn't a choice of $x=y$ establish equality?

REPLY [4 votes]: More details based on Steve's comment: We have
\begin{align}
 -\Theta^*(-z^*) &= - \sup_{x \in E} \big[ \langle-z^*,x \rangle - \Theta(x) \big] \\
 &=\inf_{x \in E} \big[ \langle z^*,x \rangle + \Theta(x) \big]
\end{align}
and
\begin{align}
 -\Psi^*(z^*) &= - \sup_{y  \in E} \big[ \langle z^*,y \rangle - \Psi(y) \big] \\
 &=\inf_{y \in E} \big[ \langle z^*,- y \rangle + \Psi(y) \big]
\end{align}
Then,
\begin{align}
 -\Theta^*(-z^*) -\Psi^*(z^*) &=  \inf_{x,y \in E} \big[ \langle z^*,x -y\rangle + \Theta(x) + \Psi(y)\big]
\end{align}