I'm not very familiar with convex sets and such. Appreciate any feedback for the following proof.
$\textbf{Proposition.}$ Suppose $A$ and $A^{*}$ are convex sets, where a matrix $M$ establishes one-to-one correspondence between the two. Prove that there is also a one-to-one correspondence between the extreme points of $A$ and $A^{*}$.
One-to-One Correspondence (given): $\forall \textbf{a} \in A,~\exists \mathbf{a^{*}} \in A^{*}$ s.t. $~M\mathbf{a} = \mathbf{a^{*}}$,$~$ and $\forall \mathbf{a^{*}} \in A^{*},~ \exists~\text{a single}~\mathbf{a} \in A$ s.t. $~M\mathbf{a} = \mathbf{a^{*}}$.
$\textit{Proof.}$ Let $\xi(A)$ be the set of all extreme points of A. Similarly, let $\xi(A^{*})$ be the set of all extreme points of $A^{*}$. Suppose $x^{*} \in \xi(A^{*})$ is not an extreme point and $x \in \xi(A)$ is an extreme point. Then there exists two distinct $x_1^{*}, x_2^{*} \in A^{*}$ and $\lambda \in (0, 1)$ such that
\begin{equation*} x^{*} = \lambda x_1^{*} + (1 - \lambda)x_2^{*}. \end{equation*}
Hence,
\begin{align*} Mx^{*} &= \lambda Mx_1^{*} + (1 - \lambda)Mx_2^{*} \\ Mx^{*} &= M\left(\lambda x_1^{*} + (1 - \lambda)x_2^{*}\right) \\ x &= \lambda x_1 + (1 - \lambda)x_2, \end{align*}
which is a contradiction, since $x$ is an extreme point.
Now, since $\xi(A^{*}) \subset A^{*}$ and $\xi(A) \subset A$, it directly holds that for every $x^{*} \in \xi(A^{*})$ there exists a single $x \in \xi(A)$ such that $x^{*} = Mx$.