Krein-Milman Theorem

Theorem
Let $\struct {X, \norm \cdot}$ be a normed vector space over $\R$.

Let $K$ be a non-empty compact convex subset of $X$.

Let $\map E K$ be the set of extreme points in $K$.

Then $K$ is the closed convex hull of $\map E K$.

Proof
Let $K'$ be the closed convex hull of $\map E K$.

We show that $K' = K$.

From Convex Hull is Smallest Convex Set containing Set, we have:


 * $\map E K \subseteq \map {\operatorname {conv} } {\map E K}$

From Set is Subset of its Topological Closure, we therefore have:


 * $\map E K \subseteq K'$

We also have, from Convex Hull preserves Subsets:


 * $\map {\operatorname {conv} } {\map E K} \subseteq \map {\operatorname {conv} } K$

From Convex Hull is Smallest Convex Set containing Set: Corollary, we have:


 * $\map {\operatorname {conv} } {\map E K} \subseteq K$

Then, from Set Closure Preserves Set Inclusion, we have:


 * $K' \subseteq K^-$

where $K^-$ is the closure of $K$.

From Compact Subspace of Hausdorff Space is Closed, we have that:


 * $K$ is closed.

So we have:


 * $K' \subseteq K$

suppose that $K' \ne K$.

Then there exists $a \in K \setminus K'$.

Note that $K'$ is closed from Topological Closure is Closed.

Since $K$ is compact and $K' \subseteq K$, we have:


 * $K'$ is compact

from Closed Subspace of Compact Space is Compact.

From Closed Convex Hull in Normed Vector Space is Convex, we have that:


 * $K'$ is convex.

Finally:


 * $\set a$ is closed

from Singleton in Normed Vector Space is Closed, and:


 * $\set a$ is convex

from Singleton is Convex Set.

So, from Hahn-Banach Separation Theorem in the case of a compact convex set and a closed convex set, there exists $f \in X^\ast$ such that:


 * $\map f x < \map f a$

for each $x \in K'$.

Now let:


 * $\ds K^f = \set {x \in K : \map f x = \max_{y \in K} \map f y}$

From Preimage of Maximum of Bounded Linear Functional on Extreme Set in Convex Compact Set is Extreme Set:


 * $K^f$ is an extreme set in $K$.

Since:


 * $\map f x < \map f a$ for each $x \in K'$

we have:


 * $\ds \map f x < \max_{y \in K} \map f y$ for each $x \in K'$

from the definition of maximum.

So, we have:


 * $K^f \cap K' = \O$

However, from Extreme Set in Compact Convex Set contains Extreme Point, we also have:


 * $K^f$ contains an extreme point of $K$, say $x \in \map E K$

while:


 * $\map E K \subseteq K$

So we have:


 * $x \in K^f \cap K'$

contradicting that $K^f \cap K$ is empty.

So, there exists no such $a \in K \setminus K'$, and we have:


 * $K = K'$