Math 2.0

Functional analysis Hahn-Banach and convexity Theorem

Krein–Milman theorem

Builds on Locally convex spaceConvex setCompact setExtreme pointConvex hullClosure

Statement

Let XX be a Hausdorff locally convex space over ℝ\R or ℂ\C, and let K⊆XK \subseteq X be a nonempty compact convex set. Then KK has at least one extreme point. Moreover, KK is the closure of the convex hull of the set ext⁡K\operatorname{ext} K of its extreme points: K=conv⁡‾(ext⁡K).K = \overline{\operatorname{conv}}(\operatorname{ext} K).

Remarks

Call a nonempty closed subset F⊆KF \subseteq K a face if every open segment of KK that meets FF has both endpoints in FF. By Zorn's lemma and compactness, every face contains a minimal face. A minimal face is a single point, since otherwise a continuous functional that separates two of its points would cut out a smaller face; that point is extreme. If conv⁡‾(ext⁡K)\overline{\operatorname{conv}}(\operatorname{ext} K) were smaller than KK, the Hahn–Banach separation theorem would give a continuous functional whose real part has its maximum on KK only on a face disjoint from ext⁡K\operatorname{ext} K. But that face contains a minimal face, which is an extreme point of KK, a contradiction.

For the square [0,1]2[0, 1]^2 in ℝ2\R^2 the theorem says that the square is the convex hull of its four corners. A standard application: the closed unit ball of a dual Banach space is weak*-compact by the Banach–Alaoglu theorem, so it has extreme points. The unit ball of c0c_0 has no extreme points, so c0c_0 is not isometrically isomorphic to the dual of any Banach space. Compactness is needed: the closed half-plane {(x,y):y≥0}\set{(x, y) : y \ge 0} in ℝ2\R^2 is closed and convex but has no extreme points.

Going deeper

For a student

The theorem is used to prove that certain Banach spaces are not dual spaces, by showing that their unit balls lack extreme points. In measure theory and probability, the extreme points of compact convex sets of measures or states are often the "pure" or "ergodic" objects. The theorem shows that they generate everything. Choquet theory refines the closed convex hull into an integral representation over the extreme points. The proof combines Zorn's lemma with the Hahn–Banach separation theorem.

Reading path

To understand this page from the ground up, read these 7 pages in order. The foundations come first.

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Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
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  1. Closure concept
  2. Compact set concept
  3. Convex hull concept
  4. Convex set concept
  5. Extreme point concept
  6. Locally convex space concept
  7. Krein–Milman theorem statement

Where this leads

1 page builds on this one.

Further reading

  1. Web https://en.wikipedia.org/wiki/Krein%E2%80%93Milman_theorem
About this page
TagRSRAY0Q68S
URIm2://RSRAY0Q68S
Kindstatement, theorem
WritingW0 stub
MSC46A55, 52A07
StatusThis copy of the site has no build data. Run m2 status RSRAY0Q68S.
AboutExtreme point, Convex hull
UsesLocally convex space, Convex set, Compact set, Extreme point, Convex hull, Closure
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Changed2 November 2026

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