Math 2.0

Functional analysis Definition

Choquet theory

Builds on Locally convex spaceConvex setCompact setExtreme pointProbability measureContinuous linear mapKrein–Milman theoremDirac measure

Definition

Let EE be a real Hausdorff locally convex space, and let K⊆EK \subseteq E be a nonempty compact convex set. Let μ\mu be a Borel probability measure on KK, and let x∈Kx \in K. The measure μ\mu represents xx, and xx is the barycenter of μ\mu, if ℓ(x)=∫Kℓ dμ\ell(x) = \int_K \ell \, d\mu for every continuous linear form ℓ ⁣:E→ℝ\ell \colon E \to \R. Choquet theory is the study of representing measures of points of KK that are concentrated on the set ext⁡K\operatorname{ext} K of extreme points of KK.

Remarks

Every point of KK is represented by the Dirac measure at that point; the theory asks for measures on the extreme points. Choquet's theorem: if KK is metrizable, then ext⁡K\operatorname{ext} K is a GδG_\delta set, and every x∈Kx \in K is represented by a probability measure μ\mu with μ(ext⁡K)=1\mu(\operatorname{ext} K) = 1. The Bishop–de Leeuw theorem extends this to non-metrizable KK in a weaker form. For metrizable KK, the measure on ext⁡K\operatorname{ext} K is unique for every xx exactly when KK is a Choquet simplex.

Example: let K=[0,1]⊆ℝK = [0, 1] \subseteq \R, with ext⁡K={0,1}\operatorname{ext} K = \set{0, 1}. The measure μ=(1−x)δ0+xδ1\mu = (1 - x) \delta_0 + x \delta_1 represents xx. The check: for ℓ(t)=ct\ell(t) = c t, one gets ∫ℓ dμ=cx=ℓ(x)\int \ell \, d\mu = c x = \ell(x).

Non-example: for x=1/2x = 1/2, the measure δ0\delta_0 is concentrated on ext⁡K\operatorname{ext} K but does not represent xx, since its barycenter is 00.

For the square K=[0,1]2K = [0, 1]^2, the centre is represented by 12(δ(0,0)+δ(1,1))\frac12(\delta_{(0,0)} + \delta_{(1,1)}) and by 12(δ(1,0)+δ(0,1))\frac12(\delta_{(1,0)} + \delta_{(0,1)}), so uniqueness fails.

Reading path

To understand this page from the ground up, read these 11 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.
  • no evidence level
  1. Closure concept
  2. Compact set concept
  3. Continuous linear map concept
  4. Convex hull concept
  5. Convex set concept
  6. Dirac measure concept
  7. Extreme point concept
  8. Locally convex space concept
  9. Probability measure concept
  10. Krein–Milman theorem statement
  11. Choquet theory definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Choquet_theory
About this page
TagPBZDR2E342
URIm2://PBZDR2E342
Kinddefinition
WritingW0 stub
MSC46A55, 52A07
DefinesChoquet theory
UsesLocally convex space, Convex set, Compact set, Extreme point, Probability measure, Continuous linear map, Krein–Milman theorem, Dirac measure
Changed2 November 2026

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