Functional analysis Definition
Choquet theory
Builds on Locally convex spaceConvex setCompact setExtreme pointProbability measureContinuous linear mapKrein–Milman theoremDirac measure
Definition
Let be a real Hausdorff locally convex space, and let be a nonempty compact convex set. Let be a Borel probability measure on , and let . The measure represents , and is the barycenter of , if for every continuous linear form . Choquet theory is the study of representing measures of points of that are concentrated on the set of extreme points of .
Remarks
Every point of is represented by the Dirac measure at that point; the theory asks for measures on the extreme points. Choquet's theorem: if is metrizable, then is a set, and every is represented by a probability measure with . The Bishop–de Leeuw theorem extends this to non-metrizable in a weaker form. For metrizable , the measure on is unique for every exactly when is a Choquet simplex.
Example: let , with . The measure represents . The check: for , one gets .
Non-example: for , the measure is concentrated on but does not represent , since its barycenter is .
For the square , the centre is represented by and by , so uniqueness fails.
Reading path
To understand this page from the ground up, read these 11 pages in order. The foundations come first.
Show the path as a graph
- no evidence level
- Closure concept
- Compact set concept
- Continuous linear map concept
- Convex hull concept
- Convex set concept
- Dirac measure concept
- Extreme point concept
- Locally convex space concept
- Probability measure concept
- Krein–Milman theorem statement
- Choquet theory definition
Further reading
About this page
| Tag | PBZDR2E342 |
|---|---|
| URI | m2://PBZDR2E342 |
| Kind | definition |
| Writing | W0 stub |
| MSC | 46A55, 52A07 |
| Defines | Choquet theory |
| Uses | Locally convex space, Convex set, Compact set, Extreme point, Probability measure, Continuous linear map, Krein–Milman theorem, Dirac measure |
| Changed | 2 November 2026 |
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