Convex and discrete geometry Theorem
Brunn–Minkowski theorem
Builds on Lebesgue measureCompact set
Statement
Let , and let be Lebesgue measure on . Let be nonempty compact sets, and let be their Minkowski sum. Then
Remarks
For compact and the set is compact, hence measurable; for general measurable sets need not be measurable. One proof first checks boxes, where the inequality is the AM–GM inequality for the side ratios. It then passes to finite unions of disjoint boxes by induction on the number of boxes, cutting both sets by a coordinate hyperplane in matching proportions. Compact sets are then approximated from outside by such unions. Another proof applies the Prékopa–Leindler inequality to indicator functions. For compact convex sets of positive volume, equality holds if and only if and are homothetic. Example: for balls of radii and , is a ball of radius , and both sides equal , where is the volume of the unit ball.
Going deeper
For a student
The function is concave on for convex and ; this concavity form goes back to Brunn. Applied to and a small ball, the theorem gives the isoperimetric inequality. It is the starting point of the theory of mixed volumes, and it has a functional form, the Prékopa–Leindler inequality, used in probability and convex geometry.
Reading path
To understand this page from the ground up, read these 6 pages in order. The foundations come first.
Show the path as a graph
- no evidence level
- Borel sigma-algebra concept
- Compact set concept
- Euclidean space object
- Outer measure concept
- Lebesgue measure object
- Brunn–Minkowski theorem statement
Where this leads
1 page builds on this one.
Further reading
About this page
| Tag | 9B02RPN7XD |
|---|---|
| URI | m2://9B02RPN7XD |
| Kind | statement, theorem |
| Writing | W0 stub |
| MSC | 52A40, 28A75 |
| Status | This copy of the site has no build data. Run m2 status 9B02RPN7XD. |
| About | Lebesgue measure |
| Uses | Lebesgue measure, Compact set |
| Same as | |
| Changed | 2 November 2026 |
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