Convex and discrete geometry Definition
Mixed volume
Builds on Convex bodyMinkowski additionLebesgue measureHomogeneous polynomial
Definition
Let and let be the set of nonempty compact convex subsets of (the convex bodies in the broad sense). Let be Lebesgue measure on . There is a unique function such that:
- is symmetric in its arguments;
- for every , all and all , where the sum on the left is the Minkowski sum.
The number is the mixed volume of .
Remarks
The left side of clause 2 is a homogeneous polynomial of degree in ; this is the theorem of Minkowski that makes the definition possible. An explicit formula is Mixed volumes are nonnegative, invariant under translating each argument, linear in each argument for Minkowski addition with nonnegative scalars, and monotone under inclusion. Also .
Example: , a compact convex set of area and perimeter , and the closed unit disk. The area of is , while clause 2 gives . So .
Non-example: without clause 1 the coefficients are not unique. For one may move all of the coefficient to the term and put at , which still satisfies clause 2.
Reading path
To understand this page from the ground up, read these 8 pages in order. The foundations come first.
Show the path as a graph
- no evidence level
- Borel sigma-algebra concept
- Convex body concept
- Euclidean space object
- Homogeneous polynomial concept
- Minkowski addition concept
- Outer measure concept
- Lebesgue measure object
- Mixed volume definition
Further reading
About this page
| Tag | 9PN6QZKFCB |
|---|---|
| URI | m2://9PN6QZKFCB |
| Kind | definition |
| Writing | W0 stub |
| MSC | 52A39 |
| Defines | Mixed volume |
| Uses | Convex body, Minkowski addition, Lebesgue measure, Homogeneous polynomial |
Markdown · JSON · Edit on GitHub
What this page needs for W1
- an inventory row: the row of the inventory that the node accounts for (0 of 1)
- a source with a locator (0 of 1)
The writing levels say how complete the text of a page is. They do not measure its truth.
What links here
No page links to this page yet.