Polarity
Builds on Projective spaceVector spaceLinear subspaceBilinear formSesquilinear form
Definition
Let be a vector space of finite dimension over a division ring. Let be the set of its linear subspaces, which are the subspaces of the projective space . A correlation of is a bijection such that if and only if , for all . A polarity is a correlation with for all .
Remarks
A correlation sends subspaces of dimension to subspaces of dimension , so it exchanges points and hyperplanes. For a polarity , the hyperplane is the polar of the point , and is the pole of that hyperplane.
Example: let be a field, and , with the dot product . If then ; since the dot product is a non-degenerate symmetric bilinear form, and . So is a bijection that reverses inclusion and has : it is a polarity.
Non-example: on let be the matrix with rows , , , and let . This is a correlation, but . For one gets and , so , and is not a polarity.
Every correlation of comes from a non-degenerate sesquilinear form by . It is a polarity exactly when is reflexive, that is implies ; up to a scalar, such forms are symmetric, alternating or Hermitian.
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
- Bilinear form concept
- Linear subspace concept
- Projective space concept
- Sesquilinear form concept
- Vector space concept
- Polarity definition
Further reading
About this page
| Tag | GE75S5XZ9T |
|---|---|
| URI | m2://GE75S5XZ9T |
| Kind | definition |
| Writing | W0 stub |
| MSC | 51A10, 51A50 |
| Defines | Polarity |
| Uses | Projective space, Vector space, Linear subspace, Bilinear form, Sesquilinear form |
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.