projectivity
Let and be projective geometries, with vector spaces over a field . A function from to is called a projective transformation, or simply a projectivity if
-
1.
is a bijection, and
-
2.
is order preserving.
A projective property is any geometric property, such as incidence, linearity, etc… that is preserved under a projectivity.
From the definition, we see that a projectivity carries 0 to 0, to . Furthermore, it carries points to points, lines to lines, planes to planes, etc.. In short, preserves linearity. Because is a bijection, also preserves dimensions, that is , for any subspace of . In particular, . Other properties preserved by are incidence: if , then ; and cross ratios (http://planetmath.org/CrossRatio).
Every bijective semilinear transformation defines a projectiviity. To see this, let be a semilinear transformation. If is a subspace of , then is a subspace of , as , then , and , where is an automorphism of the common underlying field . Also, if is a subspace of a subspace of , then is a subspace of . Now if we define by , it is easy to see that is a projectivity.
Conversely, if and are of finite dimension greater than , then a projectivity induces a semilinear transformation . This highly non-trivial fact is the (first) fundamental theorem of projective geometry.
If the semilinear transformation induced by the projectivity is in fact a linear transformation, then is a collineation: three distinct collinear points are mapped to three distinct collinear points.
Remark. The definition given in this entry is a generalization of the definition typically given for a projective transformation. In the more restictive definition, a projectivity is defined merely as a bijection between two projective spaces that is induced by a linear isomorphism. More precisely, if and are projective spaces induced by the vector spaces and , if is a bijective linear transformation, then defined by
is the corresponding projective transformation. is the homogeneous coordinate representation of . In this definition, a projectiity is always a collineation. In the case where the vector spaces are finite dimensional with specified bases, is expressible in terms of an invertible matrix ( where is an invertible matrix).
Title | projectivity |
Canonical name | Projectivity |
Date of creation | 2013-03-22 15:58:00 |
Last modified on | 2013-03-22 15:58:00 |
Owner | CWoo (3771) |
Last modified by | CWoo (3771) |
Numerical id | 11 |
Author | CWoo (3771) |
Entry type | Definition |
Classification | msc 51A10 |
Classification | msc 51A05 |
Related topic | PolaritiesAndForms |
Related topic | SesquilinearFormsOverGeneralFields |
Related topic | Perspectivity |
Related topic | ProjectiveSpace |
Related topic | LinearFunction |
Related topic | Collineation |
Defines | projective transformation |
Defines | projective property |