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projectivity
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(Definition)
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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
is a bijection, and
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 . Other properties preserved by are incidence: if
, then
; and cross ratios.
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).
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Cross-references: matrix, invertible, terms, expressible, bases, finite dimensional, representation, homogeneous coordinate, linear isomorphism, projective spaces, collinear, linear transformation, induced, fundamental theorem of projective geometry, induces, finite, easy to see, subspace of a subspace, automorphism, semilinear transformation, bijective, subspace, dimensions, preserves, planes, lines, points, property, order, bijection, function, field, vector spaces, projective geometries
There are 10 references to this entry.
This is version 7 of projectivity, born on 2006-06-09, modified 2006-06-17.
Object id is 7982, canonical name is Projectivity.
Accessed 2663 times total.
Classification:
| AMS MSC: | 51A05 (Geometry :: Linear incidence geometry :: General theory and projective geometries) | | | 51A10 (Geometry :: Linear incidence geometry :: Homomorphism, automorphism and dualities) |
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Pending Errata and Addenda
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