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collineation
In Euclidean geometry, translations and dilations are both examples of one-to-one onto functions that map straight lines to straight lines. Collineation is a generalization of this notion to more abstract geometric structures.
Definition. Let be a near-linear space. A collineation on is an one-to-one onto linear function on such that its inverse is also linear. A collineation on is also called an automorphism on .
It is easy to see that a collineation preserves collinearity: if three points are collinear, so are their images under a collineation.
Example 1. let be the near-linear space consisting of four points , and four lines , and .
\pspicture(0,0)(2,2) \pssetunit=2cm \psdots[linecolor=blue,dotsize=5pt](0,0) \psdots[linecolor=blue,dotsize=5pt](0,1) \psdots[linecolor=blue,dotsize=5pt](1,1) \psdots[linecolor=blue,dotsize=5pt](1,0) \pspolygon(0,0)(0,1)(1,1)(1,0) \rput[r](-0.125,0) \rput[r](-0.125,1) \rput[l](1.125,1) \rput[l](1.125,0)
There are six collineations of :
-
is the identity function,
-
,
-
,
-
,
-
,
-
.
It is easy to see that this is the alternating group on four letters .
If is added as another line of ,
\pspicture(0,0)(2,2) \pssetunit=2cm \psdots[linecolor=blue,dotsize=5pt](0,0) \psdots[linecolor=blue,dotsize=5pt](0,1) \psdots[linecolor=blue,dotsize=5pt](1,1) \psdots[linecolor=blue,dotsize=5pt](1,0) \pspolygon(0,0)(0,1)(1,1)(1,0) \psline(0,1)(1,0) \rput[r](-0.125,0) \rput[r](-0.125,1) \rput[l](1.125,1) \rput[l](1.125,0)
then and above are no longer collineations of . The resulting set is the Klein 4-group.
What we have seen is true in general: the set of all collineation on a near-linear space is a group under functional composition. This group is sometimes written .
Example 2. Let be an -dimensional vector space over some division ring , with . One may form the affine space over . The points and lines of are respectively cosets of zero and one dimensional subspaces of , and is a linear space. Collineations of are called affinities. Common examples of affinities are translations, dilations, and reflections (with respect to lines).
Example 3. Again let and be as in the last example. One may form the projective space over . The points and lines of are one and two dimensional subspaces of , and is a linear space. Collineations of are called projectivities.
A point is called a fixed point of if . A line is a fixed line of if . Note that fixes line merely means that permutes the points on , and does not necessarily fix them.
Definition. Given a collineation on , a center of is a point of such that fixes all lines passing through . An axis of is a hyperplane of such that fixes all points in . A collineation is said to be central if it has a center, and axial if it has an axis.
It can be shown that, in a projective space, central collineations are precisely the same as axial collineations. Furthermore, if the (central) collineation is not the identity, then it has a unique center and a unique axis. Given a projective space, non-identity central collineations can further be classified: those with centers lying in their axes are called elations, and homologies otherwise.
References
- 1 L. M. Batten, Combinatorics of Finite Geometries, 2nd edition, Cambridge University Press (1997)
- 2 A. Beutelspacher, U. Rosenbaum Projective Geometry, From Foundations to Applications, Cambridge University Press (2000)
Mathematics Subject Classification
51A45 Incidence structures imbeddable into projective geometries51A05 General theory and projective geometries
05C65 Hypergraphs
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