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Let be a vector space over a division ring . An affine subspace of is defined to be a coset of a (linear) vector subspace of . In other words, , where is a subspace of and is a vector.
It is evident that is uniquely determined by , and up to translation by a vector in . Suppose
. Since
, we see that
. Thus we may assume that
for any vector
, where is the subspace
. If , then
, and hence . So
. By symmetry, this shows . So we may speak of as the associated linear space of .
The dimension of an affine subspace is defined to be the dimension of . If has dimension 0, it is called a point. is a line or a plane if it has dimension 1 or 2, respectively. General
affine subspaces are also called flats, or subspaces when there is no confusion with the associated (linear) subspaces. An affine hyperplane is an affine subspace whose associated linear space is a hyperplane in .
Affine geometry is, generally speaking, the study the geometric properties of affine subspaces. In particular, it is the study of the incidence structure on affine subspaces. Operationally, we may define an affine geometry
of a vector space to be the poset of all affine subspaces of , orderd by set theoretic inclusion. Points in
are commonly written without the set theoretic brackets, so that
means
.
Next, we can define an incidence relation on
so that
iff
or
. Together with ,
becomes an incidence geometry. Two flats and are said to be parallel if they have the same associated subspace. As a result, two parallel flats are never incident unless they are equal. Also, given a point
not incident with , we can always find a flat incident with and parallel to . If with , simply take . This makes
an affine incidence geometry.
In addition, we define to be the smallest flat in
that contains both and . By Zorn's lemma, exists. Since is also unique, is well-defined. This turns
into an upper semilattice. If is the associated subspace of and is the associated subspace of , then
is the associated subspace of . The definition of can be extended to an arbitrary set of flats, so that
is the smallest flat that contains all flats in
. In fact, it is not hard to see that
is complete semilattice.
However, since may be empty,
is not a lattice in general via the “meet” ( ) operation. But when
,
. So is a partially defined operator on
. If one adjoins the empty set
to
, then
becomes a lattice.
is called the null subspace and its dimension is defined to be . One can show that
is a geometric lattice.
Although
, it is not special, since all points are treated equally; there is no notion of an origin in
. The notion of a metric is also absent, since the underlying vector space is not assumed to have an inner product. In fact, perpendicularity is not defined in
. In contrast, both notions are important in Euclidean geometry, where an inner product has been defined, so that 0 is the unique vector with 0 length.
Affine geometry and projective geometry are intimately related. Given an affine geometry
one can construct projective geometries. One easy way is to identify flats that are parallel to each other. Because the parallel relation is an equivalence relation, we can partition
into equivalence classes. Since each equivalence class is represented by exactly one subspace of , so
can be identified with . Of course, can also be viewed as a sub-poset of
(simply by taking all the subspaces of in
). More generally, if we fix any point
, and take all flats that are incident with , the resulting subset forms a modular complemented geometric lattice that is isomorphic to . In fact,
has the structure of a projective geometry.
Another way to construct a projective geometry from an affine one is to adjoin extra elements to
. Remember that
itself is not a lattice, but simply adjoining
to
won't give us a projective geometry either, because the resulting lattice is not modular (take two parallel lines
and a point lying on ; then
, while
). We start by taking a vector space such that is a subspace of of codimension 1 (This can be done by linear algebra). Our objective is to show that
is embeddable in .
Let be a non-zero vector and look at the affine hyperplane . Each affine subspace of the form in has the form in , where is a
subspace of and . Let
the collection of all affine subspaces (affine subspaces of that are incident with ). There is an obvious one-to-one order preserving correspondence between
and
.
Next, every affine subspace is the intersection of and a subspace of such that
and
. Just take
. Clearly
. In addition,
, or else gives us a contradiction. So
. Finally, if
, then
, where , , and . So
. This implies
. But , . Therefore
. This means that
.
The above paragraph shows there is a one-to-one order preserving map from
to . If we delete all subspaces of from , and call
 is not a subspace of 
then we actually get an order-preserving bijection between
and
.
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