- Let
- , where
and are affine spaces.
Then T is said to be an affine transformation if:
-
T maps vectors to vectors and points to points
-
T is a linear transformation on the vectors
-
By Extension:
T preserves affine combinations on the points:
where
- Observations:
-
- Affine transformations map lines to lines:
- Affine transformations preserve ratios of distance
along a line
(converse is also true: preserves ratios
of such distances affine).
- Examples:
- rigid body motions (translations, rotations),
scales, shears, reflections.
- Affine vs Linear
-
- Theorem:
- Affine transformations map parallel lines to
parallel lines.
Proof: Let and .
Suppose , which implies
by linearity.
Then
and
and we see that the images of both lines are parallel.
- Suppose we only have T defined on points.
-
- Define
- as follows:
- There exists points Q and R such that .
- Define to be T(Q)-T(R).
Note that Q and R are not unique.
The definition works for :
This can now be used to show that the definition is
well defined.
If Q-R=B-C then
- How do we map points/vectors through an affine transformation?
-
- Let
- and be affine spaces.
- Question:
- What are the coordinates
of T(P) relative to ?
- Fact:
- An affine transformation is completely characterized
by the image of a frame in the domain:
If
then we can find by substitution and
gathering like terms. \