An affine transformation t
is given by some square matrix a
and some vector b
, and maps x
to a * x + b
.
One can represent such a transformation t
by an augmented matrix,
whose first n
columns are those of a
and whose last column has
the entries of b
. We also denote this matrix by t
.
Then the n
first columns represent the linear part a
of the
transformation t
, and its last column represents the translation
part, the vector b
.
Since the transformation t
maps a vector x
to a * x + b
,
provided a
is invertible, with inverse A
, then so is t
,
and its inverse T
maps x
to A * x - A * b
.
Explanation: if y = t(x)
, then y = a * x + b
, so
y - b = a * x
, and if a
is invertible with inverse A
,
then A * y + A * (-b) = A * a * x
, which means
x =
A * y + A * (-b), so the linear part is
A
and the translation part is
A * (-b)`.
Therefore the matrix for t_inv
, also denoted as T
, has
A
as its first n
columns and A * (-b)
as its last column.
Here is an implementation of a function that returns the inverse of an
affine transformation. The function includes a documentation string which
summarizes the discussion above, and an example based on the one in
your question.
def affine_inverse(t, as_block_matrix=False):
"""
Return the inverse of this affine transformation
The affine transformation is given by some `n` by `(n + 1)`
matrix `t` whose `n` first columns represent the linear
part `a` of the transformation, and whose last column represents
the vector `b`, so that the transformation maps a vector `x`
to `a * x + b`. Provided `a` is invertible, with inverse `A`,
then so is `t`, and its inverse `T` maps `x` to `A * x - A * b`.
Optionally, `T` is returned as a block matrix.
EXAMPLE::
sage: k = GF(3)
sage: alist = [
....: [1, 0, 0, 2, 0, 2],
....: [2, 2, 1, 1, 2, 0],
....: [2, 0, 0, 2, 2, 2],
....: [2, 2, 0, 1, 1, 1],
....: [1, 0, 2, 0, 2, 0],
....: [0, 0, 0, 2, 0, 2],
....: ]
sage: blist = (1, 1, 0, 1, 0, 2)
sage: a = matrix(k, alist)
sage: n = a.nrows()
sage: b = matrix(k, n, 1, blist)
sage: t = a.augment(b)
sage: affine_inverse(t)
[1 0 0 0 0 2 1]
[1 0 2 2 0 2 2]
[2 0 1 0 2 0 1]
[2 1 0 2 1 0 1]
[2 0 2 0 0 2 0]
[1 2 0 1 2 2 1]
sage: affine_inverse(t, as_block_matrix=True)
[1 0 0 0 0 2|1]
[1 0 2 2 0 2|2]
[2 0 1 0 2 0|1]
[2 1 0 2 1 0|1]
[2 0 2 0 0 2|0]
[1 2 0 1 2 2|1]
"""
k = t.base_ring()
n = t.nrows()
a = t.delete_columns([n])
b = t.delete_columns(range(n))
A = ~a
if as_block_matrix:
return block_matrix(k, 1, 2, [A, A * -b])
return A.augment(A * -b)
Can you provide an example of an affine transformation you are interested in?
I have edited my question with an example, any help would be appreciated.
Do you mean like a projective coordinate representation? In that case if you have
Mx+b
you could make a block matrix out ofM
andb
likeblock_matrix([[M,b],[0,1]])
or something, and then get that inverse. But I don't know if this is what you mean by the matrix representation of an affine transformation.