Linear algebra (Osnabrück 2024-2025)/Part I/Lecture 30



Affine generating systems

Let be an affine space over the -vector space . In this situation, the intersection of a family of affine subspaces , ,

is again an affine subspace.

If the intersection is empty, then the statement holds by definition. So let . We may write the affine subspaces as

with linear subspaces . Let

which is a linear subspace, due to Lemma 6.16   (1). We claim that

From , we can deduce

with , so that holds. If holds, then directly follows.

In particular, for every subset in an affine space , there exist a smallest affine subspace containing .


Let be an affine space over the -vector space , and let denote a subset. Then, the smallest affine subspace of , which contains , consists of all barycentric combinations

The given set contains the points from , as we can take a standard tuple as a barycentric coordinate tuple. Therefore, the claim follows from Lemma 29.14 and Exercise 29.20 .



Let be an affine space over the -vector space , and let be an affine subspace. A family of points , , is called an affine generating system

of , if is the smallest affine subspace of containing all points .

A point generates, as an affine space, the point itself, two points generate the connecting line.



Affine independence

Let be an affine space over a -vector space , and let

be a finite family of points in . We say that this family of points is affinely independent, if an equality

wit

is only possible if

for all

.

Let be an affine space over a -vector space , and let

denote a finite family of points in . Then the following statements are equivalent.
  1. The points are affinely independent.
  2. For every , the family of vectors

    is linearly independent.

  3. There exists some such that the family of vectors

    is linearly independent.

  4. The points form an affine basis in the affine subspace generated by them.

Proof



Affine mappings

Let be a field and let and denote affine spaces over the vector spaces  and , respectively. A mapping

is called affine (or affine-linear), if there exists a linear mapping

such that

holds for all and

.

It suffices to check this condition for just one point and all vectors, see Exercise 30.7 .


A mapping

is affine-linear with linear part if and only if the diagram

commutes. For an affine-linear mapping

the linear part (assume )

is uniquely determined. This is because we must have

for an arbitrary point . Therefore, we denote the linear part with . in particular, for two points , we have


Let be a field, and let and denote affine spaces over the vector spaces

 and . Then the following statements hold.
  1. The identity

    is affine-linear.

  2. The composition of affine-linear mappings

    and

    is again affine-linear.

  3. For a bijective affine-linear mapping

    also the inverse mapping is affine-linear.

  4. For , the translation

    is affine-linear.

  5. A linear mapping is affine-linear.

These properties follow immediately from the definition.



Let and denote affine spaces over a field , and let

denote a mapping. Then, is affine-linear if and only if for every barycentric combination with , the equality

holds.

Let and denote the vector spaces for and for , respectively. Suppose first that is affine-linear with linear part

Let a barycentric combination with and be given. Then we have (with an arbitrary point )

Now, suppose that the mapping is compatible with barycentric combinations. We set

for , where is any point. We first show that this is independent of the chosen point . The sum

is a barycentric combination of the point , see Exercise 29.15 . Therefore, we have in the equality

Hence, we have in the equality

and, therefore,

We have to show that is linear. For and , we have

Thus, we have



Let be a field, and let and denote affine spaces over the -vector spaces  and . A bijective affine-linear mapping

is called an

affine isomorphism.

In a certain sense, affine-linear mappings are built from translations and linear mappings.


Let be a field and let be an affine space over the vector space . Let . Then the affine-linear mappings

having as a fixed point correspond to the linear mappings

The assignment is given by . We have to show that for every linear mapping , there is a unique affine-linear mapping

with this linear part. Because of

there can exist at most one such an affine-linear mapping, and, by this rule, we can define such a mapping.


The following theorem is called Determination theorem for affine mappings, and is analogous to Theorem 10.10 .


Let be a field, and let and denote affine spaces over the vector spaces  and . Let , , denote an affine basis of , and let , , denote a family of points in . Then, there exists a uniquely determined affine-linear mapping

such that

for all

.

Let . Due to Theorem 10.10 , there exists a uniquely determined linear mapping

such that

for all . Therefore,

is an affine-linear mapping with the properties looked for. Such an affine mapping is uniquely determined by its linear part and the image of just one point, so that

must hold.



Let be a field, and let denote an affine space with an affine basis . Then the mapping

where denotes the barycentric coordinates of , is an affine-linear mapping, which provides an affine isomorphism between and the affine subspace , guven by

The translating vector space of is

Due to Theorem 30.12 , there exists a uniquely determined affine-linear mapping

sending to the -th standard vector . Because of Fact *****, the point

is sent to

Because of

this image point belongs to . Bijectivity is clear.


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