Linear algebra/K/Homomorphism space/Introduction/Section
Let be a field, and let and be -vector spaces. Then
is called the space of homomorphisms. It is endowed with the addition defined by
and the scalar multiplication defined by
Due to exercise, this is indeed a -vector space.
Let be a -vector space over the field . Then the mapping
is an isomorphism of vector spaces, see exercise.
Let be a field, and let and be
-vector spaces. Then the following hold.- A
linear mapping
from another vector space induces a linear mapping
- A
linear mapping
to another vector space induces a linear mapping
Proof
Let be a -vector space together with a direct sum decomposition
Let be another -vector space and let
and
denote linear mappings. Then we get, by setting
where is the direct decomposition, a linear mapping
The mapping is well-defined, since the representation with and is unique. The linearity follows from
Let be a field, and let and be -vector spaces. Let
and
de direct sum decompositions and let
denote the canonical projections. Then the mapping
is an isomorphism. If we consider as linear subspaces of , then we have the direct sum decomposition
It follows directly from fact that the given mapping is linear. In order to prove injectivity, let with be given. Then there exists some such that
Let with . Then also for some . Therefore, for some . Hence
In order to prove surjectivity, let a family of homomorphisms , be given, which we consider as mappings to . Then the
are linear mappings from to . This yields via fact a linear mapping from to , which restricts to the given mappings.
Let denote a field and let and denote finite-dimensional -vector spaces. Let be a basis of and be a basis of . Then the assignment
is an isomorphism
of -vector spaces.The bijectivity was shown in fact. The additivity follows from
where the index denotes the -th component with respect to the basis .
This means that we can consider the direct sum decomposition for the one-dimensional linear subspaces
bzw.
corresponding to bases and apply
fact.
Let denote a field, and let and denote finite-dimensional -vector spaces with dimensions and . Then
This follows immediately from fact.