Endomorphism/Polynomial/Inserting/Introduction/Section
For a linear mapping
on a -vector space, we can consider the iterations , that is, the -fold composition of with itself. Moreover, we can add linear mappings and multiply them with scalars from the field. Therefore, expressions of the form
are linear mappings from to . Here, we have to interpret
At first glance, it is not clear why studying such polynomial expressions in help in understanding . The expression described can be understood in the sense that in the polynomial , we substitute the variable by the linear mapping . This assignment fulfills the following structural properties.
Let be a field, a -vector space, and
a linear mapping. Then the mapping
- For a constant polynomial
,
we have
In particular, the zero polynomial is sent to the zero mapping and the constant -polynomial is sent to the identity.
- We have
for all polynomials .
- We have
for all polynomials .
- We have
for all .
(1) and (4) are inherent in the definition of the substitution homomorphism. From this, also (2) and (3) follows.
If is finite-dimensional, say of dimension , then all powers
, ,
are elements in the -dimensional vector space
of all linear mappings from to . Because the space of homomorphisms has also finite dimension, these powers must be linearly dependent. That is, there exists some and coefficients , , not all , such that
holds (here, is immediately clear, we will see later that even holds). The corresponding polynomial has the property that it is not the zero polynomial, and that, after replacing everywhere by , the zero mapping on arises. We ask the following questions:
- Does there exist some structure on the set of all polynomials
- Does there exist an especially simple polynomial
- How can we find it?
- Which properties of can we deduce from the factor decomposition of this polynomial ?
Let be a field, a finite-dimensional -vector space and
a linear mapping. Let be a basis of , and let denote the corresponding matrix. Due to fact, we have a correspondence between compositions of linear mappings and matrix multiplication. In particular, corresponds with . In the same way, the scalar multiplication and the addition on the space of endomorphisms and on the space of matrices correspond to each other. Therefore, instead of the assignment , we can also work with the assignment .