Linear algebra (Osnabrück 2024-2025)/Part I/Exercise sheet 28
- Exercise for the break
We consider the matrix
and the three decompositions
and
Which one is (or are) the canonical additive decomposition in the sense of Theorem 28.1 (and with respect to which basis)?
- Exercises
Let
Show that commutes with all -matrices if and only if all its diagonal entries coincide.
Describe the direct sum decomposition of the with respect to the generalized eigenspaces in the proof of Theorem 28.1 .
Suppose that a linear mapping
is given by the matrix
with respect to the standard basis. Find a basis, such that is described by the matrix
with respect to this basis.
Suppose that the linear mapping
is given by the matrix
with respect to the standard basis. Find a basis such that is described by the matrix
with respect to the new basis.
Determine, for the real matrix
its Jordan normal form (we do not ask for a basis).
Let be a nilpotent -Jordan matrix. Show, that the kernels form a flag in .
Let be an -Jordan matrix to the eigenvalue . Determine the minimal polynomial of .
Let be an -matrix with Jordan blocks , and suppose that all diagonal entries are . Determine the minimal polynomial of .
Let be a matrix in Jordan normal form, where only one eigenvalue occurs. Show that the number of the Jordan blocks in equals the dimension of the eigenspace.
Show that the product of two matrices in Jordan normal form is, in general, not in Jordan normal form.
Let be an -matrix in Jordan normal form, and let denote the corresponding diagonal matrix. Show that the canonical additive decomposition in the sense of Theorem 28.1 is
Let be a trigonalizable linear mapping, together with its canonical additive decomposition
in the sense of Theorem 28.1 . Show that the eigenvalues of and of coincide. Does this also hold for their algebraic multiplicity? Does this also hold for their geometric multiplicity?
Let
with . Show by induction that
holds.
The matrix
describes a quarter-turn in the real plane. Diagonalize this matrix over the complex numbers.
Let be a linear mapping on a finite-dimensional -vector space . Show that has finite order if and only if the minimal polynomial of is a divisor of for some .
Let be a linear mapping on a finite-dimensional -vector space , and suppose that has finite order. Show that the characteristic polynomial of divides a polynomial of the form . Show also that the characteristic polynomial does not, in general, divide a polynomial of the form .
Let be a linear mapping on a finite-dimensional -vector space , and suppose that has finite order. Show that the characteristic polynomial of divides a polynomial of the form .
We say that a field has positive characteristic, if there exists a positive natural number
such that the equation
holds. The fields do not have this property, we say that there characteristic is . Finite fields have positive characteristic, their characteristic is always a
prime number.
Let be a field of positive characteristic . Show that the matrix
has finite order .
- Hand-in-exercises
Exercise (3 marks)
We consider the linear mapping
that is described, with respect to the standard basis, by the matrix
Find a basis such that is described, with respect to this basis, by the matrix
Exercise (4 marks)
Determine a basis such that linear mapping given by
is in Jordan normal form with respect to this basis.
Exercise (2 marks)
Let be a Jordan matrix to the eigenvalue . Show that the eigenspace of to the eigenvalue is one-dimensional, and that there exist no further eigenvectors.
Exercise (4 marks)
Let
be an endomorphism that is described, with respect to a suitable basis, by a -Jordan matrix. Show that there does not exist a direct sum decomposition
into -invariant linear subspaces .
Exercise (8 (4+2+2) marks)
Let , and let a field of characteristic be fixed. For a nilpotent -matrix , let be defined by
a) Show that for commuting nilpotent matrices , the equality
holds.
b) Show that for a nilpotent matrix , the matrix is
invertible.
c) Show that for a nilpotent matrix , the matrix is
unipotent.
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