- Exercise for the break
Let be an
invertible
-matrix.
Show
-
- Exercises
Let be an
-matrix,
and be an -matrix, where the columns of are
linearly dependent.
Show that the columns of are also linearly dependent.
Check the multiplication theorem for determinants of the following matrices
-
Confirm
the multiplication theorem for determinants
for the matrices
-
The next exercises use the following definition.
Let be a
vector space
over a
field
. For
,
the
linear mapping
-
is called homothety
(or dilation)
with
scaling factor .
What is the determinant of a
homothety?
Check the multiplication theorem for determinants of two homotheties on a finite-dimensional vector space.
The following exercises use the concept of a group homomorphism.
Let
and
denote
groups.
A
mapping
-
is called group homomorphism, if the equality
-
holds for all
.
Let be a
field, and
.
Show that the
determinant
-
is a
surjective
group homomorphism.
Let be a
field, and let
with
.
Define an
injective
group homomorphism
-
We consider the matrix
-
Show that this matrix defines a
group homomorphism
from to , and from
to
as well. Study this group homomorphism with respect to
injectivity
and
surjectivity.
Let be an
-matrix
with entries in , and let
-
denote the corresponding
group homomorphism.
Show that is
bijective
if and only if the
determinant
of equals or equals .
Prove that you can expand the determinant according to each row and each column.
Compute the determinant of the matrix
-
by expanding the matrix along every column and along every row.
Let be a
finite-dimensional
-vector space,
and let
denote
linear mappings.
Show
.
Solve the
linear system
-
with
Cramer's rule.
We consider the matrix
-
Solve the linear system
using
Cramer's rule
(check first that we may apply this rule).
- Hand-in-exercises
The Sarrusminant of a
-matrix
is computed by repeating the first columns of the matrix in the same order behind the matrix, and then by adding up the products of the diagonals and subtracting the products of the antidiagonals. We restrict to the case
.
That is, for a matrix
-
we consider
-
and the Sarrusminant is
-
- Show that the mapping
-
is
multilinear
(in the rows of the matrix).
- Show that, for -matrices that contain a zero-row, the Sarrusminant is .
- Show that, for -matrices that contain a zero-column, the Sarrusminant is .
- Show that, for an upper triangular matrix, the Sarrusminant is the product of the diagonal elements.
- Show that the Sarrusminant is not
alternating.
- Give an example for an
invertible matrix,
where the Sarrusminant equals .
- Give an example for a not-invertible matrix, where the Sarrusminant equals .
Check the multiplication theorem for the
determinants
of the following matrices
-
Solve the
linear system
(over )
-
using
Cramer's rule.
Let be a
finite-dimensional
vector space
over the
complex numbers
, and let
-
be a
-linear mapping.
We consider also as a real vector space of double dimension. is also a real-linear mapping, which we denote by . Show that between the complex determinant and the real determinant, the relation
-
holds.