- Exercises
Compute the
cross product
-
in
.
Compute the
cross product
-
in
.
Compute the
cross product
-
in
, where
denotes the field with five elements.
Compute the
cross product
-
in
, where
is the field with seven elements.
Let
be a
field. Show that the
cross product
on
is
bilinear
and
alternating.
Show that the
cross product
for vectors
fulfills the relation
-

Let
be an
orthonormal basis
of
. Show that
holds.
Show that, over an arbitrary field
, for
linearly independent
vectors
and
,
the family consisting of
, and the
cross product
does not necessarily form a
basis
of
.
Determine the
isometries
on
.
What kind of
isometries
on
do you know from school?
Let
denote
-vector spaces,
both endowed with an
inner product,
and let
be an
isometry.
Show that
is
injective.
Let
be
-vector spaces,
each endowed with an
inner product.
Show the following statements.
a) The
identity
is an
isometry.
b) If
is a
bijective
isometry, then the
inverse mapping
is also an isometry.
c) If
and
are isometries, then the
composition
is also an isometry.
Determine the
isometries
on
.
Let
be a
-vector space,
endowed with an
inner product.
Let
-
be an
isometry,
and let
be a
-invariant linear subspace.
Show that
-
is also an isometry.
Let
be a
Euclidean vector space
of
dimension
. Show that a family of vectors
is an
orthonormal basis
of
if and only if the corresponding
linear mapping
-
is an
isometry
between
and
.
Let
and
be
Euclidean vector spaces,
and let
-
denote a
linear mapping.
Show that the following statements are equivalent.
is an
isometry.
- For every
orthonormal basis
,
,
of
,
,
,
is part of an orthonormal basis of
.
- There exists an
orthonormal basis
,
,
of
such that
,
,
is part of an orthonormal basis of
.
Give an example of a
bijective
linear mapping
-
with the property that, on one hand, there exists an
orthogonal basis
of
that is mapped under
to an orthogonal basis, and, on the other hand, there exists an orthogonal basis that is not mapped to an orthogonal basis.
Let
be a
Euclidean vector space.
Let
-
denote a
linear mapping
with the property that the
determinant
of
equals
or
.
Moreover,
satisfies the property that
orthogonal
vectors are mapped to orthogonal vectors. Show that
is an
isometry.
Give an example of a
bijective
linear mapping
-
that is not an
isometry
but fulfills for all
the relation
-
Give an example of a
linear mapping
-
such that
is
area-preserving
but not an
isometry.
Give an example of a
linear mapping
-
that is not an
isometry
and such that its
order
is
.
Let
be a
field, and
.
Show that the set
of
invertible matrices
is a
group.
Moreover, show that this group is, for
,
not
commutative.
Let
be a
Euclidean vector space,
and let
-
denote a
linear mapping.
Show that the following statements are equivalent.
is an
isometry.
- For every vector
with
,
we also have
.
- For every
orthonormal basis
, also
, is an orthonormal basis.
- There exists an orthonormal basis
, such that also
,
is an orthonormal basis.
- Hand-in-exercises
Compute the
cross product
-
in
, where
denotes the field with seven elements.
Let
be a
Euclidean vector space.
Show that the set of all
isometries
on
forms a
group
under the composition of mappings.
Let
-
be a
proper isometry.
Suppose that
is
trigonalizable.
Show that
is already
diagonalizable.
Let
denote complex vector spaces, each endowed with an
inner product,
and let
-
denote a
linear mapping.
Show that
is an
isometry
with respect to the given complex inner products if and only if
is an isometry with respect to the corresponding real inner products.