- Exercises
We first recall the following five exercises, the tensor product sheds new light on them.
Let
be a
field,
and
an index set. Show that
-

with pointwise addition and scalar multiplication, is a
-vector space.
Let
be a
field,
let
denote an index set, and let
be the corresponding
vector space.
a) Show that
-

is a
linear subspace
of
.
b) For every
,
let
be defined by
-

Show that every element
can be expressed uniquely as a
linear combination
of the family
,
.
Let
be a
field,
and let
and
be sets. Show that a
mapping
-
defines a
linear mapping
-
Let
be a
field,
and let
and
denote sets. Let
-
be a
mapping.
a) Show that, by
, a
linear mapping
-
is determined.
b) Suppose now that
has also the property that all its
fibers
are finite. Show that this defines a linear mapping
-
Let
be a
field,
and let
and
denote finite index sets. Show that the mapping
-
given by
-

is
multilinear.
Show that, in general, in a
tensor product
, not every vector is of the form
.
In the following exercises, the word compute means to express the tensor product as a linear combination of the tensor products of the standard vectors.
Compute in
the
tensor product
-
Compute in
the
tensor product
-
Compute in
the
tensor product
-
Compute in
the
tensor product
-
Compute in
the
tensor product
-
Compute in
the
tensor product
-
Compute in
the
tensor product
-
Let
be a
field,
and let
denote a
-vector space, together with the
dual space
. Show that there exists a
linear form
-
that sends
to
.
Let
be a
field,
and let
and
denote a
-vector space. Let
be the
dual space
of
. Show the following statements.
a) There exists a
multilinear mapping
-
b) There exists a
linear mapping
-
that sends
to the linear mapping
.
c) If
and
are
finite-dimensional,
then
from part (b) is an
isomorphism.
Let
be a
field, and let
denote
vector spaces
over
, each endowed with a fixed
bilinear form
. Show that on the
tensor product
, there exists a bilinear form
that satisfies
-

Suppose that the
is endowed with the
Minkowski standard form.
Determine the corresponding linear form on
.
- Hand-in-exercises
Compute in
the
tensor product
-
Compute in
the
tensor product
-
Let
be a
finite-dimensional
-vector space,
and let
denote a
bilinear form
on
. Suppose that this form is described with respect to the
basis
of
by the
Gram matrix
-

Determine the corresponding
linear form
on
with respect to the corresponding basis.
Let
be a
field, and let
denote
vector spaces
over
. Establish a
linear mapping
-
that sends
to
.