Taken from C*-algebras and Operator Theory by Gerald Murphy.
If and
are vector spaces, we denote by
their algebraic tensor product. This is linearly spanned by the elements
(
,
).
One reason why tensor products are useful is that they turn bilinear maps (a bilinear map has
) into linear maps (
). More precisely, if
is a bilinear map, where
and
are vector spaces, then there is a unique linear map
such that
for all
and
.
If are linear functionals on the vector spaces
respectively, then there is a unique linear functional
on
such that
since the function
,
,
is bilinear.
Suppose that the finite sum , where
and
. If
are linearly independent, then
. For, in this case, there exist linear functionals
such that
. If
is linear, we have
.
Thus for arbitrary
and this shows that all the
.
Similarly if the finite sum with the
linearly independent, implies that all the
are zero.
If and
are linear maps between vector spaces, then by elementary linear algebra, there exists a unique linear map
such that for all
and
. The map
is bilinear.
If and
are normed, then there are in general many possible norms of
which are related in a suitable manner to the norms on
and
, and indeed it is this very lack of uniqueness that creates the difficulties of the theory, as we shall see in the case that
and
are C*-algebras.
When the spaces are Hilbert spaces, however, matters are simple.
Theorem 6.3.1
Let and
be Hilbert spaces. Then there is a unique inner product
on
such that
Proof
If are conjugate-linear maps from
and
, respectively, to
, then there is a unique conjugate-linear map
from
to
such that
.
(Observe that and
are linear, and set
.)
If is an element of a Hilbert space, let
be the conjugate-linear functional defined by setting
.
Let be the vector space of all conjugate-linear functionals on
. The map
,
,
is bilinear (), so there is a unique linear map
such that
.
The map
,
,
is a sesquilinear form on such that
That it is the unique such sesquilinear form is clear ().
If , then
(finite sum always). Let
be an orthonormal basis for
. Then
for some
(
) and therefore,
.
Thus is positive and if
, then the
and
. Therefore
is an inner product
If and
are as in Theorem 6.3.1, we shall always regard
as a pre-Hilbert space with the above inner product. The Hilbert space completion of
is denoted by
, and called the Hilbert space tensor product of
and
. Note that (
)
It is an elementary exercise to show that if and
are orthonormal bases for
and
, respectively, then
is an orthonormal basis for
(
).
If are closed vector subspaces of
, respectively, then the inclusion map
is isometric when
has its canonical inner product. It follows that we may regard
as a closed vector subspace
.
Lemma 6.3.2
Let be Hilbert spaces and suppose that
and
. Then there is a unique
such that
.
Moreover, .
Proof
The map is bilinear, so to show that
is bounded, we may assume that
and
are unitaries, since the unitaries span the C*-algebras
and
. If
, then we may write
where the
are orthogonal. Hence
.
Consequently, .
Thus, for all operators on
, respectively, the linear map
is bounded on
and hence has an (isometric) extension to a bounded linear map
on
.
It is easily verified that the maps
,
,
and
,
,
are injective -homomorphisms and therefore isometric (
). Hence,
and
, so
.
If is a sufficiently small positive number, and if
, then there are unit vectors
such that
and
.
Hence,
,
,
so . Letting
, we get
Remark
Let and
be Hilbert spaces and suppose that
and
. It is routine to show that
and
.
(I’m happy with the second and the first is done below I think.)
If are operators on
and
are linearly independent operators on
such that (the finite sum)
, then all of the
are zero. For if
, choose orthonormal vectors
such that
.
Then there are scalars (which aren’t chosen uniquely — this representation is not unique.) such that
for any of the
. If
, we have
,
so . This shows that
, and therefore, by linear dependence of the
, we get that the
for all
. It follows that
so all of the
are zero.
If and
are algebras, there is a unique multiplication on
such that
.
for all and
: Let
denote left multiplication by
and let
be the vector space of all linear maps on
. If
and
, then
, and the map
,
,
is bilinear. Hence, there is a unique map such that
for all
and
. The bilinear map
,
,
is readily seen to be the required unique multiplication on . We call
endowed with this multiplication the algebra tensor product of the algebras
and
.
If and
are *-algebras, then there is a unique involution on
such that
for all
and
. The existence of such an involution is easily seen if we show that
.
If are *-algebras, then we want to make
into a *-algebra. We want to define
by
.
If then
for some reindexing, then if
, then we get that
which implies that
.
Suppose, therefore that , and assume without loss of generality that the
are linearly independent. Now if
, this implies that
which means that
as required.
We call with the above involution the *-algebra tensor product of
and
.
If are *-subalgebras of
, respectively, we may clearly regard
as a *-subalgebra of
.
Remark 6.3.2
Let and
be *-homomorphisms from *-algebras
and
into a *-algebra
such that every element of
commutes with every element of
. Then there is a unique *-homomorphism
such that
.
This follows from the observation that the map
,
,
is bilinear and so induces a linear map , which is easily seen to have the required properties (The commutativity is needed to show that
).
If are *-algebras and
and
are *-homomorphisms, then
is a *-homomorphism. The proof is a routine exercise (
).
We shall use the next result to show that there is at least one C*-norm on if
and
are C*-algebras.
Theorem 6.3.3
Suppose that and
are representations of the C*-algebras
and
respectively. Then there exists a unique *-homomorphism
such that
.
Moreover, if and
are injective, so is
.
Proof
The maps
,
,
and
,
,
are *-homomorphisms, and the elements of commute with the elements of
(
). Hence, by the previous remark, there is a unique *-homomorphism
such that
.
Now suppose that the representations and
are faithful (that is
and
are injective), and let
. We can write
in the (finite sum) form
, where the
are linearly independent. Then the
are linearly independent, because
is injective and
(
). Hence, all the
are zero. Since
is injective, all the
are zero also, so
. Thus
Let and
be C*-algebras with universal representations
and
respectively. By Theorem 6.3.3 there is a unique injective *-homomorphism
such that
for all
and
. Hence the function
,
,
is a C*-norm on , called the spatial C*-norm. Note that
(
is an injective *-homomorphism given by
. Now
,
since are injective C*-isomorphisms.).
We call the C*-completion of with respect to
the spatial tensor product of
and
, and denote it by
.
In general, there may be more than one C*-norm on . If
is a C*-norm on
, we denote the C*-completion of
with respect to
with respect to
by
.
Lemma 6.3.4
Let be C*-algebras and let
be a C*-norm on
. Then for each
and
the maps
,
,
and
,
,
are continuous.
Proof
Since is a linear map between Banach spaces, we may invoke the closed graph theorem (the domain of
so we have the ‘converse’
). Thus, to show that
is continuous we need only to show that if a sequence
converges to
in
and the sequence
converges to
, then
(also continuity at
will imply continuity as
is linear). We may suppose that
and
are positive (by replacing
by
and
by
if necessary). Hence
(
). If
is a positive linear functional on
, then the linear functional
,
,
is positive, hence continuous. Consequently, , since
. Since
is an arbitrary positive linear functional on
,
. Therefore,
is continuous. Similarly,
is continuous
Theorem 6.3.5
Let be non-zero C*-algebras and suppose that
is a C*-norm on
. Let
be a non-degenerate representation (
,
:
— basically everything isn’t sent to zero) of
. Then there exist unique *-homomorphisms
and
such that
.
Moreover, the representations and
are non-degenerate.
Proof
Let . If
, it can be written in the form
.
Suppose we have two such expressions; that is, can also be written as
,
where ,
and
. If
is an approximate unit for
and
, then
,
so in the limit (using Lemma 6.3.4)
.
We can therefore well-define a map by setting
, if
is in the ‘
‘ form (
). Since
, it is clear that
is linear (
). By Lemma 6.3.4, there exists a positive number
(depending on
) such that
, so
. Hence,
is bounded. Since
is dense in
(because
is non-degenerate), we can therefore extend
uniquely to a bounded linear map on
, also denoted by
.
Suppose now that is an approximate unit for
. Reasoning as before, for all
, we have that
, if
is in that representation. We can therefore well-define a map
by setting
by
. The linear map
is bounded and extends uniquely to a bounded linear map on
, also denoted by
.
A routine verification shows that the maps
,
and
,
,
are *-homomorphisms (), and that
.
Now suppose that and
are another pair of *-homomorphisms such that
. Suppose that
is such that
. Then
fir all
and
, and therefore
for all
. By non-degeneracy of
, we have
. Thus,
is non-degenerate. Similarly,
is non-degenerate.
In particular, and
are degenerate.
If and
are approximate units as above, then the nets
and
converge strongly to
(by non-degeneracy of
and
). Hence,
converges strongly to both
and
for all
, hence
. Similarly,
converges strongly to both
and
for all
so
We denote the maps and
in the preceding theorem by
and
, respectively.
Corollary 6.3.6
Let and
be C*-algebras and let
be a C*-seminorm on
. Then
.
Proof
Let , so
is a C*-norm on
. Let
be the universal representation of
. This is faithful and non-degenerate, so Theorem 6.3.5 applies. If
and
, then
.
Hence
,
so
Let and
be C*-algebras. Denote by
the set of all C*-norms
on
. We define
for each
. If
, then for any
we have
by Corollary 6.3.6. Hence, .
It is readily verified that
,
,
is a C*-norm, called the maximal C*-norm (). We denote by
the C*-completion of
under this norm, and call
the maximal tensor product of
and
.
If is a C*-seminorm, then
. The maximal tensor product has a very useful universal property.
Theorem 6.3.7
Let and
be C*-algebras and suppose that
and
are *-homomorphisms such that every element of
commutes with every element of
. Then there is a unique *-homomorphism
such that
.
Proof
Uniqueness is clear (). By Remark 6.3.2 there is a *-homomorphism
satisfying the equation in the statement of the theorem. The function
,
,
is a C*-seminorm. Hence for all
. Therefore,
is a norm-decreasing *-homomorphism, and so extends to a norm-decreasing *-homomorphism on
We say that a C*-algebra is nuclear if, for each C*-algebra , there is only one C*-norm on
.
Remark
If a *-algebra admits a complete C*-norm
, then it is the only C*-norm on
. For if
is another C*-norm on
, and
denotes the C*-completion of
with respect to
, then the inclusion
is an injective *-homomorphism and therefore isometric, so
.
Example
For each , the C*-algebra
is nuclear. The reason is that for each C*-algebra
, the *-algebra
admits a complete C*-norm. This is seen by showing that the unique linear map
, such that
for
and
, is a *-isomorphism (all fine except
. I had calculated this directly but there is a slicker way
Fix and
. Now the linear maps
and
are linear maps
and
hence there exists a unique linear map
.).
We are going to show that all finite-dimensional C*-algebras are nuclear and for this we shall need to determine the structure theory for such algebras.
Theorem 6.3.8
If is a non-zero finite-dimensional C*-algebra, it is *-isomorphic to
.
Proof
If is simple, the result is immediate from Remark 6.2.1 (have glossed over this section). We prove the general result by induction on the dimension
of
. The case
is obvious. Suppose the result holds for all dimensions less than
. We may suppose that
is not simple, and so contains a non-zero proper closed ideal
, and we may take
to be of minimum dimension. In this case,
has no non-trivial ideals, so
is *-isomorphic to
for some
. Hence,
has a unit
, so
and
commutes with all the elements of
(
). Also
is a C*-subalgebra of
(
) and the map
,
,
is a *-isomorphism. Since the algebra has dimension less than
,it is *-isomorphic to
. Hence, by the Axiom of Induction,
is *-isomorphic to
Theorem 6.3.9
A finite-dimensional C*-algebra is nuclear.
Proof
Let be a finite-dimensional C*-algebra, which we may suppose to be the direct sum
. Let
be an arbitrary C*-algebra. A routine verification shows that the unique linear map
,
such that
for all and
, is a *-isomorphism. Hence,
admits a complete C*-norm (
), so it admits only one C*-norm. This shows that
is nuclear
The next result suggests that nuclear algebras exist in abundance.
Theorem 6.3.10
Let be a non-empty set of C*-subalgebras of a C*-algebra
which is upwards directed (if
, then there exists a
such that
). Suppose that
is dense in
and that all the algebras are nuclear. Then
is nuclear.
Proof
Let be an arbitrary C*-algebra and suppose
are C*-norms on
. Set
(we may regard
as a *-subalgebra of
for each
). Then
is a *-subalgebra of
and it is clear that
is dense in the C*-algebras
and
. Now
on
for each
, by nuclearity of
, so
on
, and therefore the identity map on
extends to a *-isomorphism
. If
and
, then there exists a sequence
in
such that
in
, so
in
and in
, and therefore
,
where convergence is with respect to . Therefore,
. Hence for any
, we have
, so
on
. Therefore, the algebra
is nuclear
Example
If is a Hilbert space,
is a nuclear C*-algebra. To see this, suppose that
are orthonormal vectors in
. If
, then
is a projection,
, and the map
,
\lambda|e_i\rangle\langle e_j|$,
is a *-isomorphism. We show surjectivity only: If , then
.
Since is finite-dimensional, it is nuclear (by Theorem 6.3.9).
If is an orthonormal basis for
, let
be the set of all finite non-empty subsets of
made into an upwards-directed poset by setting
if
. For
, let
and
. Each
us therefore a nuclear C*-algebra, and the set
is upwards-directed.
If is a finite-rank operator on
, we can write
for some
. Therefore,
,
so , since
for
. From this it follows by norm-density of the finite-rank operations in
that
for all
. Therefore
. Hence,
is dense in
. By Theorem 6.3.10,
is a nuclear
.
An AF-algebra is a C*-algebra that contains an increasing sequence of finite-dimensional C*-subalgebras such that
is dense in
.
Corollary 6.3.11
All AF-algebras are nuclear.
Appendix: Non-negative Definite Kernels
Suppose that is a set. We say that
is a non-negative kernel if for all
,
and
, we have that
.
Let . Define
,
which is defined because of finite support. Then ,
is linear and
.
is a semi-inner product, so the Cauchy-Schwarz Inequality holds. Define
. Now
is a subspace by Cauchy-Schwarz, and now set
.
This defines an inner product on . Now complete to get a Hilbert space
, together with a map
,
. Now
since
is a basis of
, with
.
Moreover, if is any Hilbert space and
a map such that
m then consider the map
. Since
,
there exists a unique isometry such that
. In particular, if
, then
is unitary.
Now let , and define
.
is a non-negative definite kernel. Let
and then
where is the Schur product. Moreover,
.
In other words, and
— and the Schur product of positive matrices is positive (Theorem 12).
There exists a Hilbert space and a map
such that if
, then
,
and also .
Pick unitaries ,
. Define
by
.
Then
.
Also , so total. Thus, by ‘uniqueness’ of
, there exists a unique unitary on
mapping
— call this
.
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September 15, 2011 at 4:32 pm
Random Walks on Finite Quantum Groups: Random Walks on Comodule Algebras « J.P. McCarthy: Math Page
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