We previously defined noncommutative probability spaces as a *-algebra together with a nondegenerate state satisfying a completeness property. Justification for the stated definition was twofold. First, an argument similar to the construction of measurable random variables on classical probability spaces was used, by taking all possible limits for which an expectation can reasonably be defined. Second, I stated various natural mathematical properties of this construction, including the existence of completions and their functorial property, which allows us to pass from preprobability spaces, and homomorphisms between these, to the NC probability spaces which they generate. However, the statements were given without proof, so the purpose of the current post is to establish these results. Specifically, I will give proofs of each of the theorems stated in the post on noncommutative probability spaces, with the exception of the two theorems relating commutative *-probability spaces to their classical counterpart (theorems 2 and 10), which will be looked at in a later post.
Recall that a state on a *-algebra was defined as a positive linear map satisfying a normalisation condition. This can be expressed as
for unitial algebras or, more generally, as
using the following norm,
(1) |
We actually described three kinds of spaces. First, *-probability spaces, or preprobability spaces, which are nothing more than a pair consisting of a state
on *-algebra
. Next, W*-probability spaces are intended as a generalisation of classical probability spaces, and require the algebra to satisfy a weak completeness property. Finally, C*-algebras lie somewhere between the two definitions, requiring the weaker norm-completeness property. The idea is that if we start with a *-algebra, then this can be completed to give either a C* or a W*-probability space in an essentially unique way.
The method used to construct NC probability spaces here will be as algebras of operators on a Hilbert space together with a pure state. The *-algebra of bounded linear operators on a Hilbert space will be denoted by
, and a *-subalgebra of
will be referred to as a *-algebra on
. An element
will be called cyclic for the *-algebra
if
is a dense subspace of
. The operator norm of
will be denoted as
, and the
and
seminorms with respect to a state
are denoted by
and
respectively.
Lemma 1 Let
be a *-algebra on Hilbert space
and
have norm 1 and be cyclic for
. Then,
(2) is a nondegenerate state. Furthermore, the
norm on
coincides with the operator norm and the
norm is given by
.
Proof: Linearity of is immediate. For
,
This shows that is positive and that the
-norm is
Also, if then,
shows that . Next, as
is cyclic, there exists
such that
. In particular,
so, dividing by
if necessary, we suppose without loss of generality that
. Then,
shows that , so that
is a state.
Now, for ,
shows that . For the opposite inequality, for any
, the fact that
is cyclic means that there exists
with
. Then,
and, hence, as required.
Finally if satisfies
then
and, hence,
, showing that
is nondegenerate. ⬜
C*-completions
Each of the results in the post on noncommutative probability spaces was stated firstly for W*-probability spaces and, then, a C* version was also given. Here, I do the same, and give separate proofs for the results corresponding to W* and to C* spaces. I start by looking at C*-probability spaces, as this is simpler. The proofs of the W* versions of the results will be provided after that and will follow along very similar lines, but with some additional complications.
C*-probability spaces can be constructed by taking a pure state on the operator norm closure of a *-algebra on a Hilbert space.
Lemma 2 Let
be a *-algebra on Hilbert space
. Then, its operator norm closure
is a *-algebra. Furthermore, if
has norm 1 and is cyclic for
, then
is a C*-probability space, where
(3)
Proof: That is a *-algebra follows from the fact that the *-algebra operations are norm-continuous. Explicitly, elements
can be expressed as norm-limits of sequences
. Then,
and
are, respectively, limits of the sequences
and
, so are in
. Similarly, for
,
is the limit of
, so is in
which, therefore, is a *-algebra.
Lemma 1 says that is a bounded nondegenerate *-probability space, so it only remains to show that
is
-complete. By construction, it is a closed subspace of the complete space
, so is complete under the operator norm. By lemma 1, this coincides with the
norm. ⬜
Recall that the C*-completion of a bounded *-probability space consists of a C*-probability space
together with a (state preserving) homomorphism
with
-dense image. C*-completions can be constructed with the aid of the GNS representation
which, by definition, is a Hilbert space
together with a *-homomorphism
and an element
which is cyclic for
and satisfies
.
Lemma 3 Suppose that
is a bounded *-probability space with GNS representation
. Let
be the operator norm closure of
and define the state
by (3).
Then,is a C*-probability space and
defines a homomorphism from
to
which, furthermore, is a C*-completion.
Proof: Lemma (2) says that is a C*-probability space. Furthermore
is, by definition, a *-homomorphism from
to
. To show that it also defines a homomorphism of *-probability spaces, we just need to show that it is state preserving. However, by the definition of the GNS representation,
as required. Finally, lemma 1 says that the norm coincides with the operator norm on
with respect to which
is dense, by construction. So,
defines a C*-completion. ⬜
A homomorphism between *-probability spaces
and
gives an isomorphism on the underlying *-algebras if and only if it is one-to-one and onto. A sufficient condition to be one-to-one is that
is nondegenerate and, for C* spaces, a sufficient condition to be onto is that
is dense. So, a homomorphism between C*-probability spaces with dense image is necessarily an isomorphism.
Lemma 4 A homomorphism
of C*-probability spaces is an isomorphism if and only if
is
-dense in
.
Proof: First, if is an isomorphism then
is certainly dense. Conversely, suppose that
is dense. The
-seminorms on C*-algebras are complete norms and, by lemma 5 of the post on homomorphisms of *-probability spaces,
is an
isometry. Hence,
is one-to-one and
is a complete and dense subset of
, so
as required. ⬜
We now prove theorem 14 of the post on NC probability spaces, stating the functorial property of C*-completions. We first note, by lemma 4 of the post on homomorphisms of *-probability spaces, that C*-completions are always isometries.
Theorem 5 Let
be an
-continuous homomorphism between bounded *-probability spaces
and
. Let
be C*-completions. Then, there is a unique homomorphism
such that
. Furthermore,
is an isomorphism iff
is
-dense in
.
Proof: Lemma 5 of the post on homomorphisms of *-probability spaces states that any homomorphism of *-probability spaces where the domain is a C*-probability space is automatically -isometric. In particular, by uniqueness of continuous extensions,
is uniquely defined by its restriction to
on which it is uniquely defined by
. Hence,
is unique.
We still need to show existence of satisfying the requirements of the theorem. As
are all
-isometries, for
,
(4) |
In particular, if then
and, by nondegeneracy of
,
. So, we can define a *-homomorphism
by
(5) |
As are state-preserving, the same is true of
and, by (4), is an
-isomtery. As
is
-complete, by continuous linear extensions
uniquely extends to a continuous linear map
. By
-continuity of the *-algebra operations and of the state, it follows that
is a *-homomorphism preserving the state as required.
Finally, and
are
-isometries with dense image, so that
has dense image if and only if
has dense image which, by lemma 4, is equivalent to
being an isomorphism. ⬜
Theorem 13 of the NC probability post, stating the existence and uniqueness of C*-completions, follows easily.
Theorem 6 Let
be a bounded *-probability space. Then, it has a C*-completion, which is unique up to isomorphism. That is, for any two C*-completions
there exists a unique isomorphism
such that
.
Proof: Lemma 3 gives existence of the C*-completion, so only uniqueness remains. Let be as in the statement of the theorem, and
be the identity automorphism on
. Theorem 5 states the existence of a unique isomorphism
from
to
satisfying
as required. ⬜
Theorem 15 of the NC probability post relating the C*-completion to the GNS construction also follows quickly.
Theorem 7 Let
be a bounded *-probability space, and
be its GNS representation. Let
be the operator norm closure of
and define
by
Then,
is a C*-probability space.
is the C*-completion of
.
is a C*-probability space if and only if
is an isomorphism between
and
.
Proof: The first two statements are already shown in lemma 3 above. Also, if is an isomorphism from
to
then
is isomorphic to
, so is a C*-probability space. It only remains to show that, if
is a C*-probability space then
is an isomorphism. However,
is
-dense in
by definition of the C*-completion, so
is an isomorphism by lemma 4. ⬜
It remains to establish theorems 11 and 12 of the NC probability post, which relate C*-probability spaces to states on C*-algebras. When we have a state specified on a C*-algebra, then there are two (semi)norms that can be applied. Firstly, there is the C*-algebra norm and, secondly, there is the seminorm defined by the state. It can be shown that, when the state is nondegenerate, they are the same and, more generally, the C*-algebra norm will be the stronger of the two. Using
to denote the C*-algebra norm, this means that
.
Lemma 8 Let
be a positive functional on C*-algebra
. Then, the
seminorm is weaker than the C*-norm and, if
is nondegenerate, the
and C*-norms coincide.
Proof: If then,
for some self-adjoint
(see lemma 5 of the *-algebra post). Multiplying on the right by
and on the left by
, and applying
,
for all , giving
.
Now suppose that is nondegenerate, so that the
-seminorm is positive definite. As we have shown that
, it follows that
is finite. Hence, we can let
be its
-completion, which is a C*-algebra. Then, the natural embedding
is a one-to-one *-homomorphism, so is an isometry (see, eg, Blackadar II.2.2.9) under the respective C*-norms. That is,
as required. ⬜
The previous result can be applied to prove theorem 11 of the NC probability post.
Theorem 9 The pair
is a C*-probability space if and only if
is a C*-algebra and
is a nondegenerate state.
Proof: First, suppose that is a C*-probability space. As the
-seminorm satisfies the C*-properties and, by definition, is a complete norm, then
is a C*-algebra. Conversely, suppose that
is a C*-algebra and
is a nondegenerate state. Lemma 8 says that the
and C*-norms coincide, so
is
-complete. ⬜
Similarly, theorem 12 of the NC probability post can now be established, that even degenerate states on C*-algebras give rise to C*-probability spaces, so long as we quotient out by the *-ideal . The state
on the quotient algebra
is that given by the state
under the quotient map
.
Theorem 10 Let
be a C*-algebra and
be a state. Then,
is a C*-probability space.
Proof: As is, by definition,
-closed and lemma 8 says that the C*-norm is stronger than
, we see that
is closed under the C*-norm. It is then standard (Blackadar II.5.1.1) that
is a C*-algebra with respect to the norm
Furthermore, as is a nondegenerate state on
(lemma 13 of the post on states), theorem 9 says that
is a C*-probability space. ⬜
Finally, I show a basic result which is especially important for the definition of states used in these notes. For a *-algebra , a state
is required to satisfy the positivity condition
together with a normalisation criterion to ensure that the `total probability’ of the space is one. In the case where
is unitial then the normalisation is simply
. For C*-algebra
with norm
, the operator norm of the linear functional
is defined by
(6) |
For nonunitial C*-algebras, the normalisation condition is commonly used in the definition of states and, for unitial C*-algebras, it is standard that positive linear functionals satisfy
and, so, the normalisation condition given in terms of the operator norm is consistent with the condition for unitial algebras. In these notes, however, I did not want to assume that the algebra is unitial. Nor did I want to restrict up-front to C*-algebras. So, instead, I made use of of the norm (1) and applied the normalisation condition
. For unitial C*-algebras,
, and all three normalisation conditions are equivalent. To be sure that we are being consistent with the standard definition of states on nonunitial C*-algebras, we should show that the norms (1) and (6) coincide. This is a rather subtle point, and was not explicitly stated stated previously in these notes, so I give a proof here. The statement
is known as Kadison’s inequality (Blackadar II.6.9.14).
Lemma 11 Let
be a C*-algebra and
be a positive linear map. Then,
.
Proof: We first show that . Choose
with
. Then, as
, there exists a self-adjoint
with
. Using
gives , from which we obtain,
Hence, , giving
As this holds for all , we obtain
.
We now show the reverse inequality, . Without loss of generality, suppose that
is finite. I make use of the standard fact that every C*-algebra has an approximate identity
(Blackadar II.4.1.3). That is
is a net of self-adjoint elements with
and
for all
. Applying Cauchy–Schwarz,
The second inequality here is using . Now, as
and
is bounded in the operator norm, we can take limits on the left hand side to obtain
and as required. ⬜
If and
W*-completions
Having established all of the required results for C*-probability spaces above, I now move on to W*-probability spaces. This very closely mirrors the C* case, and we will prove each of the W* versions on those results in the same order. However, there are additional complications here. Rather than just the norm, we now have to deal with the weak, strong, ultraweak and ultrastrong operator topologies, which can be used interchangeably in many situations. For this reason, we will require some additional helper lemmas, starting with the following.
A *-algebra on a Hilbert space
will be said to act nondegenerately if
for all
implies that
. Equivalently, the linear span of
is dense in
. We use
to denote the closures of
in the weak, strong, ultraweak and ultrastrong topologies respectively. The unit ball of
is denoted by
where denotes the operator norm. The unit ball of the closure of
below is denoted by
.
Lemma 12 Let
be a *-algebra on Hilbert space
. Then,
(7) Furthermore, if we let
denote the closure of
under the topologies above, then
is a *-algebra.
- if
acts nondegenerately on
, then
contains the identity operator, so is unitial.
Proof: Identities (7) are often stated as part of the bicommutant theorem (Blackadar I.9.1.2), although I will not make use of bicommutants here. Corollaries 16 and 20 of the post on normal maps say that and
. As the ultraweak topology is stronger than the weak,
We make use of the Kaplansky density theorem, so that
The equality here is because the strong and ultrastrong topologies coincide on the unit ball of . By scaling, this gives
, so (7) follows.
We now show that is a *-algebra. The fact that it is a linear subspace of
closed under involution follows from the fact that the linear combination
is jointly weakly continuous and the adjoint map
is weakly continuous. It remains to show that
is closed under products. Although the map
is not jointly continuous, it is weakly continuous individually in each of
and
. By continuity in
, for each fixed
,
for all
. Then, by continuity in
,
for all
.
Finally, suppose that acts nondegenerately. As
is a C*-algebra, it has an approximate identity
. This is a net with
for all
. Let
be the set of
such that
. As
is uniformly bounded,
is a closed linear subspace of
. Furthermore,
for all and
, so
. Hence, if
acts nondegenerately then
, so
strongly showing that
. ⬜
Recall that in the definition of a W*-probability space , we required the unit ball
to be weakly complete. Actually, there are various equivalent requirements which could alternatively have been used, such as strongly complete, or weakly compact. We list these in the lemma below. For the third statement, I use
for the Hilbert space completion, and
for the continuous linear extension of the action of
on
, so that
. This is a *-homomorphism, so that the image
is a *-subalgebra of
. In particular, when
is a *-algebra on a Hilbert space, then we can take
and
, so that the third statement below is equivalent to
being closed under any of the stated topologies. Where I list a sequence of words separated by a forwards slash `/’, this is intended to mean that the statement holds equivalently if either of these words are used. So, the lemma actually consists of ten equivalent statements. Recall that by a *-algebra representation, I am refering to a *-algebra
acting on semi-inner product space
in a manner consistent with the *-algebra operations so, in particular, includes the cases of a *-algebra on a Hilbert space and also bounded *-probability spaces considered as *-algebras acting on themselves by left multiplication.
Lemma 13 Let
be a bounded *-algebra representation. The following are equivalent.
is weakly/ultraweakly compact.
is weakly/strongly/ultraweakly/ultrastrongly complete.
is weakly/strongly/ultraweakly/ultrastrongly closed in
.
Proof: The first statement is equivalent under the weak and ultraweak topologies, since they coincide on the unit ball. Furthermore, as any compact subset of a vector space is automatically complete, this implies the second statement for the weak and ultraweak topologies.
Next, suppose that the second statement holds for the weak or, equivalently, the ultraweak topology. We show that it is strongly or, equivalently, ultrastrongly complete. Consider a strongly Cauchy net . As the weak topology is weaker than the strong, it is also weakly Cauchy and, by the assumption, has a weak limit
. Then, for
, weak convergence gives
and, so, strongly as required.
Now, supposing that is strongly complete, we prove the third statement. By (7) this is an equivalent statement under each of the mentioned topologies. Setting
then,
The first equality here is using the Kaplansky density theorem, and the second uses the fact that is an
isometry. So, to show that
is strongly closed, it is sufficient to show that
. Given
, choose a net
such that
strongly. Then,
and hence,
strongly. So, by assumption, there exists a strong limit
. Then,
shows that
as required.
Finally, assuming the third statement, we show that is ultraweakly compact. Theorem 21 of the post on normal maps expresses
as the dual of a Banach space
, with the weak-* topology corresponding to ultraweak convergence. Hence,
is ultraweakly compact by the Banach–Alaoglu theorem. Then, as the ultraweak topology on
given by its action on
is the same as that given by the action on
, this shows that
is ultraweakly compact. ⬜
Lemma 1 above showed that the norm coincides with the operator norm for an algebra acting nondegenerately on a Hilbert space. We extend this to cover the remaining operator topologies.
Lemma 14 Assume the hypotheses of lemma 1. Then,
- the ultraweak and ultrastrong topologies on
defined with respect to the action on
coincide with the respective topologies defined with respect to
.
- the weak, strong, ultraweak and ultrastrong topologies on
defined with respect to the action on
coincide with the respective topologies defined with respect to
.
Proof: The weak and ultraweak topologies coincide on , as do the strong and ultrastrong, so the second statement follows from the first. To prove the first statement, let
be the semi-inner product space with set of elements equal to
and inner product
. By definition, the ultraweak and ultrastrong topologies defined by
are equal to the respective topologies given by the left-multiplication action of
on
. By lemma 1, the linear map
taking
to
is an isometry and, by assumption, has dense image in
. So,
is a Hilbert space completion. The result now follows from lemma 18 of the post on normal maps. ⬜
W*-probability spaces will be constructed by taking a pure state on the closure of a *-algebra on a Hilbert space, using a W* version of lemma 2.
Lemma 15 Let
be a *-algebra on Hilbert space
and
have norm 1 and be cyclic for
. Then,
is a W*-probability space, where
is the weak closure of
and
is defined by (3).
Proof: Lemma 12 says that is a *-algebra, and lemma 1 says that
is a nondegenerate state. As, by lemma 1, the
norm coincides with the operator norm, the unit ball
is the same whether defined with respect to
or the operator norm. By lemma 13,
is weakly complete under the weak topology on
and, by lemma 14, the weak topology coincides with the one defined by
. So,
is a W*-probability space. ⬜
Whereas the C*-completion was defined via an dense homomorphism, for W*-completions we require the image of the unit ball to be a weakly dense subset of the unit ball in the codomain. However, there are several equivalent conditions which could equally be used. As above, the forwards slash `/’ means that either of the words are equivalent, so the lemma below actually consists of ten equivalent statements.
Lemma 16 Let
be a homomorphism of bounded *-probability spaces. The following are equivalent,
is ultraweakly/ultrastrongly dense in
.
is weakly/strongly/ultraweakly/ultrastrongly dense in
.
is a weakly/strongly/ultraweakly/ultrastrongly dense subset of
.
In case that the above equivalent conditions hold, then
is normal.
Proof: Using , lemma 22 of the post on normal maps says that
(8) |
By scaling, a linear subspace is all of
if and only if
. Each of the the first two statements, using each of the stated topologies, are equivalent to the identical expressions in (8) being equal to
, so these are all equivalent statements. Next, suppose that the first statement holds. Then, by lemma 10 of the post on normal maps,
is normal. In particular, by lemma 2 of the same post,
is an
-isometry, so
(9) |
which, by the second statement, is a dense subset of under each of the operator topologies.
Finally, suppose that the third statement holds for any of the operator topologies mentioned. As ,
is
-bounded and, by lemma 2 of the post on homomorphisms, is an
-isometry. Hence, (9) holds, and the second statement follows. ⬜
Recall that the W*-completion of a bounded *-probability space is a homomorphism
to a W*-probability space, such that
is a weakly dense subset of
. Alternatively, any of the equivalent statements of lemma 16 can be used for
. We extend lemma 3 above to generate W*-completions.
Lemma 17 Suppose that
is a bounded *-probability space with GNS representation
. Let
be the weak closure of
and define the state
by (3).
Then,is a W*-probability space and
defines a homomorphism from
to
which, furthermore, is a W*-completion.
Proof: Lemma (15) says that is a W*-probability space. Furthermore
is, by definition, a state preserving *-homomorphism from
to
. Finally, lemma 14 says that the ultraweak topology on
defined by
coincides with the ultraweak topology defined by the action on
, with respect to which
is dense by lemma 12. So,
defines a W*-completion. ⬜
In lemma 4 above, we showed that a homomorphism of C*-probability spaces is an isomorphism if and only if it has -dense image. I now give a W* version of this, where any of the equivalent statements of lemma 16 can be used.
Lemma 18 A normal homomorphism
of W*-probability spaces is an isomorphism if and only if
is a weakly dense subset of
.
Proof: First, if is an isomorphism then
is certainly dense. Conversely, suppose that
is dense. As
is weakly continuous, and
is weakly complete, it follows that
is a complete and dense subset of
and, hence, is all of
. So, by scaling,
. Finally,
is one-to-one as
is nondegenerate (by lemma 1 of the homomorphism post, if
then
and, by nondegeneracy,
). ⬜
I now prove theorem 7 from the NC probability post, showing the functorial property of W*-completions. This mirrors the proof of theorem 5 above.
Theorem 19 Let
be a normal homomorphism between bounded *-probability spaces
and
. Let
be W*-completions. Then, there is a unique normal homomorphism
such that
. Furthermore,
is an isomorphism iff
is weakly dense in
.
Proof: As is ultraweakly continuous, it is uniquely determined by its values on the ultraweakly dense
(lemma 16). In turn, it is uniquely detemined on
by
. So,
is uniquely determined.
We need to show existence of . As
and
are isometries, (4) holds. So,
whenever
and, as in the proof of theorem 5, we can define the *-homomorphism
by (5), which will be al
-isometry.
As and
are normal, they are weakly continuous on
-bounded sets and, hence, so is
. For any
,
maps
into
, which is weakly complete. As
is weakly dense in
by assumption,
extends uniquely to a weakly continuous map from
into
. As
, this uniquely defines a map
satisfying , and which is weakly continuous on
. By weak continuity of the algebra operations, this is a normal *-homomorphism. Then, as
preserves the state, and the states
are ultraweakly continuous, it follows that
preserves the state and is a normal homomorphism of *-probability spaces.
Finally, we show that is an isomorphism if and only if
is weakly dense in
. If it is an isomorphism, then
and, as
is weakly dense in
, it follows that
is weakly dense in
. Hence,
is weakly dense in
.
Conversely, suppose that is weakly dense in
. Then,
is weakly dense in
and, hence, so is
. By lemma 18,
is an isomorphism. ⬜
Theorem 6 of the NC probability post, stating the existence and uniqueness of W*-completions, can now be proven quite easily. This follows along similar lines to theorem 6 above for the C*-probability case.
Theorem 20 Let
be a bounded *-probability space. Then, it has a W*-completion, which is unique up to isomorphism. That is, for any two W*-completions
there exists a unique isomorphism
such that
.
Proof: Lemma 17 gives existence of the W*-completion, so only uniqueness remains. Let be as in the statement of the theorem, and
be the identity automorphism on
. Theorem 19 states the existence of a unique normal isomorphism
from
to
satisfying
as required. Noting that an isomorphism of bounded *-probability spaces is necessarily normal, this is the unique isomorphism satisfying the required property. ⬜
Next, theorem 8 of the NC probability post follow quickly from the results above. This expresses W*-completions and W*-probability spaces in terms of the GNS representation, and mirrors the proof of the C* case, given in theorem 7 above.
Theorem 21 Let
be a bounded *-probability space, and
be its GNS representation. Let
be the weak closure of
and define
by
Then,
is a W*-probability space.
is the W*-completion of
.
is a W*-probability space if and only if
is an isomorphism between
and
.
Proof: The first two statements are already shown in lemma 17 above. Also, if is an isomorphism from
to
then
is isomorphic to
, so is a W*-probability space. It only remains to show that, if
is a W*-probability space then
is an isomorphism. However,
is ultraweakly dense in
by definition of the W*-completion, so
is an isomorphism by lemma 18. ⬜
We move on to establish theorems 3 and 4 of the NC probability post, which express W*-probability spaces in terms of normal states on von Neumann algebras. I start with a W* version of lemma 8. Recall that a von Neumann algebra on a Hilbert space is a weakly closed and unitial *-subalgebra of the bounded linear operators on the space. Hence, the operator topologies can be defined with respect to the action on this space. In addition, a state on the algebra, also defines operator topologies, so we need to relate these two sets of topologies. For a *-algebra acting on a semi-inner product space , I will use
-weak (
-strong, etc) to denote the weak (strong, etc) topology defined by this action. Similarly for a state
, I use
-weak (
-strong, etc) to denote the topologies defined by the state or, equivalently, by the action of the algebra on itself by left multiplication with the
semi-inner product.
Lemma 22 Let
be a von Neumann algebra on Hilbert space
and
be a normal state. Then, the
-ultraweak (resp.,
-ultrastrong) topology is weaker than the
-ultraweak (resp.,
-ultrastrong). If the state is nondegenerate, the ultraweak and ultrastrong topologies defined by
coincide with those defined by the action on
.
Proof: Let have the inner product
, and
acts on this by left-multiplication. Define the homomorphism of *-algebra representations
to be the identity on
. By assumption,
is normal, so is weakly continuous on the unit ball (defined by the operator norm of the action of
). Consider
and a net
tending weakly to zero (w.r.t. the action on
). Then,
is a norm-bounded net tending weakly to zero and, hence,
, showing that
is normal and, hence, is ultraweakly and ultrastrongly continuous. This implies that the ultraweak (resp., ultrastrong) topology defined w.r.t. the action on
is stronger than with the action on
.
Now suppose that is nondegenerate. By lemma 8,
is an isometry, so gives a continuous bijective map from
under the
-weak topology, which is compact by lemma 13, onto
under the
-weak topology, which is Hausdorff by nondegeneracy. Hence, it gives a homeomorphism of the unit ball, so
is normal and is ultraweakly and ultrastrongly continuous. This implies that the ultraweak (resp., ultrastrong) topology defined w.r.t. the action on
is stronger than w.r.t. the action on
. ⬜
We can now prove theorem 3 of the post on NC probability spaces, stating that W*-probability spaces consist of nondegenerate normal states on a von Neumann algebra. Compare with the proof of theorem 9 above. By definition, a von Neumann algebra can be represented by an action on a Hilbert space, with respect to which it forms a weakly closed *-subalgebra of the collection of bounded operators. By saying that the state is normal, we mean that it is normal with respect to this action.
Theorem 23 The pair
is a W*-probability space if and only if
is a von Neumann algebra with respect to which
is a nondegenerate normal state.
Proof: First, suppose that is a W*-probability space. By theorem 21,
is a *-isomorphism between
and the weakly closed
which, by lemma 12, is a unitial *-subalgebra. This represents
as a von Neumann algebra on
, with respect to which
is normal and nondegerate.
Conversely, suppose that is a von Neumann algebra on Hilbert space
and that
is a nondegenerate normal state. The
norm and the ultraweak topology defined by
coincides with that defined by the action on
(lemmas 8 and 22). Hence, the unit ball is ultraweakly complete (lemma 13), so
is a W*-probability space. ⬜
I conclude with a proof of theorem 4 of the post on NC probability spaces. Compare with theorem 10 above for the C* case.
Theorem 24 Let
be a von Neumann algebra and
be a normal state. Then,
is a W*-probability space.
Proof: As is just the
-ultraweak closure of the point
, and the
-ultraweak topology is stronger than the
-ultraweak (lemma 22), it follows that
is
-ultraweakly closed,
Suppose that is a von Neumann algebra on Hilbert space
. It is standard that the quotient
by an ultraweakly closed *-ideal is again a von Neumann algebra. Specifically, every such ideal is generated by a central projection
(Blackadar III.1.13). That is,
, where
is a projection which commutes with all elements of the algebra. Then,
is *-isomorphic to the ultraweakly closed complementary ideal
and, hence, is a von Neumann algebra acting on the closed subspace
. The *-homomorphism
given by multiplication by
has kernel
, so generates the isomorphism
. The state
is given by the restriction of
to
and, hence, is also normal. So,
is a normal state on
, and the result follows from theorem 23. ⬜