Abstract
In this paper, we construct a free semicircular family induced by -many mutually-orthogonal projections, and construct Banach ∗-probability spaces containing the family, called the free filterizations. By acting a free filterization on fixed von Neumann algebras, we construct the corresponding Banach ∗-probability spaces, called affiliated free filterizations. We study free-probabilistic properties on such new structures, determined by both semicircularity and free-distributional data on von Neumann algebras. In particular, we study how the freeness on free filterizations, and embedded freeness conditions on fixed von Neumann algebras affect free-distributional data on affiliated free filterizations.
Keywords:
free probability; Banach ∗-probability spaces; von Neumann algebras; projections; semicircular elements; free filterizations; affiliated free filterizations JEL Classification:
11R56; 46L10; 46L40; 46L53; 46L54; 47L15; 47L30; 47L55
1. Introduction
There are different approaches to construct semicircular elements (e.g., [1,2,3]) in topological ∗-probability spaces (e.g., -probability spaces, or -probability spaces, or Banach ∗-probability spaces, etc.). In [4], we introduced how to construct semicircular elements in certain topological ∗-probability spaces. The construction of [4] is highly motivated by that of weighted-semicircular elements in a Banach ∗-probability space in the sense of [5,6]. In this paper, we put our semicircular elements on a fixed -probability space, and then consider structure theorems of such Banach ∗-probabilistic structures under our actions, and study free-distributional data from the structures.
1.1. Motivation and Background
The main purpose of this paper are (i) to construct (weighted-)semicircular elements from orthogonal projections, (ii) to act them to von Neumann algebras, and (iii) to study free-distributional data determined both by these (weighted-)semicircular elements, and free distributions on von Neumann algebras. In particular, the construction of our (weighted-)semicircular elements are highly motivated by the constructions of [5,6].
In [7], the author and Gillespie studied free-probabilistic models of certain embedded sub-structures of Hecke algebras generated by the generalized linear groups = over p-adic number fields for fixed primes In addition, such a free-probabilistic model is generalized in [8] fully on . Motivated by [7,8], independently, the author mimicked the techniques and ideas to construct weighted-semicircular elements and corresponding semicircular elements induced by certain orthogonal projections on in [6]. In [5], as an application of the main results of [6], we studied free stochastic calculus for the weighted-semicircular laws in the sense of [6].
Our constructions of weighted-semicircular, and semicircular elements in this paper is understood as a pure operator-theoretic version of those of [5,6].
1.2. Overview
Here, we generalize the free probability on free filterizations (which are Banach ∗-probability spaces generated by the semicircular elements obtained in [4]). By using these free filterizations to arbitrarily fixed von Neumann algebras we consider M-affiliated free filterizations, and establish suitable free-probabilistic models on them.
In Section 2, we briefly mention background theories for our proceeding works.
In Section 3, we introduce fundamental free-probabilistic settings from given -many mutually orthogonal projections.
In Section 4 and Section 5, we construct weighted-semicircular, and semicircular elements induced by given orthogonal projections.
In Section 5, from the ingredients of Section 3, Section 4 and Section 5, we construct free filterizations as free product Banach ∗-probability spaces, and consider fundamental free-distributional data on them.
In Section 7, we act an arbitrarily fixed free filterization to a given von Neumann algebra, and construct the corresponding von-Neumann-algebra-affiliated free filterizations, and study how our semicircular elements work on such structures.
In Section 8, from the free-distributional data obtained in Section 7, we construct-and-study weighted-semicircular, and semicircular elements in affiliated free filterizations. By doing that, one can see how the freeness on our free filterizations affects the free probability on affiliated structures.
In Section 9, by considering (embedded, or full) freeness conditions on given von Neumann algebras, free-distributional data on affiliated free filterizations are studied. We show how the freeness conditions on von Neumann algebras affect the affiliated structures.
In Section 10, an example for the main results of Section 7, Section 8 and Section 9 will be considered. In particular, we are interested in the case where a fixed von Neumann algebra is given to be a free group factor (e.g., [1]) generated by the free group with n-generators.
2. Preliminaries
Readers can check fundamental analytic-and-combinatorial free probability theory from [2,3,9] (and cited papers therein). Free probability is understood as the noncommutative operator-algebraic version of classical probability theory and statistics. The classical independence is replaced by the freeness, by replacing measures on sets to linear functionals on (noncommutative algebraic, or topological ∗-) algebras. It has various applications not only in pure mathematics (e.g., [1,2]), but also in related topics (e.g., [8] through [7]). In particular, we will use combinatorial free-probabilistic approach of Speicher (e.g., [9]). Free moments and free cumulants of operators (representing free-distributional data of operators), or free probability spaces, or free product of algebras will be considered without introducing detailed concepts.
3. Certain Banach ∗-Algebras Induced by Orthogonal Projections
Let be a topological ∗-probability space (-probability space, or -probability space, or Banach ∗-probability space, etc.) of a topological ∗-algebra A (-algebra, resp., von Neumann algebra, resp., Banach ∗-algebra), and a bounded linear functional on
An operator a of A is said to be a free random variable whenever it is regarded as an element of As usual, we say a is self-adjoint (as an operator in A), if = a in where is the adjoint of
Definition 1.
A self-adjoint free random variable a is said to be weighted-semicircular in with its weight ∈ (or, in short, -semicircular), if a satisfies the free-cumulant computation,
for all n ∈ where is the free cumulant on A in terms of under the Möbius inversion of [9].
If = 1 in (3.1), the 1-semicircular element a is simply said to be semicircular in
By definition, a free random variable a is semicircular in if a satisfies
for all n ∈ .
By the Möbius inversion of [9], one can characterize the weighted-semicircularity (3.1) as follows: a is -semicircular in if and only if
where
for all n ∈ where are the k-th Catalan numbers,
for all k ∈ ∪
By (3.2) and (3.3), a free random variable a is semicircular in if and only if
for all n ∈ , where are in the sense of (3.3).
Thus, one can use the -semicircularity (3.1) (respectively, the semicircularity (3.2)), and its characterization (3.3) (respectively, (3.4)) alternatively.
Recall that, if a free random variable x ∈ is self-adjoint, then the sequences
provide equivalent free distributions of
Indeed, the Möbius inversion (of [9]) satisfies
and
where is the lattice of all noncrossing partitions over ..., and “V ∈ ” means “V is a block of ,” and where is the Möbius functional in the incidence algebra over
(see [9]).
Now, let A be a given -algebra, and let ∈ A be a projection in the sense that:
for all j ∈ where is the set of all integers. Moreover, assume that the projections are mutually orthogonal from each other in the sense that:
where means the Kronecker delta.
Remark 1.
Such mutually orthogonal -many projections can be found in a -algebra A, naturally, or artificially. One can find such projections naturally as in [3,4].
If is a finite family of mutually orthogonal projections in a certain -algebra for some N ∈ then one can construct a -algebra
under product topology, and then we obtain the mutually orthogonal -many projections,
in artificially.
Similarly, if N = and forms a family of mutually orthogonal projections in a certain -algebra then one can construct a -algebra
with a family of mutually orthogonal -many projections,
in artificially.
Therefore, from below, we always assume a given -algebra A has a family of mutually orthogonal -many projections.
Note that we are not interested in operator-algebraic structures or properties of but interested in induced weighted-semicircularity or semicircularity from projections in a -algebra A.
Now, we fix a family of mutually orthogonal projections of a fixed -algebra and we denote it by ;
satisfying (3.5).
In addition, let Q be the -subalgebra of A generated by of (3.6),
Then, it is easy to get the following structure theorem.
Proposition 1.
Let Q be a -subalgebra (3.7) of a given -algebra generated by the family of (3.6). Then,
Proof.
The structure theorem (3.8) is proven by the mutual-orthogonality (3.5) of the generator set of (3.6) in ☐
Now, assume that we fix a bounded linear functional on the -algebra creating the corresponding -probability space From this fixed -probability space define now linear functionals on Q by
for all j ∈ where , on the right-hand side of (3.9), is the restricted linear functional of on the -subalgebra Q of Remark that such linear functionals of (3.9) are well-defined on Q by (3.8).
Therefore, if q ∈ then
and, hence,
by the definition (3.9) of for all j ∈ It shows that the system of the linear functionals (3.9) filterize, or sectionize Q free-probabilistically.
Definition 2.
The -probability spaces are called the j-th -probability spaces of Q in where Q is the -subalgebra (3.7) of and are in the sense of (3.9), for all j ∈
Now, let us define bounded linear transformations c and a “acting on the -algebra Q” by
for all j ∈ Then, c and a are indeed well-defined bounded linear operators “on ” understood as elements of the operator space consisting of all bounded linear transformations on Q (e.g., [10]). Without loss of generality, one can regard c and a of (3.10) as Banach-space operators on a Banach space
Definition 3.
We call these Banach-space operators c and a of (3.10), the creation, respectively, the annihilation on Q.
Define now a new Banach-space operator l in the operator space by
where c and a are the creation, respectively, the annihilation on Q.
Definition 4.
We call the Banach-space operator l of (3.11), the radial operator on
By the definition (3.11), one has
Now, define a Banach subspace
of generated by the radial operator equipped with the operator norm,
on where is the -norm on where mean the operator-norm closures of subsets X in By the definition (3.12), it is not difficult to see that this Banach-subspace forms a Banach algebra inside
On the Banach algebra of (3.12), define a unary operation (∗) by
where are the conjugates ofz in
Then, the operation (3.13) is a well-defined adjoint on and hence, all elements of are adjointable (in the sense of [10]) in Thus, the Banach algebra of (3.12) forms a Banach ∗-algebra.
Definition 5.
We call the Banach ∗-algebra of (3.12), the radial (Banach ∗-)algebra on
Now, let be the radial algebra on Construct now the tensor product Banach ∗-algebra,
Definition 6.
We call the tensor product Banach ∗-algebra of (3.14), the radial projection (Banach ∗-)algebra on
4. Weighted-Semicircular Elements Induced by
Throughout this section, we fix the settings of Section 3, and construct weighted-semicircular elements induced by the family of mutually orthogonal -many projections in a fixed -probability space . Let be j-th -probability space of Q in where are the linear functionals (3.9), for all j ∈ and let be the radial projection algebra (3.14) on
Remark that, if
then
since = for all n ∈ for j ∈
Then, one can construct a linear functional on the radial projection algebra by a linear morphism satisfying that
for all n ∈ for all j ∈ Note that such linear functionals of (4.2) are well-defined by (3.8) and (3.14).
Definition 7.
We call the Banach ∗-probability spaces,
the j-th (Banach-∗-)probability spaces on
Now, consider the elements in for all n ∈ i ∈ Observe first that, if c and a are the creation, respectively, the annihilation on Q in the sense of (3.10), then
where is the identity operator on Q in the operator space satisfying
Indeed, for any ∈ in
and
for all j ∈
By (4.4), one can get that
and
Furthermore, since the radial algebra which is a tensor-factor of is generated by a single generator one has
in for all n ∈ by (4.4) and (4.4) where
Note that, for any n ∈
by (4.5). Therefore, the formula (4.6) does not contain -terms by (4.4)
Note also that, for any n ∈ one has
by (4.5).
Proposition 2.
Let l be the radial operator generating the radial algebra on Then,
Proof.
The statement (4.8) (resp., (4.9)) is proven by (4.6) (resp., (4.7)) with help of (4.4), (4.4) and (4.5). ☐
By (4.1) and (4.2), one can obtain that
for all n ∈ by (3.9) and (4.8). Indeed, does not contain -terms by (4.8). Therefore, the formula (4.10) holds.
Similarly, we have
by (4.7)
by (3.9), for all n ∈
Theorem 1.
Fix j ∈ and let = be the corresponding generating operator of the j-th probability space Then,
where are in the sense of (3.3), and are the -th Catalan numbers, for all n ∈
Proof.
Observe that
by (4.10). In addition, one has that
by (4.11), for all n ∈ ☐
Motivated by the free-distributional data (4.12) of the generating operator = of the radial projection algebra of (3.14), we define the following morphism
by a linear transformation satisfying that
for all n ∈ j ∈ where means the minimal integer greater than or equal to for example,
The linear transformations of (4.13) are well-defined linear transformations on because of the construction (3.14) of = and by the structure theorem (3.8) of the radial algebra
Define now a new linear functional on by
where are in the sense of (4.2).
By the linearity of and the above morphisms are indeed well-defined linear functionals on for all j ∈
Definition 8.
The well-defined Banach ∗-probability spaces
are called the j-th filtered (Banach-∗-)probability spaces of the radial projection algebra on for all j ∈ .
On the j-th filtered probability space of (4.15), one can obtain that
i.e., we can get that
for all n ∈ for j ∈ by (4.12).
Theorem 2.
Let = be the j-th filtered probability space of the radial projection algebra on for an arbitrarily fixed j ∈ Then,
for all n ∈ for all i ∈ where are in the sense of (3.3).
Proof.
If i=j in then the free momental data (4.17) holds true by (4.16), for all n ∈
If i ≠ j in then, by the very definition (4.13) of the j-th filterization and also by the definition (4.2) of ,
Therefore, the above formula (4.17) holds, for all i ∈ ☐
The following corollary is a direct consequence of the above free distribution (4.17).
Corollary 1.
Let be the j-th filtered probability space of for a fixed j ∈ , and let be the j-th generating operator of Then, is -semicircular in
Proof.
First, remark that the j-th generating operator of is self-adjoint in because
The -semicircularity of is proven by the above self-adjointness, the free-moment computation (4.17), and the weighted-semicircularity characterization (3.3). ☐
Readers can check that the j-th generating operator satisfies the free-cumulant formula
for all n ∈ by the Möbius inversion of [9], where is the free cumulant on in terms of for all j ∈ . Thus, by the definition (3.1), the free random variables are -semicircular in the j-th filtered probability spaces = for all j ∈
Remark that, the k-th generating operators of the j-th filtered probability space have zero-free distributions, whenever k ≠ j in also, by (4.17). Therefore, in summary, we have the following theorem.
Theorem 3.
Let = be the generating operators of the j-th filtered probability space for all k ∈ for a fixed j ∈ Then,
Proof.
The proof of the statement (4.19) is done by (4.17) and (4.18). The statement (4.20) is also shown by (4.17). Indeed, if k ≠ j in then
by (4.17). Thus, the free distributions of these self-adjoint operators of where k ≠ j in are characterized by the following free-moment sequences:
Therefore, the free distributions of are the zero-free distribution in whenever k in ☐
The above two statements (4.19) and (4.20) fully characterize the free distributions of all generating operators of the j-th filtered probability spaces for all j ∈ .
5. Semicircular Elements Induced by
As in Section 4, we keep working on the j-th filtered probability spaces, = for j ∈ The main results of Section 4 show that, for a fixed j ∈ the j-th generating operator = of is -semicircular in by (4.19) (and (4.20)), satisfying that
equivalently,
for all n ∈ .
Recall now that we assumed for convenience that
in Section 3.
Under our assumption, the generating operators of the projection-radial algebra induce the operators ,
for all j ∈
Theorem 4.
Let = be free random variables (5.2) of the j-th filtered probability space for all k ∈ for a fixed j ∈
Proof.
Note first that the k-th generating operators have zero-free distributions in the j-th filtered probability space whenever k ≠ j in by (4.20). Since the corresponding operators of (5.2) are the scalar-multiplies of if k ≠ j in then the operators also have zero-free distributions in It shows that the statement (5.4) holds.
Assume now that is in the sense of (5.2) in for j ∈ and suppose ∈ in Since ∈ the corresponding operator is not only well-defined in , but also self-adjoint in by the self-adjointness of Therefore, this operator is self-adjoint in if ∈
Under self-adjointness of , observe that
by the -semicircularity (5.1) of , for all n ∈
Therefore, by the semicircularity characterization (3.4), this operator is semicircular in whenever ∈ Therefore, the statement (5.3) holds. ☐
The above theorem shows that the operators of (5.2), generated by our -semicircular elements are semicircular in the j-th filtered probability spaces for all j ∈ whenever ∈
Assumption 5.1
(in short, A 5.1, from below) If there is no confusion, then we automatically assume
for all ∈ . ☐
The above assumption, A 5.1, will guarantee that, if we have the -semicircular elements in the j-th filtered probability space we also have the corresponding semicircular element = in for all j ∈
6. The Free Product Banach ∗-Probability Space
A family in an arbitrary (topological or pure-algebraic) free probability space is said to be a free family, if all elements of the family are mutually free from each other in where is a countable (finite or infinite) index set. For such a free family if every element is weighted-semicircular (or semicircular), then we call the free family, free weighted-semicircular (respectively, semicircular) family in
Recall that, for a fixed -probability space if there exists a mutually-orthogonal projections then one can construct -semicircular elements = in the -th filtered probability spaces = for all ∈ , with
where are in the sense of (3.3), equivalently,
for all ∈ for all ∈ by (4.16) and (4.17).
Moreover, one can construct corresponding semicircular elements
for all ∈ by (5.3), under A 5.1.
Now, we will construct the free product Banach ∗-probability space by
satisfying
where (⋆) means free product (over ) in the sense of [3,9].
Note that the free product of [3,9] is different from a pure-algebraic free product. It is totally depending on given linear functionals.
Definition 9.
The free product Banach ∗-probability space of (6.3) is called the free filterization of . Sometimes, the Banach ∗-algebra is also said to be the free filterization of
By the very construction (6.3) of the free filterization of , we obtain the following proposition immediately.
Proposition 3.
Let be the free filterization (6.3), and let and be in the sense of (6.1) and (6.2), respectively, for all ∈
Proof.
By the very definition (6.3) of free filterizations, s are free from each other in , for all ∈ . Indeed, each is taken from the free block of Therefore, the family forms a free family in Since each is -semicircular in it is -semicircular in because
for all ∈ for all ∈ Thus, this family is a free weighted-semicircular family in Therefore, statement (6.4) holds.
Similarly, one can conclude the family is a free semicircular family in showing that the statement (6.5) holds. ☐
7. Weighted-Semicircularity on Affiliated Free Filterizations
Let be a fixed -probability space, and let = be a family in consisting of all mutually orthogonal projections. Let be the -subalgebra of generated by and the corresponding radial projection algebra on inducing the corresponding -th filtered probability spaces = for all ∈ Remember that, by A 5.1,
Let
be the free filterization (6.3), and let
and
be the free weighted-semicircular family (6.4), respectively, the free semicircular family (6.5).
Now, we fix ∈ and focus on the free block = of the free filterization In addition, consider the compressed -subalgebra
be -subalgebras of
Remark 2.
Remark that if the -algebra is ∗-isomorphic to = , then each -subalgebra of (7.2) is ∗-isomorphic to · for ∈ which is not so interesting. However, if is ∗-isomorphic to for a certain non-trivial -algebra then every -subalgebra of (7.2) is ∗-isomorphic to = for ∈ which are interested.
Motivated by the above remark, we now fix an arbitrary unital tracial -probability space consisting of the von Neumann algebra and a bounded linear functional on ; i.e.,
and
Remark 3.
There are no typical reasons why we take a unital tracial -probability space One may / can regard as a unital tracial -probability space. However, on the von Neumann algebra , trace-depending operator theory, and operator algebra theory work well, and have been widely studied (as in -factor theories, etc.), and such structures have lots of interesting applications not only in operator theory but also in related science fields like quantum physics (under -topological settings).
One of the possible reasons would be from the main results of [1]. We want to mimic the constructions, and apply the main results of [1] here, as applications of our results in Section 4, Section 5, Section 6 and Section 7. In addition, we want to allow a variety of topological settings in our Banach ∗-probability structures, as generalizations of the results in previous sections.
Now, for our -th filtered probability space = a free block of the free filterization for ∈ construct the tensor product Banach ∗-algebra,
and define a linear functional on by a linear morphism,
in the sense that
for all ∈ for all ∈ for all generators = of the radial projection algebra
Then, one has well-defined Banach ∗-probability spaces for all ∈
Definition 10.
The Banach ∗-algebra of (7.3) is called the (-affiliated)-radial projection algebra. The Banach ∗-probability spaces of the -radial projection algebra and the linear functionals of (7.4) are said to be the -th (-affiliated)-filtered probability spaces, for all ∈ For convenience, we denote our -th -filtered probability spaces by i.e.,
Now, let = be our -th -filtered probability space (7.5), for all ∈ Construct the free-product Banach ∗-probability space by
Definition 11.
The free-product Banach ∗-probability space
of (7.6) is called the (-affiliated)-free filterization of =
It is not difficult to check that the elements
are -semicircular elements in the -free filterization =
Proposition 4.
Let be an -free filterization (7.6) of where is a fixed unital tracial -probability space.
Proof.
Let = ∈ in for ∈ Since is contained in the -th block of the -free filterization one obtains that
by (7.5) and (7.6), for all ∈ Therefore, by (7.9), (3.1) and (3.3), the free random variables are -semicircular in the -free filterization for all ∈ i.e., the statement (7.7) holds.
Similarly, since is in the free block of one obtains that
for all ∈ Therefore, by (7.10), (3.2) and (3.4), the free random variables are semicircular in ☐
By (7.7) and (7.8), we obtain the following corollary immediately.
Corollary 2.
Let be -free filterization (7.6) of and and suppose are the free blocks (7.5) of for all ∈
Proof.
By (7.7) and (7.8), the operators
are -semicircular in the -free filterization and the operators
are semicircular in respectively.
Moreover, since all elements (or ) are contained in the mutually-distinct free blocks of for all ∈ , the free random variables (resp., ) are mutually free from each other in Therefore, the statements (7.11) and (7.12) hold. ☐
Now, we take
and
in the -free filterization of and
By (7.11) and (7.12), the family (resp., ) of (7.13) is a free weighted-semicircular (Respectively, semicircular) family in
From the free families and of (7.13), let us construct families,
and
where are elements of satisfying
where means the zero element of for all ∈ .
Note that, by (7.6), the families (7.14) are free families in Now, consider certain type of free families (7.14).
Theorem 5.
Let ∈ be nonzero, and assume that (i) is self-adjoint, and (ii) there exists ∈ such that
Proof.
For convenience, let us denote the two families of (7.15) and (7.16) by
where and are in the sense of (7.13), where ∈ is given as above.
First of all, by the self-adjointness of ∈ since is assumed to be self-adjoint in all elements
are self-adjoint in
All elements ∈ are contained in the mutually-distinct free blocks,
for all ∈ these operators are mutually free from each other in for all ∈ .
Observe now that
for all ∈ by the assumption that = for all ∈ for some ∈
It shows that the self-adjoint free random variables ∈ are -semicircular in the -free filterization by (3.3). Therefore, the family is a free -semicircular family in
Similarly, since = ∈ in for all ∈ the family is a free family in because is. By A 5.1, and by the condition is self-adjoint, all entries of are self-adjoint in
In addition, one has that
for all ∈
Therefore, by (3.4), each entry of the family is -semicircular in for all ∈ and, hence, the family is a free weighted-semicircular family in the -free filterization ☐
Let’s denote the families
of (7.14), by
for ∈ for all ∈
Under A 5.1, every semicircular element (which is a tensor-factor of ∈ ) is well-defined as the scalar-product of the -semicircular element in the free block of the free filterization of (which is a tensor-factor of ), for all ∈ Thus, one can understand as and, hence,
in for all ∈
It means that the family (or ) is generated by the family (resp., ). Therefore, in the following, we concentrate on studying properties of the operators of induced by (covering the properties of those induced by in the above senses).
8. Free Distributions on Affiliated Free Filterizations
In this section, we fix a -free filterization = in the sense of (7.6) for a fixed unital tracial -probability space and study free-distributional data of certain free random variables of
Let = ∈ be a free semicircular family of (7.12) in , where are the free blocks of for all ∈ Now, we construct free random variables of induced by and
with ∈ and ∈ where the summands of (8.1) satisfy
where ∈ for all ∈
For an operator of (8.1), define the support of denoted by , by
Proposition 5.
Let be a free random variable (8.1) in the -free filterization Then,
where are in the sense of (3.3), for all ∈ and is the support (8.2) of in
Proof.
Observe that
by (8.1)
by (8.1)′
Therefore the formula (8.3) holds. ☐
Observe first that if is in the sense of (8.1) in the -free filterization then each summand such that ≠ equivalently, with ∈ , are contained in a free block = for all ∈ in Therefore, one can conclude the following result.
Proposition 6.
Let be in the sense of (8.1) induced by a fixed -probability space and the free semicircular family of (7.12) in Then, all nonzero summands of are free from each other in the -free filterization for all ∈ Equivalently, this operator is a free sum in
Proof.
The proof is straightforward from the very construction (8.1) of the operator in as we discussed in the very above paragraph. ☐
Now, we concentrate on studying the free distribution of a free sums of (8.1). Consider first that
where
the Cartesian product of -copies of
by (7.6),
Lemma 1.
Let be a free sum (8.1) in the -free filterization Then,
for all ∈ where is the trace of (6.3) on the free filterization of
Proof.
The proof of (8.5) is done by (8.4). ☐
The above formula (8.5) shows that computing free moments of the free sum of (8.1) is reduced to compute the joint free moments of semicircular elements
of the free filterization of
Lemma 2.
Let = ∈ be the free semicircular family (6.5) in the free filterization of and let
where ..., ∈ for ∈
If = ... = = in then the operator of (8.6) satisfies that
If the sequence is alternating in in the sense that
then
Proof.
Let be an operator (8.6) in the free filterization of If = ... = = in then
with = in
by the semicircularity (6.5) of in
Similarly, by the self-adjointness of one can get that
and, hence,
with = as above in
Thus, the statement (8.7) holds.
Assume now that the sequence ..., is alternating in Then, by the freeness (6.5) of the family in one obtains that
by the semicircularity on in In addition, one can get that
Therefore, the statement (8.8) holds. ☐
The above results (8.7) and (8.8) in fact characterize the free distributions of the product operators of in because of the freeness on the free semicircular family Indeed, every product in has its unique form,
where ..., is alternating in . The resulted unique forms under product are said to be the free reduced words of in
For instance, if is a product,
then it is in fact
satisfying
in where are the -th filtered probability spaces, the free blocks of In other words, this product operator in the free family is the free reduced word in
Therefore, indeed, the above lemma characterizes the full free-distributional data obtained from the free semicircular family of (6.5) in
However, more precisely, we may refine the above results as follows. First, observe that if ..., is an alternating -tuple in and if there exists a unique partition of the -tuple ..., with -many noncrossing blocks
where
...,
satisfying
in
Then, we call such maximal partition of ..., the alternating partition.
For example, in the very above product operator one can induce the corresponding integer-sequence,
with its alternating partition,
It is trivial that if an integer-sequence ..., is alternating in then its alternating partition is
Now, let = ..., be a finite integer sequence regarded as its unique alternating partition,
where ..., are the blocks of the alternating partition of with ≤ in , satisfying
for all = ..., with
We say that the cardinality of blocks in the (alternating-)partition size of One can define the following quantities for a fixed size- alternating partition of the sequence
for all = ..., We call these quantities the block-sizes of for all = ...,
For example, if the product operator is a free reduced word, of is as above inducing the size-4 alternating partition of its integer-sequence,
then
and
We can realize that the block-sizes are identical to the powers of free-factors of
Example 1.
Let = be the free semicircular family (6.5) in the free filterization of and let
be a product operator of in Then, this operator is identical to the free reduced word
inducing the size-4 alternating partition of the corresponding integer-sequence,
with
and
having the block-sizes
respectively.
Based on the above new concepts we discussed, let’s refine the computations (8.7) and (8.8).
Lemma 3.
Let = be a product operator of in the free semicircular family of (6.5), for ∈ Assume that induces the size- alternating-partition ..., of its integer-partition ..., with the block-sizes
with
for some ≤ in Then, this product is the free reduced word,
satisfying
Proof.
Let be given as above in the free filterization of Then, by the very above discussion, this product operator in is the free reduced word in where are the block-sizes of the size- alternating partition of ..., in Thus, the product is identified with the free reduced word of (8.9) in
By (8.9), (8.7) and (8.8), the free-moment computation (8.10) holds. ☐
By the above three lemmas, we obtain the following free-distributional data of the free sum in the sense of (8.1) in the -free filterization
Theorem 6.
Let = be the free sum (8.1) in the -free filterization Then,
for all ∈ In particular, for any fixed ..., ∈ one has the corresponding integer-sequence
Then, the integer-sequence has its unique alternative-partition,
with
such that = in inducing the free reduced word,
satisfying
Proof.
The formula (8.11) is proven by (8.5). The computation (8.12) is shown by (8.9) and (8.10). ☐
The following corollary is a direct consequence of the above theorem.
Corollary 3.
Let be the free sum (8.1) in the -free filterization Then,
where satisfy (8.12), for all ..., ∈ for all ∈
Proof.
Since = is a free sum in one can get that
by the self-adjointness of the semicircular elements in the free filterization (under A 5.1), for all ∈
Therefore, similar to (8.11) and (8.12), the formula (8.13) holds. ☐
The following result is immediately obtained by (8.12) and (8.13).
Corollary 4.
Let be the free sum (8.1) in Assume that ∈ are self-adjoint in for all ∈ in Then, the free distribution of is characterized by the free-moment sequence, , whose entries are determined by (8.12).
Proof.
Under hypothesis, the free sum is self-adjoint in in the sense that = . Thus, by (8.12) and (8.13), this corollary is proven. ☐
Now, we generalize the free-distributional data (8.12) and (8.13).
Let = : ∈ for all ∈ Define a subset of by
for all ∈
For an arbitrarily fixed -tuple = ..., in let be an ordered -tuple
whose entries are from i.e., ∈ for all = ...,
In addition, for the -tuple let
be an -tuple of natural numbers, ∈ for all = ..., where ..., are the entries of
For such -tuples , and define an operator by
in the -free filterization for all = ...,
Now, let a fixed -tuple is taken from of (8.14), and let
be in the sense of (8.15), contained in the Banach ∗-subalgebra
(again, see [2,3,9]).
Remark 4.
If is not an alternating -tuple in for some ∈ equivalently, if
then one can decide the maximal partition of whose blocks consist only of same integers. For instance, if
then one has the partitioned sequence,
and give reduction on (8.8) for each block of i.e.,
and, hence,
in the free block
in which is identified with
in
As we considered above, if ∈ then there exists a unique ∈ , such that
as a free reduced word.
It shows that, without loss of generality, one can reduce his interests in alternating sequences (instead of all sequences in ) in for ∈
Consider free distributions of free random variables of (8.16), for ∈
Theorem 7.
Let ∈ for some ∈ and let be the operator (8.16) in the -free filterization Then,
and
Moreover, if the fixed alternating -tuple = satisfies
then
and
for all ∈
Proof.
By the alternating-ness of the operator forms a free reduced word in , by (7.6). Therefore, one can get that
by the semicircularity of ’s in . Similarly,
Thus, the free-distributional data (8.17) are obtained.
Assume now that a fixed alternating -tuple = satisfies
Under this additional condition, one can realize that the -tuples
satisfy
i.e., are alternating in for all ∈ It guarantees that the operators form free reduced words in for all ∈ Therefore,
and, similarly,
for all ∈ , by (8.17).
Therefore, the free-probabilistic information (8.18) is obtained. ☐
As we have seen above, our main results of Section 8, the free-distributional data induced by the free semicircular family are affected by the freeness (6.3) on the free filterization of in the -free filterization In Section 9, let us consider freeness conditions and corresponding free-distributional information on affected by the freeness on
9. Certain Freeness Conditions on
In this section, we consider freeness conditions on our -free filterization
affected by the freeness on a fixed unital tracial -probability space .
Since is defined to be the free product of -th filtered probability spaces , the freeness (6.3) on the free filterization of affects the free-distributional information on canonically (see Section 8; e.g., (8.12), (8.13), (8.17) and (8.18)), and it affects the freeness on (see Section 7; e.g., (7.11), (7.12), (7.15) and (7.16)).Therefore, it is natural to ask how the freeness on the other tensor-factor affects the freeness on the -free filterization
Assume that a fixed -probability space satisfies
Then, the free blocks of the -free filterization ) satisfies that
where are the -th filtered probability spaces, the free blocks of the free filterization of
by (9.1)
because, as a Banach ∗-algebra, = the projection radial algebra (for each ∈ ), where is the radial algebra (3.12), by (3.14)
by (3.8)
by (3.12)
where means the polynomial-algebra in with -coefficients, and where means the norm-topology-closure under the product topology for the -topology for (or that for ) and the Banach-topology for in the sense of (3.12)
where are in the sense of (7.3), equipped with their linear functionals
in the sense of (7.4), for all = for all ∈
By (9.2) and (9.3), we obtain the following structure theorems.
Theorem 8.
Let ∈ be arbitrarily fixed, and let be the corresponding free block of the -free filterization of Assume that a fixed unital tracial -probability space satisfies the freeness (9.1). Then,
where
for all =
Proof.
The structure theorem (9.4) is proven by (9.2), where are the Banach ∗-algebras in the sense of (7.3) equipped with their linear functionals of (9.3) as in (7.4). ☐
By (9.4), one can get the following corollary immediately.
Corollary 5.
Suppose a given -probability space is the free product -probability space,
for an countable (finite or infinite) index set Λ (under suitable product topology). Then, the free blocks of the -free filterization of satisfy that
where
for all ∈
Proof.
The structure theorem (9.6) is obtained by the induction on (9.4), where satisfies the freeness (9.5). ☐
By (9.4) and (9.6), one can get the following structure theorem for our -free filterization in terms of the freeness on
Corollary 6.
Let = and let be the -free filterization of where Λ is a (finite, or infinite) countable index set. Then,
Proof.
Observe that
by (9.6). Thus, the ∗-isomorphic relation (9.7) holds. ☐
The above structure theorem (9.7) characterizes the freeness on the -free filterization by the freeness on In fact, it shows how the freeness both on and on the free filterization of affect the free structure of
In addition, the structure theorem (9.4), and its generalization (9.6) shows the following results as well.
Theorem 9.
Let be free random variables in a fixed -probability space and suppose they are free in Then, the corresponding operators
(9.8) are free in the -free filterization of for any arbitrarily fixed ∈ for all ∈ i.e., for all ∈
Proof.
Now, let ∈ be in the sense of (9.8), for all = where the tensor-factors of them are free in Now, construct -subalgebras of by
and consider the restricted linear functionals
Then, it is not difficult to check that the -subalgebra
satisfies
with respect to the linear functional
satisfying
Now, we consider -free filterization , as a Banach ∗-subalgebra of
Then, by (9.4) and (9.6), we obtain that the free blocks of satisfy
in (inside ), for all ∈
Note that
in for all =
By (9.10) and (9.11), the subsets
are contained in the distinct free blocks , respectively in the free block of It shows that these two subsets are free in (e.g., [9,10,11]), equivalently, the operators and of (9.8) are free in
Therefore, the statement (9.9) holds. ☐
The true statement (9.9) shows that the freeness conditions on implies the freeness on free blocks of the -free filterization of Note that the freeness condition (9.9) is slightly different from the structure theorem (9.7). The above statement (9.9) shows that the “embedded” free structures in affects the freeness on meanwhile, the structure theorem (9.7) says the freeness on affects the freeness on
By (9.7), or by (9.9), we obtain the following free-distributional data.
Theorem 10.
Let be free random variables in a given -probability space and suppose that they are free in Let = is in the sense of (9.8) in the -free filterization of for all = Assume that
is an alternating -tuple in Let
Then,
Moreover, if ≠ in where and are the entries of the -tuple of (9.12), then
Proof.
Suppose be in the sense of (9.13) in under the alternating condition (9.12). Then, this operator is contained in the free block of By regarding as an element in it is regarded as a free reduced word in by (9.9) and (9.10) (e.g., [2,3,9]). Therefore,
by the alternating-ness of ..., in Therefore, the free-distributional data (9.14) holds.
Now, assume that ..., is not only alternating in but also
Under this assumption, the operators ∈ are understood as free reduced words in the free block for all ∈ Therefore, one obtains that
Therefore, the free-momental information (9.15) holds. ☐
Remark 5.
Free-distributional data (8.11), (8.12), (8.13), (8.17) and (8.18) shows how the freeness on the free filterization of affect the free-distributional data on the -free filterization In addition, the free-distributional data (9.14) and (9.15) illustrate how the freeness on affects the free-distributional information on By combining these results with (9.7), or with (9.9), one can characterize the free-probabilistic information of operators of under freeness on and that on
10. Application
Let be an arbitrarily fixed unital tracial -probability space, and let = be the -free filterization of where is the -subalgebra of a -probability space generated by mutually-orthogonal -many projections in
Now, we will apply our main results of Section 7, Section 8 and Section 9 to a special case, where a von Neumann algebra is given to be a free group factor, i.e.,
generated by the free group of -generators for ∈ , where
(e.g., [1,11]). For example, the free group factor is a group von Neumann algebra generated by as a -subalgebra of the operator algebra where is the -Hilbert space generated by the group satisfying the following factor-ness.
A von Neumann algebra (contained in the operator algebra of all operators on a Hilbert space ) is a factor, if
where is the commutant of in
Recall that every von Neumann algebra is decomposed by factors of different types. For more about von Neumann algebras and factors, see [11]. Note also that the free group factors are indeed well-determined factors (e.g., [1] because is an i.c.c. group), for all ∈
By construction, all elements of are expressed by
in (as finite sums or infinite sums under limit), with their adjoint,
where is the adjoint of (as an operator in ), and is the group-inverse of (as a group-element of ).
The free group factors are equipped with their canonical traces on them, defined by
where are the group-identities of for all ∈ i.e., if ∈ as a (possibly infinite) linear combination in then is regarded as the process taking the coefficient of for the group identity of .
Therefore, every free group factor is automatically understood as a -probability space where is the canonical trace (10.1) on , for all ∈ From below, if we write then it means either the free group factor, or the corresponding -probability space
It is not hard to check that forms a unital tracial -probability spaces, for all ∈ Thus, under our settings, one can establish the corresponding -free filterization of
Notation Denote the -free filterizations simply by for all ∈ ☐
It is well-known that, if ∈ and if ∈ = ∪ such that
then
(e.g., see [1,3]), where “” means “being -algebra-isomorphic”.
More generally, if = in with ..., ∈ for ∈ then
by the induction on (10.2). For instance, by (10.3),
for all ∈ by regarding as the infinite cyclic abelian group (up to group-isomorphisms).
Radulescu showed in [8] that either the statement (10.4) or (10.5) holds true, where
Unfortunately, we do not know which one holds yet.
By (10.3) and (9.7), we obtain the following structure theorem of for ∈
Corollary 7.
Let be the -free filterization of for ∈ and assume that
Then,
where are the -th filtered probability spaces, the free blocks of the free filterization of
Furthermore, one obtains that
with
for all ∈
Proof.
The structure theorem (10.7) are immediately obtained by (9.7) with help of (10.2) and (10.3), under the assumption (10.6). In addition, the structure theorem (10.8) is shown by (9.7) and (10.3) ☐
The above isomorphism theorems (10.7) and (10.8) let us have the following corollary.
Corollary 8.
Let ∈ and let be the -free filterization of
If = as in (10.6) in then
where are the -free filterizations of for all = ...,
We have that
where is the -free filterization of
Proof.
By (10.7), one has that
under (10.6). Therefore, the statement (10.9) holds.
In addition, the statement (10.10) holds as a special case of (10.9). ☐
From below, let’s fix ∈ and the corresponding -free filterization
Corollary 9.
Let = ∈ , where ∈ (and hence, they are generating operators of ), and ∈ are semicircular elements in the free filterization and ∈ for all = ..., for ∈ Let
Assume first that = 1 in , and hence = ∈ Then,
for all ∈ where is the group-identity of (and, hence, the identity element of ).
Suppose > 1 in and assume that is in the sense of (10.11) in and the corresponding -tuple ..., is alternating in Then,
Under the same hypothesis of (10.13), assume further that ≠ in Then,
for all ∈
Proof.
Let = ∈ for ∈ ∈ Then, this operator is contained in the free block in the -free filterization Thus,
in and, hence,
for all ∈ where = in (and, hence, it is identical to in ). Therefore, one can get that
by (8.17) and (8.18)
where is the Kronecker delta
for all ∈
Similarly, one obtains that
for all ∈
Note that the conditions for (10.15) and (10.16) are obtained by the very construction of free groups. For example, the generators of free groups have no relations.
Therefore, by (10.15) and (10.16), the statement (10.12) holds true.
Now, let be in the sense of (10.11), and suppose ..., is an alternating -tuple in Then, this operator forms a free reduced word in Thus, by (8.17) and (8.18), one can get that
Similarly,
Therefore, by (10.17) and (10.18), the statement (10.13) also holds true.
Finally, a given operator of (10.11) is a free reduced word of the -free filterization as in (10.13). Assume more now that
Then, one can check that the operators and are free reduced words in It allows us to have
and
for all ∈
Therefore, by (10.13), the statement (10.14) holds true. ☐
The above corollary characterizes how to compute free-distributional data. Different from the above corollary, we also obtain the following free-moment computations from (9.14) and (9.15).
Corollary 10.
Let ∈ and ∈ be fixed, and let be the given -free filterization of Let
where ∈ for all = ..., and let
Then,
with
Moreover, we have that:
if > 1 is odd in and if
contains either no identity element as its entry, or even-many identity elements as its entries, then = 0. If is even in and if there exists ..., ∈ such that
in , then
where is in the sense of (10.20). For the fixed even number
otherwise.
Proof.
Suppose is an operator (10.19) in From the very construction (10.19) of one can realize that this operator is contained in the free block of for the fixed integer since
is contained in
Therefore by (9.14) and (9.15), one has that
Similarly,
Therefore, the free-distributional data (10.20) holds.
The statements (10.21), (10.22) and (10.23) are nothing but a re-expression of (10.20). ☐
The above free-distributional data (10.12), (10.13), (10.14) and (10.20) provide the general ways to compute free distributions of operators in the -free filterization for ∈
Conflicts of Interest
The author declares no conflict of interest.
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