Abstract
In this paper, we study free probability on (weighted-)semicircular elements in a certain Banach *-probability space induced by measurable functions on p-adic number fields over primes . In particular, we are interested in the cases where such free-probabilistic information is affected by primes in given closed intervals of the set of real numbers by defining suitable “truncated” linear functionals on .
Keywords:
free probability; primes; p-adic number fields; Banach *-probability spaces; weighted-semicircular elements; semicircular elements; truncated linear functionals MSC:
05E15; 11G15; 11R47; 11R56; 46L10; 46L54; 47L30; 47L55
1. Introduction
In [1,2], we constructed-and-studied weighted-semicircular elements and semicircular elements induced by p-adic number fields for all p ∈ where is the set of all primes in the set of all natural numbers. In this paper, we consider certain “truncated” free-probabilistic information of the weighted-semicircular laws and the semicircular law of [1]. In particular, we are interested in free distributions of certain free reduced words in our (weighted-)semicircular elements under conditions dictated by the primes p in a “suitable” closed interval of the set of real numbers. Our results illustrate how the original (weighted-)semicircular law(s) of [1] is (resp., are) distorted by truncations on
1.1. Preview and Motivation
Relations between primes and operators have been widely studied not only in mathematical fields (e.g., [3,4,5,6]), but also in other scientific fields (e.g., [7]). For instance, we studied how primes act on certain von Neumann algebras generated by p-adic and Adelic measure spaces in [8,9]. Meanwhile, in [10], primes are regarded as linear functionals acting on arithmetic functions, understood as Krein-space operators under the representation of [11]. Furthermore, in [12,13], free-probabilistic structures on Hecke algebras are studied for p ∈ . These series of works are motivated by number-theoretic results (e.g., [4,5,7]).
In [2], we constructed weighted-semicircular elements and corresponding semicircular elements in a certain Banach *-algebra induced from the *-algebra consisting of measurable functions on a p-adic number field for p ∈ In [1], the free product Banach *-probability space of the measure spaces of [2] were constructed over both primes and integers, and weighted-semicircular elements and semicircular elements were studied in as free generators.
In this paper, we are interested in the cases where the free product linear functional of [1] on the Banach *-algebra is truncated in . The distorted free-distributional data from such truncations are considered. The main results characterize how the original free distributions on are affected by the given truncations on
1.2. Overview
We briefly introduce the backgrounds of our works in Section 2. In the short Section 3, Section 4, Section 5, Section 6, Section 7 and Section 8, we construct the Banach *-probability space and study weighted-semicircular elements and corresponding semicircular elements in for all p ∈ j ∈
In Section 9, we define a free-probabilistic sub-structure = of the Banach *-probability space having possible non-zero free distributions, and study free-probabilistic properties of Then, truncated linear functionals of on and truncated free-probabilistic information on are studied. The main results illustrate how our truncations distort the original free distributions on (and hence, on ).
In Section 10, we study free sums X of having their free distribution, the (weighted-)semicircular law(s), under truncation. Note that, in general, if free sums X have more than one summand as operators, then X cannot be (weighted-)semicircular in . However, certain truncations make them be.
In Section 11, we investigate a type of truncation (compared with those of Section 9 and Section 10). In particular, certain truncations inducing so-called prime-neighborhoods are considered. The unions of such prime-neighborhoods provide corresponding distorted free probability on (different from that of Section 9 and Section 10).
2. Preliminaries
In this section, we briefly introduce the backgrounds of our proceeding works.
2.1. Free Probability
Readers can review free probability theory from [14,15] (and the cited papers therein). Free probability is understood as the noncommutative operator-algebraic version of classical measure theory and statistics. The classical independence is replaced by the freeness, by replacing measures on sets with linear functionals on noncommutative (*-)algebras. It has various applications not only in pure mathematics (e.g., [16,17,18,19,20]), but also in related topics (e.g., see [2,8,9,10,11]). Here, we will use the combinatorial free probability theory of Speicher (e.g., see [14]).
In the text, without introducing detailed definitions and combinatorial backgrounds, free moments and free cumulants of operators will be computed. Furthermore, the free product of*-probability spaces in the sense of [14,15] is considered without detailed introduction.
Note now that one of our main objects, the *-algebra of Section 3, are commutative, and hence, (traditional, or usual “noncommutative”) free probability theory is not needed for studying functional analysis or operator algebra theory on , because the freeness on this commutative structure is trivial. However, we are not interested in the free-probability-depending operator-algebraic structures of commutative algebras, but in statistical data of certain elements to establish (weighted-)semicircular elements. Such data are well explained by the free-probability-theoretic terminology and language. Therefore, as in [2], we use “free-probabilistic models” on to construct and study our (weighted-)semicircularity by using concepts, tools, and techniques from free probability theory “non-traditionally.” Note also that, in Section 8, we construct “traditional” free-probabilistic structures, as in [1], from our “non-traditional” free-probabilistic structures of Section 3, Section 4, Section 5, Section 6 and Section 7 (like the free group factors; see, e.g., [15,19]).
2.2. Analysis of
For more about p-adic and Adelic analysis, see [7]. Let p ∈ , and let be the p-adic number field. Under the p-adic addition and the p-adic multiplication of [7], the set forms a field algebraically. It is equipped with the non-Archimedean norm which is the inherited p-norm on the set of all rational numbers defined by:
whenever x = in where a ∈ and b ∈ \ For instance,
and:
and:
The p-adic number field is the maximal p-norm closure in Therefore, under norm topology, it forms a Banach space (e.g., [7]).
Let us understand the Banach field as a measure space,
where is the -algebra of consisting of all -measurable subsets, where is a left-and-right additive invariant Haar measure on satisfying:
where is the unit disk of , consisting of all p-adic integers x satisfying Moreover, if we define:
for all k ∈ (with = ), then these -measurable subsets ’s of (1) satisfy:
and:
and:
In fact, the family forms a basis of the Banach topology for (e.g., [7]).
Define now subsets of by:
We call such -measurable subsets the boundaries of in for all k ∈ By (2) and (3), one obtains that:
and:
and:
for all ∈ where ⊔ is the disjoint union and ⌀ is the empty set.
Now, let be the algebra,
where are the usual characteristic functions of S ∈
Then the algebra of (5) forms a well-defined *-algebra over with its adjoint,
where ∈ having their conjugates in
Let ∈ Then, one can define the p-adic integral by:
Note that, by (4), if S ∈ then there exists a subset of such that:
satisfying:
by (6)
by (4), for all S ∈ where is in the sense of (7).
Proposition 1.
Let S ∈ and let ∈ Then, there exist ∈ such that:
and:
3. Free-Probabilistic Model on
Throughout this section, fix a prime p ∈ , and let be the corresponding p-adic number field and be the *-algebra (5) consisting of -measurable functions on Here, we establish a suitable (non-traditional) free-probabilistic model on implying p-adic analytic data.
Definition 1.
We call the pair the p-adic (non-traditional) free probability space for p ∈ where is the linear functional (11) on
Remark 1.
As we discussed in Section 2.1, we study the measure-theoretic structure as a free-probabilistic model on for our purposes. Therefore, without loss of generality, we regard as a non-traditional free-probabilistic structure. In this sense, we call the p-adic free probability space for The readers can understand as the pair of a commutative *-algebra and a linear functional having as its name the p-adic free probability space.
Let be the boundary \ of in , for all k ∈ Then, for ∈ one obtains that:
by (4), and hence,
where is the Kronecker delta.
Proposition 2.
Let …, ∈ for N ∈ Then:
and hence,
where:
Thus, one can get that, for any S ∈
where is in the sense of (7).
by (13), where are in the sense of (9) for all j ∈
Furthermore, if ∈ then:
where
Proposition 3.
Let ∈ and let ∈ for l = …, for N ∈ Let:
where are in the sense of (7), for l= …, Then, there exist ∈ such that:
and:
4. Representations of
Fix a prime p in and let be the p-adic free probability space. By understanding as a measure space, construct the -space,
over Then, this -space of (18) is a well-defined Hilbert space equipped with its inner product
for all ∈
Definition 2.
We call the Hilbert space of (18), the p-adic Hilbert space.
By the definition (18) of the p-adic Hilbert space our *-algebra acts on via an algebra-action
for all f ∈
Notation: Denote of (20) by for all f ∈ Furthermore, for convenience, denote simply by for all S ∈ □
By (20), the linear morphism is indeed a well-determined *-algebra-action of acting on (equivalently, every is a *-homomorphism from into the operator algebra of all bounded operators on for all f ∈ ), since:
for all h ∈ implying that:
for all ∈ ; and:
for all ∈ for all f ∈ implying that:
where is the inner product (19) on
Proposition 4.
The linear morphism of (20) is a well-defined *-algebra-action of acting on Equivalently, the pair is a Hilbert-space representation of
Definition 3.
The Hilbert-space representation is said to be the p-adic representation of
Depending on the p-adic representation of one can construct the -subalgebra of the operator algebra
Definition 4.
Define the -subalgebra of the operator algebra by:
where mean the operator-norm closures of subsets X of Then, this -algebra is called the p-adic -algebra of the p-adic free probability space
5. Free-Probabilistic Models on
Throughout this section, let us fix a prime p ∈ and let be the corresponding p-adic free probability space. Let be the p-adic representation of and let be the p-adic -algebra (23) of
We here construct suitable free-probabilistic models on In particular, we are interested in a system of linear functionals on determined by the boundaries of
Define a linear functional : → by a linear morphism,
for all a ∈ for all j ∈ where is the inner product (19) on the p-adic Hilbert space of (18).
Remark that if a ∈ then:
(with ∈ ), where ∑ is a finite or infinite (i.e., limit of finite) sum(s) under the -topology for . Thus, the linear functionals of (24) are well defined on for all j ∈ i.e., for any fixed j ∈ one has that:
where:
is the -norm on (inherited by the operator norm on the operator algebra ), and is the Hilbert-space norm,
induced by the inner product of (19). Therefore, for any fixed integer j ∈ , the corresponding linear functional of (24) is bounded on
Definition 5.
Let j ∈ and let be the linear functional (24) on the p-adic -algebra Then, the pair is said to be the p-adic (non-traditional) -probability space.
Remark 2.
As in Section 4, the readers can understand the pairs simply as structures consisting of a commutative -algebra and linear functionals on whose names are p-adic -probability spaces for all j∈ for p ∈
Fix j ∈ and take the corresponding p-adic -probability space For S ∈ and a generating operator of one has that:
by (19)
for some in for S ∈
Proposition 5.
Let S ∈ and = ∈ for a fixed j ∈ Then, there exists ∈ such that:
and:
Proof.
Remark that the generating operator is a projection in in the sense that:
so,
As a corollary of (28), one obtains the following corollary.
Corollary 1.
6. Semigroup -Subalgebras of
Let be the p-adic -algebra (23) for an arbitrarily-fixed p ∈ . Take operators:
where are the boundaries (10) of for the fixed prime for all j ∈
Then, these operators of (30) are projections on the p-adic Hilbert space in i.e.,
for all j ∈ We now restrict our interest to these projections of (30).
Definition 6.
Fix p ∈ Let be the -subalgebra:
where are projections (30), for all j ∈ We call this -subalgebra the p-adic boundary (-)subalgebra of .
The p-adic boundary subalgebra of the p-adic -algebra satisfies the following structure theorem.
Proposition 6.
Proof.
The proof of (32) is done by the mutual orthogonality of the projections in Indeed, one has:
in for all ∈ □
7. Weighted-Semicircular Elements
Let be the p-adic -algebra, and let be the p-adic boundary subalgebra (31) of satisfying the structure theorem (32). Fix p ∈ Recall that the generating projections of satisfy:
by (33) (also see (28) and (29)).
Now, let be the Euler totient function, an arithmetic function:
defined by:
for all n ∈ where mean the cardinalities of sets X and gcd is the greatest common divisor.
It is well known that:
for all n ∈ where “” means “q divides ” For instance,
Thus:
by (34), (35), and (36), for all ∈ More generally,
Now, for a fixed prime define new linear functionals on by linear morphisms satisfying that:
for all j ∈ where are in the sense of (33).
Then, one obtains new (non-traditional) -probabilistic structures,
where are in the sense of (38).
Proposition 7.
Let = be in the sense of (39), and let be generating operators of for p ∈ j ∈ Then:
Proof.
7.1. Semicircular and Weighted-Semicircular Elements
Let be an arbitrary (traditional or non-traditional) topological *-probability space (-probability space, or -probability space, or Banach *-probability space, etc.), consisting of a (noncommutative, resp., commutative) topological *-algebra A (-algebra, resp., -algebra, resp., Banach *-algebra, etc.), and a (bounded or unbounded) linear functional on
Definition 7.
Let a be a self-adjoint element in It is said to be even in , if all odd free moments of a vanish, i.e.,
Let a be a “self-adjoint,” and “even” element of satisfying (41). Then, it is said to be semicircular in if:
where are the Catalan number,
for all k ∈ = ∪
It is well known that, if is the free cumulant on Ain terms of a linear functional (in the sense of [14]), then a self-adjoint element a is semicircular in if and only if:
for all n ∈ (e.g., see [14]). The above equivalent free-distributional data (43) of the semicircularity (42) are obtained by the Möbius inversion of [14].
Motivated by (43), one can define the weighted-semicircularity.
Definition 8.
Let a ∈ be a self-adjoint element. It is said to be weighted-semicircular in with its weight (in short, -semicircular), if there exists ∈ = \ such that:
for all n ∈ where is the free cumulant on A in terms of φ.
By the definition (44) and by the Möbius inversion of [14], one obtains the following free-moment characterization (45) of the weighted-semicircularity (44): A self-adjoint element a is -semicircular in if and only if there exists ∈ , such that:
where:
for all n ∈ , where are the Catalan numbers for all m ∈ .
7.2. Tensor Product Banach *-Algebra
Let = be a (non-traditional) -probability space (39), for p ∈ k ∈ Define bounded linear transformations and “acting on the p-adic boundary subalgebra of ” by linear morphisms satisfying,
and:
on for all j ∈
By (46), these linear transformations and are bounded under the operator-norm induced by the -norm on Therefore, the linear transformations and are regarded as Banach-space operators “acting on ” by regarding as a Banach space (under its -norm). i.e., and are elements of the operator space consisting of all bounded operators on the Banach space
Definition 9.
The Banach-space operators and of (46) are called the p-creation, respectively, the p-annihilation on for p ∈ Define a new Banach-space operator ∈ by:
We call it the p-radial operator on
Let be the p-radial operator of (47) on . Construct a closed subspace of by:
where means the operator-norm-topology closure of every subset Y of the operator space
By the definition (48), is not only a closed subspace, but also a well-defined Banach algebra embedded in the vector space On this Banach algebra , define the adjoint (*) by:
where ∈ with their conjugates ∈
Definition 10.
Let be a Banach *-algebra (48) in the operator space for p ∈ We call it the p-radial (Banach-*-)algebra on
Let be the p-radial algebra (48) on Construct now the tensor product Banach *-algebra by:
where is the tensor product of Banach*-algebras (Remark that is a -algebra and is a Banach *-algebra; and hence, the tensor product Banach *-algebra of (50) is well-defined.).
Take now a generating element for some k ∈ = ∪ and j ∈ where is in the sense of (30) in , with axiomatization:
in satisfying:
for all j ∈
By (50) and (32), the elements indeed generate under linearity, because:
for all k ∈ and j ∈ , for p ∈ and their self-adjointness. We now focus on such generating operators of
Define a linear morphism:
by a linear transformation satisfying that:
for all k ∈ j ∈ where is the minimal integer greater than or equal to for all k ∈ ; for example,
By the cyclicity (48) of the tensor factor of and by the structure theorem (32) of the other tensor factor of , the above morphism of (51) is a well-defined bounded surjective linear transformation.
Now, consider how our p-radial operator of (47) works on Observe first that: if and are the p-creation, respectively, the p-annihilation on then:
for all j ∈ p ∈ and hence:
Lemma 1.
Let be the p-creation, respectively, the p-annihilation on Then:
and:
for all ∈
Thus, one obtains the following proposition.
Proposition 8.
Let ∈ be the p-radial operator on Then:
for all m ∈
7.3. Weighted-Semicircular Elements in
Fix p ∈ , and let = be the tensor product Banach *-algebra (50) and be the linear transformation (51) from onto Throughout this section, fix a generating element:
for j ∈ where is a projection (30) generating Observe that:
for all n ∈ for all j ∈
By the bounded-linearity of both and , the morphism of (60) is a bounded linear functional on
Theorem 1.
8. Semicircularity on
For all p ∈ j ∈ let:
be a Banach *-probabilistic model of the Banach *-algebra of (50), where is the linear functional (60).
Definition 11.
We call the pairs of (64) the p-adicfilters, for all p ∈ j ∈
Let = be the generating elements of the p-adic filter of (64), for all k∈ , for fixed p ∈ j ∈ . Then, the generating elements of the p-adic filter satisfy that:
and:
for all p ∈ j ∈ for all n ∈ by (62) and (63), where:
for all n ∈
For the family:
of p-adic filters of (64), one can define the free product Banach*-probability space,
as in [14,15], with:
Note that the pair = of (66) is a well-defined “traditional or noncommutative” Banach *-probability space. For more about the (free-probabilistic) free product of free probability spaces, see [14,15].
Definition 12.
The Banach *-probability space = of (66) is called the free Adelic filtration.
Let be the free Adelic filtration (66). Then, by (65), one can take a subset:
of consisting of “” generating elements of the “” p-adic filters which are the free blocks of for all j ∈ for all p ∈
Lemma 2.
Let be the above family in the free Adelic filtration Then, all elements of are -semicircular in the free Adelic filtration
Proof.
Since all self-adjoint elements of the family are chosen from mutually-distinct free blocks of they are -semicircular in Indeed, since every element ∈ is from a free block the powers are free reduced words with their lengths-N in in Therefore, each element ∈ satisfies that:
equivalently,
for all n ∈ by (62) and (63), where is the free cumulant on in terms of Therefore, all elements ∈ are -semicircular in for all p ∈ j ∈ □
Furthermore, since all -semicircular elements ∈ are taken from the mutually-distinct free blocks of they are mutually free from each other in the free Adelic filtration of (66), for all p ∈ j ∈
Recall that a subset S= of an arbitrary (topological or pure-algebraic) *-probability space is said to be a free family, if, for any pair ∈ of ≠ in a countable (finite or infinite) index set the corresponding free random variables and are free in (e.g., [7,14]).
Definition 13.
Let S= be a free family in an arbitrary topological *-probability space This family S is said to be a free (weighted-)semicircular family, if it is not only a free family, but also a set consisting of all (weighted-)semicircular elements in for all t ∈
Therefore, by the construction (66) of the free Adelic filtration , we obtain the following result.
Theorem 2.
Proof.
Let be a subset (67) in Then, all elements of are -semicircular in by the above lemma, for all p ∈ j ∈ . Furthermore, all elements of are mutually free from each other in because they are contained in the mutually-distinct free blocks of for all p ∈ j ∈ Therefore, the family of (67) is a free weighted-semicircular family in . □
Now, take elements:
in where ∈ , where is the free weighted-semicircular family (67) in the free Adelic filtration
Then, by the self-adjointness of these operators of (68) are self-adjoint in as well, because:
satisfying = for all p ∈ j ∈
Furthermore, one obtains the following free-cumulant computation; if is the free cumulant on in terms of then:
by the bimodule-map property of the free cumulant (e.g., see [14]), for all n ∈ , where are the free cumulants (63) on the free blocks in terms of the linear functionals of (60) on for all p ∈ j ∈
Theorem 3.
Let = be free random variables (68) of the free Adelic filtration for ∈ Then, the family:
forms a free semicircular family in
Proof.
Consider that:
by the -semicircularity of ∈ in :
for all n ∈
By the free-cumulant computation (71), these self-adjoint free random variables ∈ are semicircular in by (43), for all p ∈ j ∈
Furthermore, the family of (70) forms a free family in because all elements are the scalar-multiples of ∈ contained in mutually-distinct free blocks of for all j ∈ p ∈
Therefore, this family of (70) is a free semicircular family in □
Now, define a Banach *-subalgebra of by:
where is the free weighted-semicircular family (67) and means the Banach-topology closures of subsets Y of
Then, one can obtain the following structure theorem for the Banach *-algebra of (72) in
Theorem 4.
Let be the Banach *-subalgebra (72) of the free Adelic filtration generated by the free weighted-semicircular family of (67). Then:
where Θ is the free semicircular family (70) and where “=” means “being identically same as sets.” Moreover,
in where “” means “being Banach-*-isomorphic,” and:
for all p ∈ j ∈ in
Proof.
Let be the Banach *-subalgebra (72) of Then, all generating operators ∈ of are contained in mutually-distinct free blocks of and hence, the Banach *-subalgebras of are contained in the free blocks for all p ∈ j ∈ Therefore, as embedded sub-structures of they are free from each other. Equivalently,
by (66).
Since every free block of the Banach *-algebra of (75) is generated by a single self-adjoint (weighted-semicircular) element, every operator T of is a limit of linear combinations of free words in the free family of (67), which form noncommutative free “reduced” words (in the sense of [14,15]), as operators in of (75). Note that every (pure-algebraic) free word in has a unique free reduced word in under operator-multiplication on (and hence, on ). Therefore, the *-isomorphic relation (75) guarantees that:
where the free product (⋆) in (76) is pure-algebraic.
Remark that, indeed, the relation (76) holds well, because all weighted-semicircular elements of are self-adjoint; if:
is a free (reduced) word (as an operator), then:
is a free word of in as well. Therefore, by (75) and (76), the structure theorem (74) holds true.
As a sub-structure, one can restrict the linear functional of (66) on to that on i.e., one can obtain the Banach *-probability space,
Definition 14.
Let be the Banach *-probability space (80). Then, we call the semicircular (free Adelic sub-)filtration of
Note that, by (66), all elements of the semicircular filtration provide “possible” non-vanishing free distributions in the free Adelic filtration Especially, all free reduced words of in the generator set have non-zero free distributions only if they are contained in Therefore, studying free-distributional data on is to study possible non-zero free-distributional data on
9. Truncated Linear Functionals on
In number theory, one of the most interesting, but difficult topics is to find a number of primes or a density of primes contained in closed intervals of the real numbers (e.g., [3,6,21,22]). Since the theory is deep, we will not discuss more about it here. Hhowever, motivated by the theory, we consider certain “suitable” truncated linear functionals on our semicircular filtration of (80) in the free Adelic filtration of (66).
Notation: From below, we will use the following notations to distinguish their structural differences;
□
9.1. Linear Functionals on
Let be the semicircular filtration of the free Adelic filtration . Furthermore, let and be the free weighted-semicircular family (67), respectively, the free semicircular family (70) of generating by (73) and (74). We here truncate on for a fixed real number t ∈ .
First, recall and remark that:
by (66) and (80). Therefore, one can sectionize over as follows;
with:
where:
for each p ∈ under (74).
From below, we understand the Banach *-subalgebras of as free-probabilistic sub-structures,
Lemma 3.
Let be in the sense of (82) in the semicircular filtration for l = Then, and are free in if and only if ≠ in
Proof.
Therefore, and are free in if and only if ≠ in □
Fix now t ∈ and define a new linear functional on by:
where are the linear functionals (81) on the Banach *-subalgebras of (82) in for all p ∈ and O means the zero linear functional on satisfying that:
For convenience, if there is no confusion, we simply write the definition (84) as:
By the definition (84) (with a simpler expression (85)), one can easily verify that, if t< 2 in then the corresponding linear functional is identical to the zero linear functional O on To avoid such triviality, one may refine of (84) by:
for all
In the following text, mean the linear functionals in (86), satisfying (84) whenever for all In fact, we are not interested in the cases where
For example,
on under (85), etc.
Theorem 5.
Let ∈ and ∈Θ in the semicircular filtration , for p ∈ j ∈ and let t ∈ and the corresponding linear functional (86) on . Then:
and:
for all n ∈
Proof.
By the -semicircularity of ∈ , the semicircularity of ∈ in the semicircular filtration and by the definition (86), if in then:
and:
by (62), (71), and (81), for all n ∈
If t < then:
Therefore, the free-distributional data (87) for the linear functional hold on . □
The above theorem shows how the original free-probabilistic information on the semicircular filtration is affected by the new free-probabilistic models on under “truncated” linear functionals of on for t ∈
Definition 15.
Let be the linear functionals (86) on for t ∈ Then, the corresponding new Banach *-probability spaces,
are called the semicircular t-(truncated-)filtrations of (or, of ).
Note that if t is “suitable” in the sense that “≠O on ” then the free-probabilistic structure of (88) is meaningful.
Notation and Assumption 9.1 (NA 9.1, from below): In the following, we will say “t ∈ is suitable,” if the semicircular t-filtration “ of (88) is meaningful,” in the sense that: ≠O fully on □
Now, let us consider the following concepts.
Definition 16.
Let be Banach *-probability spaces (or -probability spaces, or -probability spaces, etc.), for k= A Banach *-probability space is said to be free-homomorphic to a Banach *-probability space if there exists a bounded *-homomorphism:
Φ:
such that:
for all a ∈ Such a *-homomorphism Φ is called a free-homomorphism.
If Φ is both a *-isomorphism and a free-homomorphism, then Φ is said to be a free-isomorphism, and we say that and are free-isomorphic. Such a free-isomorphic relation is nothing but the equivalence in the sense of Voiculescu (e.g., [15]).
By (87), we obtain the following free-probabilistic-structural theorem.
Theorem 6.
Let = be Banach *-subalgebras (82) of for all q ∈ Let t ∈ be suitable in the sense ofNA 9.1and be the corresponding semicircular t-filtration (88). Construct a Banach *-probability space by a Banach *-probabilistic sub-structure of the semicircular filtration ,
where = are in the sense of (81). Then:
Proof.
Let be the semicircular t-filtration (88) of and let be a Banach *-probability space (89), for a suitably fixed t ∈
Define a bounded linear morphism:
by the natural embedding map,
The above theorem shows that the Banach *-probability spaces of (89) are free-homomorphic to the semicircular t-filtrations of (88), for all t ∈ Note that it “seems” they are not free-isomorphic, because:
set-theoretically, for t ∈ However, we are not sure at this moment that they are free-isomorphic or not, because we have the similar difficulties discussed in [19].
Remark 3.
The famous main result of [19] says that: if are the free group factors (group von Neumann algebras) of the free groups with n-generators, for all:
then either (I) or (II) holds true, where:
- (I)
- for all n ∈
- (II)
- if and only if ∈
where “” means “being -isomorphic.” Depending on the author’s knowledge, he does not know which one is true at this moment.
We here have similar troubles. Under the similar difficulties, we are not sure at this moment that and (or and ) are *-isomorphic or not (and hence, free-isomorphic or not).
However, definitely, is free-homomorphic “into” in the semicircular filtration by the above theorem.
The above free-homomorphic relation (90) lets us understand all
“non-zero” free distributions of free reduced words of as those of for all t ∈ by the injectivity of a free-homomorphism of (91).
Corollary 2.
All free reduced words T of the semicircular t-filtration in ∪ having non-zero free distributions, are contained in the Banach *-probability space of (89), whenever t is suitable. The converse holds true, as well.
Proof.
Therefore, whenever we consider a non-zero free-distribution having free reduced words T of semicircular t-filtrations , they are regarded as free random variables of the Banach *-probability spaces of (89), for all suitable t ∈
9.2. Truncated Linear Functionals on
In this section, we generalize the semicircular t-filtrations by defining so-called truncated linear functionals on the Banach *-algebra .
Throughout this section, let be a closed interval in satisfying:
For such a fixed closed interval define the corresponding linear functional on the semicircular filtration by:
where are the linear functionals (81) on the Banach *-subalgebras of (82) in for p ∈ Similar to Section 9.1, if there is no confusion, then we simply write the definition (92) as:
To make the linear functionals of (92) be non-zero-linear functionals on the interval must be taken “suitably.” For example,
and:
but:
and:
under (93) on
It is not difficult to check that the definition (92) of truncated linear functionals covers the definition of linear functionals of (86). In particular, is “suitable” in the sense of NA 9.1, then:
For our purposes, we will axiomatize:
notationally, where are the linear functionals (81), for all p ∈ under (93). Remark that the very above axiomatized notations will be used only when p are primes.
Definition 17.
Let be a given interval in and , the corresponding linear functional (92) on Then, we call it the (-truncated)-linear functional on The corresponding Banach *-probability space:
is said to be the semicircular a (-truncated)-filtration.
As we discussed in the above paragraphs, the semicircular -filtration of (94) will be “meaningful,” if are suitable in as in NA 9.1.
Notation and Assumption 9.2 (NA 9.2, from below): In the rest of this paper, if we write “ are suitable,” then this means “ is meaningful,” in the sense that ≠O fully on with additional axiomatization:
in the sense of (93). □
Theorem 7.
Let ≤ 2 and be suitable in in the sense ofNA 9.1.
Proof.
Suppose ≤ and are suitable in in the sense of NA 9.1. Then, are suitable in in the sense of NA 9.2. Therefore, both the semicircular -filtration and the semicircular -filtration are meaningful.
Since is assumed to be less than or equal to two, the linear functional = by (86) and (92), including the case where in the sense of (93). Therefore,
Therefore, and are free-isomorphic under the identity map on , acting as a free-isomorphism. Therefore, the statement (95) holds.
The above theorem characterizes the free-probabilistic structures for semicircular -filtrations whenever and are suitable, by (95) and (96). Therefore, we now restrict our interests to the cases where:
Therefore, we focus on the semicircular -filtration where:
in the sense of NA 9.2.
Theorem 8.
Let be suitable in and let be the semicircular -filtration (94). Then, the Banach *-probability space:
equipped with its linear functional = , is free-homomorphic to in i.e., if 2 ≤ are suitable in
Proof.
Let be in the sense of (97) in the semicircular filtration i.e.,
as a free-probabilistic sub-structure of the semicircular filtration
By (94), one can define the embedding map from into satisfying:
Then, for any T ∈ one can get that:
Therefore, the Banach *-probability space is free-homomorphic to in Therefore, the relation (98) holds. □
Remark again that we are not sure if and are free-isomorphic, or not, at this moment (see Remark 9.1 above). However, similar to (90), one can verify that all free reduced words T of have non-zero free distributions embedded in and conversely, all free reduced words of having non-zero free distributions are contained in
Corollary 3.
Let T be a free reduced word of the semicircular -filtration in ∪ and assume that the free distribution of T is non-zero for . Then, T is an element of the Banach *-probability space of (97). The converse holds true. □
9.3. More about Free-Probabilistic Information on
In this section, we discuss more about free-probabilistic information in semicircular -filtrations for < ∈ (which are not necessarily suitable in the sense of NA 9.2).
First, let us mention about the following trivial cases.
Proposition 9.
Let be the semicircular -filtration for in
Proof.
Even though the above results (99) and (100), themselves, are trivial, they illustrate how our original (non-zero) free-distributional data on the semicircular filtration are distorted under our “unsuitable” truncations.
Now, suppose are suitable in and:
in the sense that: is big “enough” in The existence of such suitable intervals in is guaranteed by the prime number theorem (e.g., [5,6]).
More precisely, let us collect all suitable pairs in i.e.,
and consider its boundary.
First, consider that if p→∞ in (under the usual total ordering on inherited by that on ), then:
for an arbitrarily-fixed j ∈
Theorem 9.
Let and be monotonically “strictly”-increasing -sequences, satisfying:
for all n ∈ By the suitability, there exists at least one prime ∈ such that:
where the corresponding -sequence is monotonically increasing.
Let be the corresponding -semicircular element in the free weighted-semicircular family , as a free random variable of the semicircular -filtration where are the primes of (102), for all n ∈ for any j ∈ Then:
for all k ∈
Proof.
The above estimation (103) illustrates the asymptotic free-distributional data of our -semicircular elements (for a fixed j), under our suitable truncations, as p→∞ in
Corollary 4.
Let be suitable in underNA 9.2, be suitably big (i.e., →∞) in and j≤ be arbitrarily fixed in Then, there exists ∈ such that:
where:
for all n ∈
Under the same hypothesis, if j> in then:
for all n ∈
10. Semicircularity of Certain Free Sums in
As in Section 9, we will let be the Banach *-subalgebra (72) of the free Adelic filtration and let be the semicircular filtration of (80).
Let be an arbitrary topological *-probability space and a ∈ We say a free random variable a is a free sum in if:
and the summands …, of a are free from each other in for N ∈ \
Let be suitable in in the sense of NA 9.2, and let be the corresponding semicircular -filtration. Now, we define free random variables X and Y of
for ∈ and ∈ for all l= …, for N ∈ \
Remark that, the operator X (or Y) of (107) is a free sum in , if and only if the summands (resp., ), which are the free reduced words with their lengths one, are free from each other in , if and only if (resp., ) are contained in the mutually-distinct free blocks of by (74), if and only if the pairs are mutually distinct from each other in the Cartesian product for all l= …, i.e., the given operators X and Y of (107) are free sums in if and only if:
for all ≠ in …,
Lemma 4.
Let X and Y be in the sense of (107) in the semicircular filtration Assume that the pairs are mutually distinct from each other in for all l= …, for N ∈ \ Then:
and:
Proof.
Let X and Y be given as above in By the assumption that the pairs are mutually distinct from each other in these operators X and Y satisfy the condition (108); equivalently, they are free sums in
Therefore, one has that:
by the -semicircularity of ∈ for all l= …,
Similarly, one can get that:
by the semicircularity of ∈ for all l= …, □
Now, for the operators X and Y of (107), we consider how our truncation distorts the free-distributional data (109).
For a given closed interval in where are suitable in we define:
and:
in
By (110), the family forms a partition of the set of all primes for the fixed interval Of course, if are not suitable, then:
Theorem 10.
Proof.
The proof of (111) is done by (95), (96), (98), and (109). Indeed, if:
where is in the sense of (110), and if:
then:
by (98)
by the -semicircularity of ∈ .
Similarly, one can get that:
by the semicircularity of ∈ Therefore, the free-distributional data (111) holds, whenever:
Definitely, if:
then:
Therefore, the truncated free-distributional data (111) hold. □
Remark 4.
Let be a fixed prime in Choose ∈ such that: (i) these quantities and satisfy:
and (ii) is the only prime in the closed interval in
By the Archimedean property on (or the axiom of choice), the existence of such interval satisfying (i) and (ii) for the fixed prime is guaranteed; however, the choices of the quantities are of course not unique.
Definition 18.
Let ∈ and let ∈ be the real numbers satisfying the conditions (i) and (ii) of the above paragraph. Then, the suitable closed interval is called a -neighborhood.
Depending on prime-neighborhoods, one can obtain the following semicircularity condition on our semicircular truncated-filtrations.
Corollary 5.
Let p ∈ be a p-neighborhood in and be the corresponding semicircular -filtration. If X and Y are free sums formed by (107) in the semicircular filtration then:
and:
where δ is the Kronecker delta.
Proof.
More general to (112), we obtain the following result.
Proposition 10.
Let p ∈ and be a p-neighborhood in and let be the corresponding semicircular -filtration. Then, a free random variable T ∈ has its non-zero free distribution, if and only if there exists a non-zero summand of such that:
where = is a Banach *-subalgebra (82) of
Proof.
By (98), if T ∈ has its non-zero free distribution, then there exists a non-zero summand of T which can be a linear combination of free reduced words contained in and hence,
where are in the sense of (82), for q ∈
Clearly, the converse holds true as well, by (98).
Theorem 11.
Let = and = be in the sense of (107) in the semicircular filtration and assume that are mutually distinct in for l= …, for N ∈ \ Suppose we fix:
and take a -neighborhood in Then:
where is the semicircular -filtration.
Proof.
Let and be given as above in , and fix ∈ …, Note that, by the assumption, these operators and form free sums in the semicircular filtration having N-many summands. Note also that they are self-adjoint in by the self-adjointness of their summands.
By (113), if an operator T has its non-zero free distribution in the semicircular -filtration where is a -neighborhood in , then it must have its non-zero summand
By the very construction of and they contain their summands,
∈ in
Consider now that:
and similarly,
for all n ∈
The above theorem shows that, if there is a free sum T in the semicircular filtration and if we “nicely” truncate the linear functional on then one can focus on the non-zero summand of whose the free distribution not only determines the truncated free distribution of but also follows the (weighted-)semicircular law.
11. Applications of Prime-Neighborhoods
In Section 9, we considered the semicircular truncated-filtrations for ∈ and studied how -truncations on affect, or distort, the original free-distributional data on the semicircular filtration = . As a special case, in Section 10, we introduced p-neighborhoods for primes p and considered corresponding truncated free distributions on
In this section, by using prime-neighborhoods, we provide a completely “new” model of truncated free probability on and study how the original free-distributional data on are distorted under this new truncation model.
Let us now regard the set of all primes as a totally ordered set (a TOset),
under the usual inequality (≤) on , i.e.,
Let be our truncated linear functionals of (92) on the Banach *-algebra , i.e.,
Then, by the truncated linear functionals of (123), one can have the corresponding semicircular -filtrations,
for all k ∈
Let F be a “finite” subset of the TOset of (121), and for such a set define a new linear functional on induced by the system of (125), by:
Before proceeding, let us consider the following result obtained from (113).
Lemma 5.
Let p ∈ and be a p-neighborhood in and let be the semicircular -filtration. Let = be the linear functional (81) on the Banach *-subalgebra of (82) in the semicircular filtration Define a linear functional on the Banach *-algebra by:
for all T ∈ Then, the Banach *-probability space is free-isomorphic to i.e.,
Proof.
Under the hypothesis, it is not hard to check:
Therefore, the identity map on becomes a free-isomorphism from onto □
If a finite subset F is a singleton subset of then the free probability on determined by the corresponding linear functional of (126) is already considered in Section 10 and in (127). Therefore, we now restrict our interests to the cases where finite subsets F have more than one element in
Lemma 6.
Proof.
The proof of (128) is done by (126) and (127) because:
are free-isomorphic for all ∈ Therefore, the linear functional of (126) satisfies that:
= = on .
Theorem 12.
Let T = or S = be a free reduced word of with its length- for N ∈ . If:
then:
While, if ≠⌀ in then:
respectively,
where mean the cardinalities of sets
Author Contributions
The authors contributted equally in this article.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflict of interest.
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