Abstract
In this paper, we study asymptotic semicircular laws induced both by arbitrarily fixed -probability spaces, and p-adic number fields , as p→ ∞ in the set of all primes.
1. Introduction
The main purposes of this paper are (i) to establish tensor product -probability spaces
induced both by arbitrary unital -probability spaces and by analytic structures acting on p-adic number fields for all primes p in the set of all primes, where j ∈ (ii) to consider free-probabilistic structures of (i) affected both by the free probability on and by the number theory on for all p ∈ (iii) to study asymptotic behaviors on the structures of (i) as p→ ∞ in based on the results of (ii), and (iv), and then investigate asymptotic semicircular laws from the free-distributional data of (iii).
Our main results illustrate cross-connections among number theory, representation theory, operator theory, operator algebra theory, and stochastic analysis, via free probability theory.
1.1. Preview and Motivation
Relations between primes and operators have been studied in various different approaches. In [1], we studied how primes act on operator algebras induced by dynamical systems on p-adic, and Adelic objects. Meanwhile, in [2], primes are acting as linear functionals on arithmetic functions, characterized by Krein-space operators.
For number theory and free probability theory, see [3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22], respectively.
In [23], weighted-semicircular elements, and semicircular elements induced by p-adic number fields are considered by the author and Jorgensen, for each p ∈ , statistically. In [24], the author extended the constructions of weighted-semicircular elements of [23] under free product of [15,22]. The main results of [24] demonstrate that the (weighted-)semicircular law(s) of [23] is (are) well-determined free-probability-theoretically. As an application, the free stochastic calculus was considered in [6].
Independent from the above series of works, we considered asymptotic semicircular laws induced by in [1]. The constructions of [1] are highly motivated by those of [6,23,24], but they are totally different not only conceptually, but also theoretically. Thus, even though the main results of [1] seem similar to those of [6,24], they indicate-and-emphasize “asymptotic” semicircularity induced by as . For example, they show that our analyses on not only provide natural semicircularity but also asymptotic semicircularity under free probability theory.
In this paper, we study asymptotic-semicircular laws over “both” primes and unital -probability spaces. Since we generalize the asymptotic semicircularity of [25] up to -algebra-tensor, the patterns and results of this paper would be similar to those of [25], but generalize-or-universalize them.
1.2. Overview
In Section 2, fundamental concepts and backgrounds are introduced. In Section 3, Section 4, Section 5 and Section 6, suitable free-probabilistic models are considered, where they contain p-adic number-theoretic information, for our purposes.
In Section 7, we establish-and-study -probability spaces containing both analytic data from and free-probabilistic information of fixed unital -probability spaces. Then, our free-probabilistic structure , a free product Banach ∗-probability space, is constructed, and the free probability on is investigated in Section 8.
In Section 9, asymptotic behaviors on are considered over and they analyze the asymptotic semicircular laws on over in Section 10.
2. Preliminaries
In this section, we briefly mention backgrounds of our proceeding works.
2.1. Free Probability
See [15,22] (and the cited papers therein) for basic free probability theory. Roughly speaking, free probability is the noncommutative operator-algebraic extension of measure theory (containing probability theory) and statistical analysis. As an independent branch of operator algebra theory, it is applied not only to mathematical analysis (e.g., [5,12,13,14,26]), but also to related fields (e.g., [18,27,28,29,30,31]).
Here, combinatorial free probability is used (e.g., [15,16,17]). In the text, free moments, free cumulants, and the free product of ∗-probability spaces are considered without detailed introduction.
2.2. Analysis on
For p-adic analysis and Adelic analysis, see [21,22]. We use definitions, concepts, and notations from there. Let p ∈ be a prime, and let be the set of all rational numbers. Define a non-Archimedean norm called the p-norm on by
for all x = ∈ where a ∈ and b ∈ ∖
The normed space is the maximal p-norm closures in i.e., the set forms a Banach space, for p ∈ (e.g., [22]). Each element x of is uniquely expressed by
for N ∈ , decomposed by
If x = in then x is said to be a p-adic integer, and it satisfies ≤ Thus, one can define the unit disk of
For the p-adic addition and the p-adic multiplication in the sense of [22], the algebraic structure forms a field, and hence, is a Banach field.
Note that is also a measure space,
equipped with the -algebra of , and a left-and-right additive invariant Haar measure on satisfying
If we take
in for all k ∈ then these subsets ’s of (1) satisfy
and
for all x ∈ and
i.e., the family of (1) is a topological basis element of (e.g., [22]).
Define subsets ∈ by
for all k ∈
Such -measurable subsets of (3) are called the k-th boundaries (of ) in for all k ∈ By (2) and (3),
where ⊔ is the disjoint union, for all k ∈
Let be an algebraic algebra,
where are the usual characteristic functions of -measurable subsets S of . Thus, f ∈ if and only if
where ∑ is the finite sum. Note that the algebra of (5a) is a ∗-algebra over with its well-defined adjoint,
for ∈ with their conjugates in
If f ∈ is given as in (5b), then one defines the integral of f by
Remark that, by (5a), the integral (6a) is unbounded on i.e.,
by (2).
Note that, by (4), for each S ∈ there exists a corresponding subset of
satisfying
by (6a)
by (4), for the set of (7).
Remark again that the right-hand side of (8) can be ∞; for instance, = e.g., see (4), (6a) and (6b). By (8), one obtains the following proposition.
Proposition 1.
Let S ∈ and let ∈ Then, there exists ∈ such that
3. Statistical Models on
In this section, fix p ∈ , and let be the p-adic number field, and let be the ∗-algebra (5a). We here establish a suitable statistical model on with free-probabilistic language.
Let be the basis elements (1), and their boundaries (3) of i.e.,
for all k ∈ and
Define a linear functional :→ by the integration (6a), i.e.,
for all f ∈
Then, by (9), one obtains that = and = since = ∈ : k ≥ and = for all j ∈ where are in the sense of (7) for all S ∈
Definition 1.
The pair is called the p-adic (unbounded-)measure space for p ∈ where is the linear functional (11) on
Let be the k-th boundaries (10) of , for all k ∈ Then, for ∈ one obtains that
and hence,
Proposition 2.
Let …, ∈ for N ∈ Then,
and hence,
where
Proof.
The computation (13) is shown by the induction on (12). ☐
Recall that, for any S ∈
for some for j ∈ by (9). Thus, by (14), if ∈ then
where
by (4).
Proposition 3.
Let ∈ and let ∈ for l = …, for N ∈ Let
where are in the sense of (7), for l = …, Then, there exists ∈ such that
for all j ∈ and
Proof.
The proof of (16) is done by the induction on (15), and by (13). ☐
4. Representation of
Fix a prime p ∈ Let be the p-adic measure space. By understanding as a measure space, construct the -space,
over Then, this Hilbert space of (17) consists of all square-integrable elements of equipped with its inner product
for all ∈ Naturally, is has its -norm on
for all f ∈ where is the inner product (18a) on
Definition 2.
The Hilbert space of (17) is called the p-adic Hilbert space.
Our ∗-algebra acts on the p-adic Hilbert space via an action
for all f ∈ i.e., the morphism of (19a) is a ∗-homomorphism from to the operator algebra consisting of all Hilbert-space operators on For instance,
for all h = ∈ with < for ∈ even though ∉
Indeed, It is not difficult to check that
Notation 1.
Denote by for all f ∈ In addition, for convenience, denote simply by for all S ∈
Note that, by (19b), one can have a well-defined operator = in , and it satisfies that
where ∈ is the identity operator on
Proposition 4.
The pair is a Hilbert-space representation of
Proof.
It suffices to show that is an algebra-action of on However, this morphism is a ∗-homomorphism from into by (20a). ☐
Definition 3.
The Hilbert-space representation is called the p-adic representation of
Depending on the p-adic representation of one can define the -subalgebra of as follows.
Definition 4.
Let be the operator-norm closure of ,
in where are the operator-norm closures of subsets X of This -algebra is said to be the p-adic -algebra of
By (21), the p-adic -algebra is a unital -algebra contains its unity (or the unit, or the multiplication-identity) = by (20b).
5. Statistics on
In this section, fix p ∈ and let be the corresponding p-adic -algebra of (21). Define a linear functional :→ by
for ∈ where is the inner product (4.2) on the p-adic Hilbert space of (4.1), and are the boundaries (3.1) of for all j ∈ It is not hard to check such a linear functional on is bounded, since
for all S ∈ for any fixed j ∈
Definition 5.
Let be bounded linear functionals (22a) on the p-adic -algebra for all j ∈ Then, the pairs are said to be the j-th p-adic -measure spaces, for all j ∈
Thus, one can get the system
of the j-th p-adic -measure spaces ’s.
Note that, for any fixed j ∈ and the unity
satisfies that
Thus, the j-th p-adic -measure space is a bounded-measure space, but not a probability space, in general.
Proposition 5.
Let S ∈ and ∈ for a fixed j ∈ Then, there exists ∈ such that
and
Proof.
Remark that the element is a projection in in the sense that:
and hence,
for all n ∈ Thus, we obtain the formula (24) by (22b). ☐
As a corollary of (24), one obtains that, if is a k-th boundaries of then
for all n ∈ for k ∈
6. The -Subalgebra of
Let be the p-adic -algebra for p ∈ . Let
for all j ∈ By (24) and (25), these operators of (26) are projections on the p-adic Hilbert space , in for all p ∈ j ∈
Definition 6.
Let p ∈ and let be the -subalgebra
where are in the sense of ((26)), for all j ∈ We call the p-adic boundary (-)subalgebra of .
Proposition 6.
If is the p-adic boundary subalgebra (27), then
in the p-adic -algebra
Proof.
It is enough to show that the generating operators of are mutually orthogonal from each other. It is not hard to check that
in for all ∈ Therefore, the structure theorem (28) is shown. ☐
By (27), one can define the measure spaces,
for p ∈ where the linear functionals of (29) are the restrictions of (22a), for all p ∈ j ∈
7. On the Tensor Product -Probability Spaces
In this section, we define and study our main objects of this paper. Let be an arbitrary unital -probability space (e.g., [22]), satisfying
where is the unity of a -algebra In addition, let
be the p-adic -measure spaces (29), for all p ∈ j ∈
Fix now a unital -probability space and p ∈ j ∈ Define a tensor product -algebra
and a linear functional on by a linear morphism satisfying
for all a ∈ and k ∈
Note that, by the structure theorem (28) of the p-adic boundary subalgebra
by (31).
By (33), one can verify that a morphism of (32) is indeed a well-defined bounded linear functional on
Definition 7.
For any arbitrarily fixed p ∈ j ∈ let be the tensor product -algebra (31), and the linear functional (32) on Then, we call the A-tensor p-adic boundary algebra. The corresponding structure,
is said to be the j-th p-adic A-(tensor -probability-)space.
Note that, by (22a), (22b) and (32), the j-th p-adic A-space of (34) is not a “unital” -probability space, even though is. Indeed, the -algebra of (31) has its unity satisfying
for j ∈
Remark that, by (32),
for all a ∈ and k ∈ Thus, by abusing notation, one may write the definition (32) by
in the sense of (35a), for all p ∈ j ∈
Proposition 7.
Let a ∈ and , the k-th generating projection of for all k ∈ and let be the corresponding free random variable of the j-th p-adic A-space for j ∈ . Then,
for all n ∈ .
Proof.
Let = be a given free random variable of Then,
and hence
by (35a)
for all n ∈ Therefore, the free-distributional data (36) holds. ☐
Suppose a is a “self-adjoint” free random variable in in the above proposition. Then, formula (36) completely characterizes the free distribution of in the j-th p-adic A-space of (34), i.e., the free distribution of is characterized by the sequence,
for all p ∈ and k ∈ because is self-adjoint in too.
It illustrates that the free probability on is determined both by the free probability on and by the statistical data on of (30) (implying p-adic analytic information), for p ∈ j ∈
Notation.
From below, for convenience, let’s denote the free random variables of with a ∈ and k ∈ by i.e.,
for all p ∈ j ∈
In the proof of (36), it is observed that
for all n ∈ More generally, the following free-distributional data is obtained.
Theorem 1.
Fix p ∈ and j ∈ and let be the j-th p-adic A-space (34). Let ∈ for l = …, for N ∈ Then,
for all …, ∈
Proof.
Let = be free random variables of for l = …, Then, by (37),
for all l = …, Thus,
in with
Therefore,
by (35a). Thus, the joint free-distributional data (38) holds. ☐
Definitely, if N = 1 in (38), one obtains the formula (36).
8. On the Banach ∗-probability Spaces
Let be an arbitrarily fixed unital -probability space, and let be in the sense of (30), for all p ∈ j ∈ Then, one can construct the tensor product -probability spaces, the j-th p-adic A-space,
of (34), for p ∈ j ∈
Throughout this section, we fix p ∈ j ∈ and the corresponding j-th p-adic A-space In addition, we keep using our notation for the free random variables of for all a ∈ and k ∈ where are the generating projections (26) of the p-adic boundary subalgebra
Recall that, by (36) and (38),
Now, let be the Euler totient function,
defined by
for all n ∈ where are the cardinalities of sets and gcd is the greatest common divisor.
By the definition (40),
for all n ∈ where “” means “ q divides ” Thus,
by (40) and (41).
By (42), we have
for ∈ and hence,
for all ∈ by (39).
Let’s consider the following estimates.
Lemma 1.
Let ϕ be the Euler totient function (40). Then,
for all j ∈ , where “p→∞” means “p is getting bigger and bigger in ”
Proof.
Observe that
by (42). Thus, one can get that
for j ∈ Thus,
where are the absolute values of j ∈ Thus, the estimation (44) holds. ☐
8.1. Semicircular Elements
Let be an arbitrary topological ∗-probability space (-probability space, or -probability space, or Banach ∗-probability space, etc.) equipped with a topological ∗-algebra B (-algebra, resp., -algebra, resp., Banach ∗-algebra), and a linear functional on
Definition 8.
A self-adjoint operator a ∈ B is said to be semicircular in if
and are the k-th Catalan numbers,
for all k ∈ = ∪
By [15,16,17], if is the free cumulant on B in terms of , then a self-adjoint operator a is semicircular in if and only if
for all n ∈ . The above characterization (46) of the semicircularity (45) holds by the Möbius inversion of [15]. For example, definition (45) and the characterization (46) give equivalent free distributions, the semicircular law.
If are semicircular elements in topological ∗-probability spaces for l = then the free distributions of are completely characterized by the free-moment sequences,
by the self-adjointness of and ; and by (45), one obtains that
Equivalently, the free distributions of the semicircular elements and are characterized by the free-cumulant sequences,
by (46), where are the free cumulants on in terms of , for all l =
It shows the universality of free distributions of semicircular elements. For example, the free distributions of any semicircular elements are universally characterized by either the free-moment sequence
or the free-cumulant sequence
Definition 9.
Let a be a semicircular element of a topological ∗-probability space The free distribution of a is called “the” semicircular law.
8.2. Tensor Product Banach ∗-algebra
Let = be the k-th p-adic A-space (34), for all p ∈ k ∈ Throughout this section, we fix p ∈ k ∈ , and In addition, denote by in for all a ∈ and j ∈
Define now bounded linear transformations and “acting on the tensor product -algebra ” by linear morphisms satisfying,
on for all j ∈
By the definitions (27) and (31), and by the structure theorem (33), the above linear morphisms and of (48) are well-defined on
By (48), one can understand and as bounded linear transformations contained in the operator space consisting of all bounded linear operators acting on by regarding the -algebra as a Banach space equipped with its -norm (e.g., [32]). Under this sense, the operators and of (48) are well-defined Banach-space operators on
Definition 10.
The Banach-space operators and on in the sense of (48), are called the A-tensor p-creation, respectively, the A-tensor p-annihilation on Define a new Banach-space operator by
We call this operator , the A-tensor p-radial operator on
Let be the A-tensor p-radial operator of (49) in . Construct a closed subspace of by
equipped with the inherited operator-norm from the operator space defined by
where is the -norm on the A-tensor p-adic algebra (e.g., [32]).
By the definition (50), the set is not only a closed subspace of but also an algebra over Thus, the subspace is a Banach algebra embedded in
On the Banach algebra of (50), define a unary operation (∗) by
where ∈ with their conjugates ∈
Then, the operation (51) is a well-defined adjoint on . Thus, equipped with the adjoint (51), this Banach algebra of (50) forms a Banach ∗-algebra in For example, all elements of are adjointable (in the sense of [32]) in
Let be in the sense of (50). Construct now the tensor product Banach ∗-algebra by
where is the tensor product of Banach ∗-algebras. Since is a -algebra, it is a Banach ∗-algebra too.
Take now a generating element for some n ∈ and j ∈ where = are in the sense of (37) in , with axiomatization:
the identity operator on in satisfying
for all T ∈ Define now a bounded 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 (50) of the tensor factor of and by the structure theorem (33) of the other tensor factor of , the above morphism of (53) is a well-defined bounded linear transformation from onto .
Now, consider how our A-tensor p-radial operator acts on First, observe that: if and are the A-tensor p-creation, respectively, the A-tensor p-annihilation on then
for all a ∈ and for all j ∈ p ∈ and, hence,
Lemma 2.
Let be the A-tensor p-creation, respectively, the A-tensor p-annihilation on Then,
on for all ∈
Proof.
The formulas in (55) hold by induction on (54). ☐
By (55), one can get that
with identity:
for all n ∈ , where
for all ∈ By (56), one obtains the following proposition.
Proposition 8.
Let ∈ be the A-tensor p-radial operator on Then,
for all m ∈
Proof.
The proofs of (57) and (58) are done by straightforward computations of (56) with the help of (55). ☐
8.3. Free-Probabilistic Information of in
Fix p ∈ , and a unital -probability space and let be the Banach ∗-algebra (52). Let :→ be the linear transformation (53). Throughout this section, let
for all j ∈ where = ∈ are in the sense of (37) generating for a ∈ and j ∈ Observe that
by (37), for all n ∈ for all j ∈ .
If ∈ is in the sense of (59) for j ∈ then
by (53) and (60), for all n ∈
For any fixed j ∈ define a linear functional on by
where = is a linear functional (35a), or (35b) on .
By the linearity of both and , the morphism of (62) is a well-defined linear functional on for j ∈ Thus, the pair forms a Banach∗-probability space (e.g., [22]).
Definition 11.
The Banach ∗-probability spaces
are called the A-tensor j-th p-adic (free-)filters, for all p ∈ j ∈ where are in the sense of (62).
By (61) and (62), if is in the sense of (59) in , then
for all n ∈ .
Theorem 2.
Let = ⊗ = be a free random variable (59) of the A-tensor j-th p-adic filter of (63), for p ∈ j ∈ for all k ∈ Then,
where are in the sense of (45), for all n ∈
Proof.
Let be in the sense of (59) in for the fixed p ∈ and j ∈ Then,
by (62)
by (64)
by (56)
by (57), for all n ∈
Observe now that, for any n ∈
by (64)
by (56)
by (58)
by (39) and (43)
where are the n-th Catalan numbers.
If k≠ j in and if are in the sense of (59) in then
for all n ∈ by the definition (22a) of the linear functional on inducing the linear functional = on the tensor factor of
Therefore, the free-distributional data (65) holds true. ☐
Note that, if a is self-adjoint in then the generating operators of the A-tensor j-th p-adic filter are self-adjoint in since
for all k ∈ for p ∈ j ∈ by (51).
Thus, if a is a self-adjoint free random variable of then the above formula (65) fully characterizes the free distributions (up to ) of the generating operators of for all j ∈ for p ∈
The free-distributional data (65) can be refined as follows: if p ∈ j ∈ , and if is the corresponding A-tensor j-th p-adic filter (63), then
for all n ∈ and
for all n ∈ , whenever k≠ j in for all n ∈
Before we focus on non-zero free-distributional data (66) of let’s conclude the following result for .
Corollary 1.
Let p ∈ j ∈ and let be the A-tensor j-th p-adic filter (63). Then, the generating operators
have the zero free distribution, whenever k ≠ j in
Proof.
It is proven by (65) and (67). ☐
By the above corollary, we now restrict our interests to the “ j-th” generating operators of (59) in the A-tensor “ j-th” p-adic filter for all p ∈ j ∈ having non-zero free distributions determined by (66).
9. On the Free Product Banach ∗-probability Space
Throughout this section, let be a fixed unital -probability space, and let
be A-tensor j-th p-adic filters, where
are in the sense of (52), and are the linear functionals (62) on for all p ∈ j ∈ .
Let = = be the generating elements (59) of of (68), for a ∈ p ∈ and j ∈ . Then, these operators of have their free-distributional data,
for all n ∈ , by (65).
By (66) and (67), we here concentrate on the “ j-th” generating operators of having non-zero free distributions (69) for all j ∈ for all p ∈
9.1. Free Product Banach ∗-probability Space
By (68), we have the family
of Banach ∗-probability spaces, consisting of the A-tensor j-th p-adic filters
Define the free product Banach ∗-probability space,
in the sense of [15,22].
By (70), the A-tensor j-th p-adic filters of (68) are the free blocks of the Banach ∗-probability space of (70).
All operators of the Banach ∗-algebra in (70) are the Banach-topology limits of linear combinations of noncommutative free reduced words (under operator-multiplication) in
More precisely, since each free block is generated by for all p ∈ j ∈ all elements of are the Banach-topology limits of linear combinations of free words in
In particular, all noncommutative free words have their unique free “reduced” words (as operators of under operator-multiplication) formed by
in for all …, ∈ and …, ∈ where either the N-tuple
is alternating in respectively, in , in the sense that:
respectively,
(e.g., see [22]).
For example, a 5-tuple
is not alternating in while a 5-tuple
is alternating in etc.
By (70), if are the j-th a-tensor generating operators of a free block of the Banach ∗-probability space , for all j ∈ for p ∈ j ∈ then are contained in the same free block of and, hence, they are free reduced words with their lengths-1, for all n ∈ Therefore, we have
for all n ∈ by (69).
Definition 12.
The Banach ∗-probability space of (70) is called the A-tensor (free-)Adelic filterization of .
As we discussed at the beginning of Section 9, we now focus on studying free random variables of the A-tensor Adelic filterization of (70) having “non-zero” free distributions.
Define a subset of by
in where is the unity of and are the “ j-th” -tensor generating operators of in the free blocks for all p ∈ j ∈
Then, the elements of have their non-zero free distributions,
by (71), since
for all n ∈ Now, define a Cartesian product set
set-theoretically, where is in the sense of (72).
Define a function :→ by
for all ∈ where is in the sense of (73a).
It is not difficult to check that this function of (73b) is a well-defined injective map. Moreover, it induces all j-th a-tensor generating elements of in for all p ∈ and j ∈
Define a Banach ∗-subalgebra of the A-tensor Adelic filterization of (70) by
where is the subset of induced by (73a) and (73b), and mean the Banach-topology closures of subsets Y of
Then, this Banach ∗-subalgebra of (74a) has a sub-structure,
in the A-tensor Adelic filterization
Theorem 3.
Let be the Banach ∗-algebra (74a) in the A-tensor Adelic filterization Then,
where ∈ of (73b). Here, (🟉) in the first ∗-isomorphic relation in (75) is the free-probability-theoretic free product determined by the linear functional τ of (70), or of (74b) (e.g., [15,22]), and (🟉) in the second ∗-isomorphic relation in (75) is the pure-algebraic free product generating noncommutative free words in .
Proof.
Let be the Banach ∗-subalgebra (74a) in Then,
by (73a), (73b) and (74a)
in , since all elements ∈ are chosen from mutually distinct free blocks of the A-tensor Adelic filterization , and, hence, the operators are free from each other in for any a ∈ for all p ∈ j ∈ moreover,
because all elements of are the (Banach-topology limits of) linear combinations of free words in by the very above ∗-isomorphic relation. Indeed, for any noncommutative (pure-algebraic) free words in
have their unique free “reduced” words under operator-multiplication on , as operators of
Therefore, the structure theorem (75) holds. ☐
The above theorem characterizes the free-probabilistic structure of the Banach ∗-algebra of (74a) in the A-tensor Adelic filterization This structure theorem (75) demonstrates that the Banach ∗-probability space of (74b) is well-determined, having its natural inherited free probability from that on .
Definition 13.
Let be the Banach ∗-probability space (74b). Then, we call
the A-tensor (Adelic) sub-filterization of the A-tensor Adelic filterization
By (69), (71), (72) and (75), one can verify that the free probability on the A-tensor sub-filterization provide “possible” non-zero free distributions on the A-tensor Adelic filterization up to free probability on i.e., if a ∈ have their non-zero free distributions, then ∈ have non-zero free distributions, and, hence, they have their non-zero free distributions on
Theorem 4.
Let ∈ be free random variables of the A-tensor sub-filterization , for a ∈ and p ∈ and j ∈ Then,
for all n ∈
Proof.
The first formula of (76) is shown by (71). Thus, it suffices to prove the second formula of (76) holds. Note that
and, hence,
for all ∈ Thus, one has
by (77).
Thus, one has
by (71), for all n ∈ Therefore, the second formula of (76) holds too. ☐
9.2. Prime-Shifts on
Let be the A-tensor sub-filterization (70) of the A-tensor Adelic filterization In this section, we define a certain ∗-homomorphism on , and study asymptotic free-distributional data on (and hence those on ) over primes.
Let be the set of all primes in , regarded as a totally ordered set (in short, a TOset) for the usual ordering (≤), i.e.,
with
Define an injective function h:→ by
where are primes of (78), for all k ∈
Definition 14.
Let h be an injective function (79) on the TOset of (78). We call h the shift on
Let h be the shift (79) on the TOset and let
for all n ∈ , where (∘) is the usual functional composition.
By the definitions (79) and (80),
for all n ∈ in For instance, = and = etc.
These injective functions of (80) are called the n-shifts on for all n ∈
For the shift h on one can define a ∗-homomorphism on the A-tensor sub-filterization by a bounded “multiplicative” linear transformation, satisfying that
for all ∈ for all ∈ for all j ∈ where h is the shift (79) on
By (82), we have
in for all ∈ for ∈ ∈ for l = …, for N ∈ where …, ∈
Remark 1.
Note that the multiplicative linear transformation of (82) is indeed a ∗-homomorphism satisfying
for all T ∈ , because
for all ∈
In addition, by (82), we obtain the ∗-homomorphisms,
the products (or compositions) of the n-copies of the ∗-homomorphism of (82), acting on It is not difficult to check that
for all ∈ in where are the k-shifts (80) on for all k ∈
Definition 15.
Let be the ∗-homomorphism (82) on the A-tensor sub-filterization and let be the products (84) acting on for all n ∈ with = Then, we call the n-prime-shift (∗-homomorphism) on for all n ∈ In particular, the 1-prime-shift is simply said to be the prime-shift (∗-homomorphism) on
Thus, for any ∈ in for ∈ (in the sense of (78) with k ∈ ), the n-prime-shift satisfies
by (81) and (85), and, hence,
by (83) and (86), for all n ∈
By (86) and (87), one may write as follows;
where are the n-shifts (81) on the TOset .
Consider now the sequence
of the n-prime-shifts on
For any fixed T ∈ the sequence of (88) induces the sequence of operators,
in and this sequence has its corresponding free-distributional data, represented by the following -sequence:
We are interested in the convergence of the -sequence of (89), as n→
Either convergent or divergent, the -sequence of (89), induced by any fixed operator T ∈ shows the asymptotic free distributional data of the family ⊂ as n→ ∞ in equivalently, as → ∞ in
9.3. Asymptotic Behaviors in over
Recall that, by (44), we have
for j ∈
Recall also that there are bounded ∗-homomorphisms
of (88), where are the n-prime shifts of (84), where h is the shift (79) on the TOset of (78). Then, these ∗-homomorphisms of satisfies
for all ∈ in where are the n-shifts (80) on for all n ∈
Thus, one can get that: if is a free reduced words of in then
since are ∗-homomorphisms on
by (91)
under the Banach-topology for for all ∈ , for ∈ ∈ ∈ for l = …, for all N ∈
Notation 2.
(in short, N 2 from below) For convenience, we denote symbolically by for the sequence = of (88).
Lemma 3.
Let ∈ be generators of the A-tensor sub-filterization for l = …, for N ∈ . In addition, let Π be the sequence (88) acting on . If π is in the sense of N 2, then
for all …, ∈ where are the n-shifts (80) on
Proof.
The proof of (93) is done by (91) and (92). ☐
By abusing notation, one may/can understand the above formula (93) as follows
respectively, where “” for q ∈ is in the sense of (44).
Such an understanding (94a) of the formula (93) is meaningful by the constructions (80) of n-shifts on . For example,
where the right-hand side of (94b) means that: starting with take bigger primes again and again in the TOset of (78).
Assumption and Notation: From below, for convenience, the notations in (94a) are used for (93), if there is no confusion.
We now define a new (unbounded) linear functional on with respect to the linear functional of (74a), by
where is in the sense of N 2.
Theorem 5.
Let = be the A-tensor sub-filterization (74b), and let = τ ∘ π be the new linear functional (95) on the Banach ∗-algebra of (74a). Then, for the generators
for an arbitrarily fixed a ∈ and j ∈ we have that
for all n ∈
Proof.
Let ⊂ in for fixed a ∈ and j ∈ Then,
by (93) and (94a)
by the boundedness of for the (norm, or strong) topology for
by (70), (75) and (77)
by (90), for each n ∈ Therefore, the free-distributional data (96) holds for . ☐
By (96), we obtain the following corollary.
Corollary 2.
Let ∈ be free random variables of the A-tensor sub-filterization for all p ∈ where is the unity of Then, the asymptotic free distribution of the family
follows the semicircular law asymptotically as p→∞ in
Proof.
Let = ⊂ in Then, for the linear functional of (95) on
for all n ∈ , by (96), since
If p→ ∞ in then the asymptotic free distribution of the family is the semicircular law by the self-adjointness of all ’s, and by the semicircularity (45) and (47). ☐
Independent from (96), we obtain the following asymptotic free-distributional data on .
Theorem 6.
Let …, be “mutually distinct” in for N > 1 in and hence the N-tuple
is alternating in In addition, let
be an arbitrarily fixed N-tuple of free random variables …, of the unital -probability space and let’s fix
Now, define a family of free reduced words with their lengths-N,
in for ∈ for all ∈ where ∈ ∈ for l = …,
For any free reduced words T ∈ if is the linear functional (95) on then
for all n ∈
Proof.
Let T ∈ be in the sense of (97) in the A-tensor sub-filterization Then, these operators T form free reduced words with their lengths-N in since is an alternating N-tuple of “mutually distinct” integers. Observe that
by (93) and (94a)
because
in the sense of (44), for all l = …, and, hence, it goes to
by the boundedness of for the (norm, or strong) topology for
since consists of “mutually-distinct” integers, by the Möbius inversion
by (90), for all n ∈ Therefore, the family of (97) satisfies the asymptotic free-distributional data (98) in the A-tensor sub-filterization over ☐
The above two theorems illustrate the asymptotic free-probabilistic behaviors on the A-tensor sub-filterization over by (96) and (98).
As a corollary of (96), we showed that the family
has its asymptotic free distribution, the semicircular law in as p→ ∞. More generally, the following theorem is obtained.
Theorem 7.
Let a be a self-adjoint free random variable of our unital -probability space Assume that it satisfies
- (i)
- ∈ = ∖ in
- (ii)
- = for all n ∈ .
Then, the family
follows the asymptotic semicircular law, in over
Proof.
Let a ∈ be a self-adjoint free random variable satisfying two conditions (i) and (ii), and let be the family (99) of the A-tensor sub-filterization Then, all elements
are self-adjoint in by the self-adjointness of and by the condition (i).
For any ∈ observe that
by (96)
by the condition (ii)
for all n ∈ Therefore, the family has its asymptotic semicircular law over by (45). ☐
Similar to the construction of of (99), if we construct the families
for a fixed a ∈ satisfying the conditions (i) and (ii) of the above theorem, and, for a fixed j ∈ then one obtains the following corollary.
Corollary 3.
Fix a ∈ satisfying the conditions (i) and (ii) of the above theorem. Let’s fix j ∈ and let be the corresponding family (100) in the A-tensor sub-filterization =
Proof.
The proof of (101) is done by (99).
By (96), if j > then, for any T = ∈ one has that
for all n ∈ Thus, the asymptotic free distribution of is the zero free distribution in as p → ∞ in Thus, the statement (102) holds.
Similarly, by (96), if j< then the asymptotic free distribution is undefined in over equivalently, the statement (103) is shown. ☐
Motivated by (101), (102) and (103), we study the asymptotic semicircular law (over ) on more in detail in Section 10 below.
10. Asymptotic Semicircular Laws on over
We here consider asymptotic semicircular laws on the A-tensor sub-filterization = . In Section 9.3, we showed that the asymptotic free distribution of a family
is the semicircular law in as p→ ∞ in for a fixed self-adjoint free random variable a ∈ satisfying
- (i)
- ∈ and
- (ii)
- = for all n ∈ .
As an example, the family
follows the asymptotic semicircular law in over
We now enlarge such asymptotic behaviors on up to certain ∗-isomorphisms.
Define bijective functions and on by
for all j ∈
By (106), one can define bijective functions on by
satisfying = on , with axiomatization:
for all n ∈ = ∪. For example,
for all j ∈ for all n ∈
From the bijective functions of (107), define the bijective functions on the generator set of (72) of the A-tensor sub-filterization by
with
by (108), for all p ∈ and j ∈ for all n ∈ where is the identity function on
By the construction (73a) of the generator set of under (73b),
the functions of (109) are indeed well-defined bijections on by the bijectivity of of (107).
Now, define bounded ∗-homomorphisms on by the bounded multiplicative linear transformations on satisfying that:
in by using the bijections of (109), for all ∈
More precisely, the morphisms of (110) satisfy that
By (111a), one can get that
for all ∈ for l = …, for N ∈
The formula (111a) are obtained by (110) and the multiplicativity of The formulas in (111b), obtained from (111a), show that indeed are ∗-homomorphisms on since
By (110) and (111a),
for all ∈ for l = …, for N ∈ for all n ∈ .
Definition 16.
We call the bounded ∗-homomorphisms of (110), the n-(±)-integer-shifts on for all n ∈
Based on the integer-shifting processes on one can get the following asymptotic behavior on over .
Theorem 8.
Let be a family (100) of the A-tensor sub-filterization for any j ∈ where a is a fixed self-adjoint free random variable of satisfying the additional conditions (i) and (ii) above. Then, there exists a -integer-shift on such that
and
for all T ∈ where on the right-hand sides of (113) are the -(∓)-integer shifts (110) on and where = is the linear functional (95) on .
Proof.
Let = be a family (100) of for a fixed j ∈ where a fixed self-adjoint free random variable a ∈ satisfies the above additional conditions (i) and (ii).
Assume first that j ≥ 0 in Then, one can take the -(−)-integer-shift of (110) on satisfying
for all ∈
Second, if j < 0 in then one can have the -(+)-integer shift of (110) on satisfying that
for all ∈
For example, for any ∈ we have the corresponding -integer-shift
on in the sense of (113), such that
for all p ∈
Then, for any = ∈ we have that
since is a ∗-homomorphism (113) on
by (96) and (98), for all n ∈ Therefore, formula (114) holds true. ☐
By the above theorem, we obtain the following result.
Corollary 4.
Let be a family (100) of the A-tensor sub-filterization for j ∈ where a self-adjoint free random variable a ∈ satisfies the conditions (i) and (ii). Then, the corresponding family
has its asymptotic free distribution, the semicircular law, in over where is the ()-integer shift (113) on for all j ∈
Proof.
The asymptotic semicircular law induced by the family of (115) in is guaranteed by (114) and (45), for all j ∈ ☐
By the above corollary, the following result is immediately obtained.
Corollary 5.
Let be in the sense of (100) in where is the unity of and let
be in the sense of (115), for all j ∈ Then, the asymptotic free distributions of are the semicircular law in over for all j ∈
Proof.
The proof is done by Corollary 4. Indeed, the unity automatically satisfies the conditions (i) and (ii) in ☐
More general to Theorem 8, we obtain the following result too.
Theorem 9.
Let a ∈ be a self-adjoint free random variable satisfying the conditions (i) and (ii), and let ∈ be an arbitrarily fixed prime. Let
where is the family (100), and is the family (115), for j ∈ Then, the asymptotic free distribution of the family is the semicircular law in
Proof.
The proof of this theorem is similar to that of Theorem 8. One can simply replace
in the proof of Theorem 8 to
where (≡) means “being symbolically same”. ☐
Funding
This research received no external funding.
Conflicts of Interest
The author declares no conflict of interest.
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