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 ∈ Letwhere are in the sense of (7), for l = …, Then, there exists ∈ such thatfor 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 thatand 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 -subalgebrawhere 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), thenin 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 ifand 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 spacesare 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 operatorshave 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 callthe 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 satisfyingfor all T ∈ , becausefor 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, thenfor 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 generatorsfor an arbitrarily fixed a ∈ and j ∈ we have thatfor 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 familyfollows 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-tupleis alternating in In addition, letbe 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 thenfor 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 familyfollows 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 thatandfor 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 familyhas 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 letbe 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. Letwhere 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”. ☐