Abstract
In this paper, we study relations between free probability on crossed product -algebras with a von Neumann algebra over p-adic number fields (for primes p), and free probability on the subalgebra Φ, generated by the Euler totient function ϕ, of the arithmetic algebra , consisting of all arithmetic functions. In particular, we apply such free probability to consider operator-theoretic and operator-algebraic properties of -dynamical systems induced by under free-probabilistic (and hence, spectral-theoretic) techniques.
1. Introduction
While in standard probability spaces, the random variables are functions (measurable with respect to a prescribed σ-algebra), and hence their analysis entails only abelian algebras of functions. By contrast, in free probability, one studies (both) noncommutative (and commutative) random variables (on algebras) in terms of fixed linear functionals. In the classical case, independence is fundamental, and we get the notion of products of probability spaces. The analogous concept in the noncommutative setting is freeness and free products. Freeness (or free independence) is then studied in connected with free products. The free probability theory was pioneered by D. Voiculescu (e.g., [1,2]) and motivated by a question in von Neumann algebra (alias -algebra) theory, the free-group factors isomorphism problem (e.g., [2,3]). There has been a recent renewed interest in analysis on free probability spaces, especially in connection with free random processes (e.g., [4,5])
In this paper, we consider connections between the two independent free-probabilistic models induced from number-theoretic objects, (i) free probability spaces of the von Neumann algebras generated by p-adic number fields and the corresponding integrations on , (e.g., [6,7,8]) and (ii) free probability spaces of the algebra consisting of all arithmetic functions, equipped with the usual functional addition and the convolution , and the point-evaluation linear functionals on , for all primes p (e.g., [9,10,11,12]). And we apply such relations to study -dynamical systems induced by (e.g., [9]).
In particular, for the later models (ii), we construct free-probabilistic sub-structures of (under suitable quotient) for primes Here, is an subalgebra of (under quotient) generated by the Euler totient function ϕ∈, defined by
for all n ∈
The main purpose of this paper is to show the free probability on -dynamical systems induced by is related to the free probability on the corresponding -dynamical systems acted by . Our results not only relate the calculus on with the free probability on (Also, see [9]), but also provide better tools for studying non-Archimedean p-adic (or Adelic) dynamical systems.
We considered how primes (or prime numbers) act on operator algebras, in particular, on von Neumann algebras. The relations between primes and operator algebra theory have been studied in various different approaches. For instance, in [11], we studied how primes act “on” certain von Neumann algebras generated by p-adic and Adelic measure spaces. Also, the primes as operators in certain von Neumann algebras, have been studied in [8].
The main results deal with explicit computations for our free-dynamical systems in Section 5 and Section 6, and structure theorems in Section 8, Section 9 and Section 10. The first four sections deal with some preliminaries (free probability systems generated by arithmetic functions, and their prime components), which we need in the proofs of main results (Theorems 5.1, 6.3, 8.6, 9.3, 9.4, and 10.2).
We address-and-summarize the main theorems, (i) in a given free probability space, either global, or one of the prime factors, how do we identify mutually free sub-systems? See, for example, Theorem 8.6; and (ii) how do our global systems factor in terms of the prime free probability spaces? See especially Theorem 9.3; and (iii) how do we apply the above results from (i) and (ii), see Theorem 10.2.
Independently, in [9,10], we have studied primes as linear functionals acting on arithmetic functions. i.e., each prime p induces a free-probabilistic structure on arithmetic functions . In such a case, one can understand arithmetic functions as Krein-space operators, via certain representations (See [11,12]).
These studies are all motivated by well-known number-theoretic results (e.g., [13,14,15,16,17]) with help of free probability techniques (e.g., [8,11,12]).
In modern number theory and its application, p-adic analysis provides an important tool for studying geometry at small distance (e.g., [18]). it is not only interested in various mathematical fields but also in related scientific fields (e.g., [11,12,15,19]). The p-adic number fields and the Adele ring play key roles in modern number theory, analytic number theory, L-function theory, and algebraic geometry (e.g., [9,19,20]).
In earlier papers [11,12], the authors studied harmonic analysis of arithmetic functions, leading to free probability spaces indexed by the prime numbers p. In [21], we considered von Neumann algebras induced by p-adic number fields , and realized the connection between non-Archimedean calculus on and free probability on , liked via Euler totient function The purpose of the present paper is to enlarge such connections between them, and apply such connections to non-Archimedean p-adic or Adelic dynamical systems.
In [8], the first-named author constructed -dynamical systems induced by , by understanding the σ-algebra as a semigroup under set-intersection By acting this semigroup on an arbitrary von Neumann algebra M via a semigroup-action α, one can establish a -dynamical system Then the corresponding crossed product algebra M is constructed and it is *-isomorphic to the conditional tensor product algebra M The free probability on such von Neumann algebras was studied in [8].
In [21], the author and Jorgensen considered the connection between calculus (in particular, integration) on and free probability on (inherited from the free probability on under the linear functional ). We realized that, for any f ∈ , there exists h ∈ (under quotient), such that
and vice versa.
We here apply the results of [21] to the study of -dynamical systems.
In Section 2, we introduce basic concepts for the paper. In Section 3, Section 4, Section 5 and Section 6, we briefly consider main results of [8]. The main results of [21] are reviewed in Section 7 and Section 8. In Section 9 and Section 10, we re-construct free probability on the -dynamical systems induced by in terms of -dynamical systems induced by
2. Definitions and Background
For related themes from -Dynamical Systems, see [22]. For useful themes from harmonic analysis of number fields, both commutative and noncommutative, see [23,24,25,26]. Some related themes from mathematical physics are found in [17,27,28].
In this section, we introduce basic definitions and backgrounds of the paper.
2.1. p-Adic Number Fields
Throughout this section, let p be a fixed prime, and let be the p-adic number field for p. This set is by definition the completion of the rational numbers with respect to the p-adic norm
for q = ∈ , for some k ∈ Remark here that the norm satisfies that
and hence, it is non-Archimedean. The topology for is induced by the non-Archimedean metric induced by the p-adic norm
for all ∈
Under topology, is locally compact and totally disconnected as a topological space, and contains a maximal compact subring,
We call , the unit disk of , and all elements of are said to be the p-adic integers in . The unit disk , as an algebraic object, is a discrete valuation ring, in the sense that: it is a principal ideal domain with a unique non-zero prime ideal (generated by p). The ideal is also a maximal ideal, and hence, the quotient
forms a field, called the residue field of . Similarly, one can verify that
Using powers of the ideal , we obtain a particularly nice description for the topology of . It has neighborhood bases of zero consisting of the compact open (additive) subgroups
In fact, set-theoretically, one has
In other words, if we consider as an additive group, then it is locally profinite.
Recall that an arbitrary group is called profinite, if it is both locally profinite and compact. So, the unit disk of is profinite, since is locally profinite and is compact in
Recall also that any profinite group can be realized as the inverse limit of finite groups. Since is compact and has a neighborhood base of zero consisting of compact open subgroups obtained by taking k to be a natural number above, there exists an isomorphism φ,
such that
for all x ∈ This inverse limit runs over finite groups since
are finite groups, for any k ∈ .
For a fixed prime p, note that the unit disk of is then a compact group with the induced -operation on , passed to the projective limit. Hence, has a unique normalized Haar measure , satisfying
and
for all Borel subsets S ⊆ , and x ∈ Here,
where (+) is the p-adic addition on (inherited from that on ).
One can check that the dual character group of ,
and it is an injective limit of the group inducing
So, there is an associated Fourier transform
such that
for all ξ ∈ Moreover, we have
The boundary of the unit disk is defined by
We call , the unit circle of
Under the Haar measure on , we have
and
for all a ∈ and for all k ∈ , where
2.2. Free Probability
In this section, we briefly introduce free probability. Free probability is one of a main branch of operator algebra theory, establishing noncommutative probability theory on noncommutative (and hence, on commutative) algebras (e.g., pure algebraic algebras, topological algebras, topological *-algebras, etc.).
Let be an arbitrary algebra over the complex numbers , and let → be a linear functional on Then the pair is called a free probability space (over ). All operators a ∈ are called free random variables. Remark that free probability spaces are dependent upon the choice of linear functionals.
Let …, be a free random variable in a , for s ∈ The free moments of , …, are determined by the quantities
for all , …, ∈ , …, , for all n ∈
and the free cumulants , …, of , …, is determined by the Möbius inversion,
for all , …, ∈ , …, , for all n ∈ , where means the partition-depending moments, and means the block-depending moment, for example, if
with three blocks and , then
Here, the set means the noncrossing partition set over …, , which is a lattice with the inclusion ≤, such that
where V ∈ θ or B ∈ π means that V is a block of θ, respectively, B is a block of π, and ⊆ means the usual set inclusion, having its minimal element …, , and its maximal element …,
Especially, a partition-depending free moment …, is determined by
where means the cardinality of
Also, μ is the Möbius functional from × into where i.e., it satisfies that
and
for all n ∈ where
means the k-th Catalan numbers, for all k ∈ Notice that since each is a well-defined lattice, if π < θ are given in one can decide the “interval”
and it is always lattice-isomorphic to
for some …, ∈ where means “l blocks of π generates blocks of ” for ∈ …, for all n ∈ By the multiplicativity of μ on for all n ∈ if an interval in satisfies the above set-product relation, then we have
(For details, see [11,12]).
By the very definition of free cumulants, one can get the following equivalent Möbius inversion,
where …, means the partition-depending free cumulant, for all …, ∈ …, for n ∈ where …, ∈ for s ∈ Under the same example,
we have
In fact, the free moments of free random variables and the free cumulants of them provide equivalent free distributional data. For example, if a free random variable a in is a self-adjoint operator in the von Neumann algebra in the sense that = then both free moments and free cumulants …, give its spectral distributional data.
However, their uses are different case-by-case. For instance, to study the free distribution of fixed free random variables, the computation and investigation of free moments is better, and to study the freeness of distinct free random variables in the structures, the computation and observation of free cumulants is better (See [12]).
Definition 2.1. We say two subalgebras and of are free in if all “mixed” free cumulants of and vanish.. Similarly, two subsets and of are free in , if two subalgebras and generated by and respectively, are free in Two free random variables and are free in if and are free in
Suppose and are free subalgebras in Then the subalgebra A generated both by these free subalgebras and is denoted by
Inductively, assume that is generated by its family of subalgebras, and suppose the subalgebras are free from each other in for i ∈ Then we call the free product algebra of (with respect to ψ), i.e.,
is the free product algebra of (with respect to ψ).
In the above text, we concentrated on the cases where is a “pure-algebraic” free probability space. Of course, one can take A as a topological algebra, for instance, A can be a Banach algebra. In such a case, ψ is usually taken as a “bounded (or continuous)” linear functional (under topology). Similarly, A can be taken as a *-algebra, where (*) means here the adjoint on satisfying that
for all ∈ Then we put an additional condition on called the (*)-relation on ψ,
where means the conjugate of for all z ∈
Finally, the algebra A can be taken as a topological *-algebra, for example, a -algebra or a von Neumann algebra. Then usually we take a linear functional ψ satisfying both the boundedness and the (*)-relation on it.
In the following, to distinguish the differences, we will use the following terms.
- (i)
- If A is a Banach algebra and if ψ is bounded, then is said to be a Banach probability space.
- (ii)
- If A is a *-algebra and if ψ satisfies the (*)-relation, then is called a *-probability space.
- (iii)
- If A is a -algebra and if ψ is bounded with (*)-relation, then is a -probability space.
- (iv)
- If A is a von Neumann algebra and if ψ is bounded with (*)-relation, then is a -probability space.
2.3. The Arithmetic Algebra
In this section, we introduce an algebra , consisting of all arithmetic functions. Recall that an arithmetic function f is nothing but a -valued function whose domain is i.e.,
set-theoretically. It is easy to check that forms a vector space over Indeed, the functional addition (+) is well-defined on , since is a well-defined arithmetic function whenever f and h are arithmetic functions, and the scalar product is well-defined on , because r f is a well-defined arithmetic function whenever f is an arithmetic function and r ∈
Moreover, one can define the convolution (*) on by
for all n ∈ , for all h ∈ , where “” means “d is a divisor of ” or “d divides ” or “n is divisible by ” for n ∈
Then f * h ∈ , too. Also, we have that
and
for all ∈
Thus, equipped with this vector multiplication (*) on , the vector space forms an algebra over .
Definition 2.2. The algebra = +, over is called the arithmetic algebra.
This algebra has its (+)-identity the arithmetic function,
and the (*)-identity the arithmetic function,
for all n ∈
Note the difference between the constant arithmetic function 1 and the (*)-identity ,
It is not difficult to check that, in fact, the algebra is commutative under (*), i.e.,
2.4. The Euler Totient Function ϕ
In this section, we consider a special element, the Euler totient function ϕ of the arithmetic algebra
Let ϕ be an arithmetic function,
where means the greatest common divisor of and for all ∈ This function ϕ is a well-defined arithmetic function, as an element of
Definition 2.3. The above arithmetic function ϕ is called the Euler totient function in
The Euler totient function ϕ is so famous, important, and applicable in both classical and modern number theory that we cannot help emphasizing the importance of this function not only in mathematics but also in other scientific areas (e.g., [4,5,22,23,29]).
For any fixed prime and k ∈ one can have = and
in particular, with =
Recall that an arithmetic function f is multiplicative, if
for all m ∈
The Euler totient function ϕ is multiplicative by definition. Thus, we have that
for all n ∈ whenever n is prime-factorized by with =
Furthermore, the arithmetic function ϕ satisfies the following functional equation in general,
for all m ∈
The above Formula generalizes the multiplicativity of So, one can have that
for all m ∈
We also obtain that
for all k ∈
Recall the Möbius inversion on ,
where μ is the arithmetic Möbius function (different from the Möbius functional in the incidence algebra in Section 2.2), i.e.,
for all n ∈ where
and
for all n ∈
It is well-known that
3. Free Probability on Von Neumann Algebras
Let’s establish von Neumann algebras induced by the p-adic number fields for primes Since is an unbounded Haar-measured non-Archimedean Banach field, for each fixed prime we naturally obtain the corresponding von Neumann algebra , induced by a Haar-measure space
where means the σ-algebra of consisting of all -measurable subsets of
Then there exists a natural linear functional, denoted by on the von Neumann algebra , satisfying that
for all S ∈ where means the characteristic function of
I.e., one has a well-defined -probability space in terms of the integration
3.1. p-Adic Von Neumann Algebras
Throughout this section, let’s fix a prime As a measure space, the field has its corresponding -Hilbert space defined by
We call , the p-adic Hilbert space. i.e., all elements of are the square -integrable functions on . Remark that all elements of are the functions approximated by simple functions
with ∈ (under limit), generated by characteristic functions
for all x ∈ So, one can understand each element f of as an expression,
The inner product, denoted by on is naturally defined by
for all ∈ having the corresponding norm on
for all f ∈ Thus, if f = in , then
Now, let be the -Banach space, consisting of all essentially bounded functions on Let’s now fix a function
Similar to -case, one can / may understand h as the approximation of simple functions, since
Moreover, one can define the vector multiplication on by the usual functional multiplication. Then it is well-defined because ∈ then ∈ too. I.e., it becomes a well-defined von Neumann algebra over We denote this von Neumann algebra by i.e.,
More precisely, all elements of are understood as multiplication operators on , by Equation (4).
Definition 3.1. The von Neumann subalgebras = acting on are called the p-adic von Neumann algebras, for all primes
By locally compactness, and Hausdorff property of for any x ∈ there exist a ∈ and n ∈ such that x ∈ a + (e.g., [21]). Therefore, we obtain the following result.
Proposition 3.1. Let be a characteristic function for S ∈ . Then there exist N ∈ ∪ and …, ∈ …, ∈ in such that
Proof. The detailed proof of Equation (5) can be found in [8]. ☐
The above Formula (5) characterizes the identically distributedness under the integral in
3.2. p-Prime -Probability Spaces
In this section, on the p-adic von Neumann algebras = we define canonical linear functionals and establish corresponding -probability spaces . Throughout this section, we fix a prime and corresponding p-adic von Neumann algebra acting on the p-adic Hilbert space =
Define a linear functional
on the p-adic von Neumann algebra by the integration,
Then the pair forms a well-defined -probability space in the sense of Section 2.2.
Definition 3.2. The -probability space of a p-adic von Neumann algebra and a linear functionals of Equation (6) is called the p-prime -probability spaces, for all primes
We concentrate on studying free-distributional data of characteristic functions for S ∈ or simple functions
for m ∈
Proposition 3.2. Let S ∈ and let ∈ Then
for some N ∈ ∪ where ∈ in ∈ for j = …, for all n ∈
Proof. The Formula (7) is proven by Equation (5). The detailed proof can be found in [8,21]. ☐
The above Formula (7) shows not only free-moment computation for , but also the identically free-distributedness of in too.
More generally, one can obtain the following joint free moment computation formula.
Theorem 3.3. Let ∈ and let ∈ for j = …, for n ∈ Let …, ∈ and …, ∈ Then
So, if the -measurable subset S = and its corresponding free random variable satisfies Equation (7), then
Proof. The proofs of Equations (8) and (9) are by Equation (7) under linearity. See [8,21] for more details. ☐
4. Free Probability on Determined by Primes
Let be the arithmetic algebra consisting of all arithmetic functions under the usual functional addition and convolution. In [9,10,11,12], we define the point-evaluation linear functionals on , determined by fixed primes p. As before, throughout this section, we fix a prime
Define a linear functional : by
as the point evaluation at It is a well-defined linear functional on inducing a (pure-algebraic) free probability space .
Definition 4.1. The pure-algebraic free probability space is said to be the arithmetic p-prime probability space.
For convenience, we denote the n-th convolution
by for all n ∈
For ∈ one can get that
Therefore, we can verify that the free-distributional data on (for a fixed prime p) is determined by quantities
(See [9])
Proposition 4.1. (See [9,10]) Let be the arithmetic p-prime probability space
For …, ∈ for n ∈ we have
The above Formulas (12)–(14) provide ways to consider free-distributional data on for a fixed prime Again, they demonstrate that the quantities determine free distributions of arithmetic functions in Also, the Formulas (13) and (14) provide equivalent free-distributional data for …, (See Section 2.2, and [1]), under Möbius inversion (in the sense of Section 2.2).
By [9], we can define an equivalence relation on by
as pairs in the 2-dimensional -vector space
Construct now a quotient algebra / naturally. i.e., it is a set
where
Without loss of generality, we keep writing simply by f in /
We obtain the following classification theorem.
Theorem 4.2. (See [9]) Let be the arithmetic p-prime probability space. Then
set-theoretically, where ⊔ means the disjoint union and
for all ∈
Clearly, one can inherit the linear functional on to a linear functional, also denoted by on / defined by
for all f = ∈ / Then, under the linear functional of Equation (19), the pair / forms a pure-algebraic free probability space, too.
As in [11,12], we put a suitable topology on / By Equations (17) and (19), whenever we choose an element f ∈ / it is represented as a pair
Now, let’s define an indefinite inner product on by
for all ∈ and define the corresponding norm by
for all ∈ where in the second equality means the modulus on and in the third equality means the absolute value on
Then the pair is a well-defined Banach space, denoted by
Notice that we may / can understand this Banach space as the 2-dimensional -algebra equipped with of Equation (22) and of Equation (23), with its multiplication,
for all ∈ The multiplication Equation (22) is a well-defined vector-multiplication on by [11,12].
Notation. We denote such an algebra equipped with vector-multiplication Equation (22), with of Equation (20) and of Equation (21), by
Define now a norm on the quotient algebra / by
for all f ∈ / where is the norm Equation (21) on
Then, under this norm of Equation (23), the quotient algebra / is understood as a topological space, moreover, embedded in the 2-dimensional -algebra
where means “being homeomorphic.” i.e., is a Banach algebra.
Theorem 4.3. The normed quotient algebra / = / is Banach-isomorphic to
One can define a morphism
by
Then it is surjective, by Equation (17). And, again by Equation (17), it is injective. i.e., if
then ≠ in / as equivalent classes in the sense of Equation (16). So, it is injective, too. i.e., F of Equation (24) is a bijective morphism.
Now, let ∈ / and ∈ Then
The identity Equation (25) guarantees the linearity of
Also, F satisfies that, for all ∈ /
by Equation (11)
by the multiplication Equation (22) on
Thus, the morphism F is multiplicative, by Equation (26). So, by Equations (25) and (26), the bijective morphism F is an algebra-isomorphism from / onto
Furthermore, one has that
for all f ∈ / The relation Equation (27) shows that the algebra-isomorphism F is isometric. i.e., it is a Banach-algebra isomorphism from / onto It shows that the normed-algebra / is isometrically isomorphic to the Banach algebra
The above topological-algebraic characterization is motivated both by the set-theoretic classification in [9] and by the Krein-space representations in [11,12].
Definition 4.2. We denote the Banach algebra / by and we call the p-prime Banach algebra. Moreover, is characterized by
by the above theorem.
Define now a linear functional on by
as a natural projection on Then the pair forms a Banach probability space (e.g., [12]).
Recall that two arbitrary free probability spaces and are said to be equivalent (in the sense of Voiculescu), if (i) there exists an isomorphism h from onto ; and (ii) h satisfies that
If and are topological algebras (or, topological *-algebras), then h of the condition (i) and (ii) should be continuous (respectively, both continuous and preserving *-relation, = in for all a ∈ where (*) here means adjoint).
Theorem 4.4. The Banach probability spaces and are equivalent, i.e.,
Proof. By Equation (28) and by the above theorem, there exists a Banach-algebra isomorphism F of Equation (24) from onto For any f ∈ we obtain that
for all f ∈ ☐
The above equivalence Equation (30) shows that the study of free probability on (or on ), for a fixed prime is to investigate that on under
In [11,12], indeed, we showed that each element f ∈ is understood as a Krein space operator on the Krein space
and
Note here that
and
(See [11,12]).
5. Euler Subalgebras of p-Prime Banach Algebras
In this section, we consider a certain subalgebra of our p-prime Banach algebra , for a fixed prime In Section 4, we showed that the Banach probability space is well-determined under quotient, and it is equivalent to the 2-dimensional Banach probability space .
Let’s fix the Euler totient function ϕ in (i.e., understand ϕ = ). Define now the subalgebra of by the Banach subalgebra generated by i.e.,
where means that the subalgebra generated by X under (+) and (*) in and means the -norm-closure of Y, where is in the sense of Equation (25). Thus, by Equation (34), we have
where = /, where is the identity element of .
Definition 5.1. We call the subalgebra of the p-prime Banach algebra , the (p-prime) Euler subalgebra of
Since and are equivalent by Equation (30), under the subspace topology, the Euler subalgebra is a Banach subalgebra of
Also, one can consider the adjoint (*) on as a unary operation on such that
where means the conjugate of for all z ∈ Note that, in fact,
for all k ∈ = ∪ since ⊆ in i.e.,
It shows that the adjoint (*) is well-defined on and hence, the Euler subalgebra is understood as a Banach *-algebra. Remark that is a *-subalgebra of the finite-dimensional algebra So, this Banach *-algebra can be understood as a -algebra or a von Neumann algebra, too, because all topologies on an arbitrary finite-dimensional space are equivalent from each other.
Assumption. From now on, we understand our Euler subalgebra as a von Neumann algebra acting on .
Definition 5.2. The -probability space is called the (p-prime) Euler -probability space.
Observe that, for any n ∈ we have in general that
by Equation (12). By the very definition Equation (2.5.1) of
and hence, one can get that
by Equation (2.5.2). Therefore, one has that
The above Formula (35) not only provides a recursive formula to compute n-th free moments of but also shows that our linear functional is additive on in the sense that
for all n ∈
By applying Equation (35), we obtain the following general free-moment formula.
Theorem 5.1. Let T ∈ be a free random variable,
Then the n-th free moments of T are determined by
where = * T in for all n ∈
Proof. The detailed proof is found in [9]. ☐
The above Formula (36) characterizes the free-distributional data on Also, the Formula (36) with Formula (35) shows the free-momental data for T ∈ are determined by certain scalar-multiples of
The following corollary is the direct consequence of Formulas (35) and (36).
By Formula (36), we obtain the following proposition.
Proposition 5.2. For any n ∈ we have that
for all k ∈
6. Free-Distributional Data on and
In this section, we consider identically free-distributedness on our two distinct free probability spaces and . By Section 3, Section 4 and Section 5, one can realize that
for all k ∈ and n ∈
Proposition 6.1. (See [21]) Let S ∈ and ∈ Then there exist N ∈ ∪ ∈ in and ∈ for j = …, such that
for all m ∈
As the converse of Equation (38), one can have the following proposition, too.
Proposition 6.2. (See [21]) For all m ∈ we have that
for all n ∈
Therefore, by Equations (38) and (39), we obtain the following theorem.
Theorem 6.3. Let T = ∈ Then there exist …, ∈ and
such that T and h are identically free-distributed, in the sense that
Proof. Let T be given as above in Then, by Equations (38) and (39), T and
with
satisfy
Also, for any n ∈
by Equations (36) and (37). Therefore, two free random variables T ∈ and h ∈ are identically free-distributed. ☐
By the identically free-distributedness Equation (40), we obtain the following theorem, by Equation (38).
Theorem 6.4. Let h = ∈ with ∈ for N ∈ Then there exists T ∈ such that h and T are identically free-distributed in the sense that
Proof. Let h be given as above in Then, for each summand there exist ∈ ∪ in and ∈ for j = …, such that and
are identically distributed in the sense of Equation (7), for k = …, for k = …,
And each in the right-hand side of Equation (42) is identically free-distributed with ϕ ∈ by Equation (39). So, for of Equation (42) and
are identically free-distributed, by Equation (39). Equivalently, and are identically free-distributed, again by Equation (39), for all k = …, Thus, one can determine a free random variable,
where are in the sense of Equation (43), such that
By Equations (36) and (37), we have
Therefore, there exists T ∈ such that h and T are identically free-distributed. ☐
7. p-Adic -Dynamical Systems
Let’s now establish -dynamical systems on a fixed von Neumann algebra by acting the σ-algebra of the p-adic number field Throughout this section, we fix a von Neumann subalgebra M acting on a Hilbert space and a prime
7.1. p-Adic Semigroup -Dynamical Systems
Now, let M be a fixed von Neumann algebra in the operator algebra on a Hilbert space and a fixed p-adic number field, and let = be the p-adic von Neumann algebra.
Let be the tensor product Hilbert space ⊗ H of the p-adic Hilbert space = and the Hilbert space H where M acts, where ⊗ means the Hilbertian tensor product. i.e.,
Define an action α of the σ-algebra of acting on M “in ” by
for all S ∈ and m ∈ in by understanding
where is the identity map on and is the identity element of M. i.e., one can understand as compressions of m (on ), with respect to projections on Then α is an action on M satisfying
for all m ∈ and ∈ i.e.,
Observe now that the algebraic structure forms a semigroup. Indeed, the intersection ∩ is well-defined on and it is associative,
for ∈ for all j = Moreover, this semigroup contains acting as the semigroup-identity satisfying that
for all S ∈ and hence, this semigroup forms a monoid with its identity
Lemma 7.1. The action α of in the sense of Equation (45) acting on a von Neumann algebra M is a monoid action, and hence, the triple forms a monoid dynamical system.
Proof. The action α of Equation (45) is indeed a well-defined action acting on M, by Equation (46). And, by the above discussion, = forms a semigroup with the identity . Moreover,
So, the triple forms a well-defined monoid dynamical system. ☐
Recall that all elements f of the p-adic von Neumann algebra is generated by the σ-algebra of in the sense that all elements f ∈ has its expression, So, the action α of Equation (45) can be extended to a linear morphism, also denoted by from into acting on with
for all f ∈
Proposition 7.2. Let be the p-prime von Neumann algebra, and let M be a von Neumann subalgebra of Then there exists an action α of acting on M in
Proof. It is proven by Equations (45) and (47). ☐
Definition 7.1. Let be the σ-algebra of the p-adic number field understood as a monoid and let α be the monoid action of on a von Neumann algebra M in the sense of Equation (45). Then monoid dynamical system is called the p-adic(-monoidal) -dynamical system. For a p-adic -dynamical system, define the crossed product algebra
by the von Neumann subalgebra of generated by M and satisfying Equation (47). The von Neumann subalgebra of is called the p-adic dynamical -algebra induced by the p-adic -dynamical system ,
Note that, all elements of the p-adic dynamical -algebra = M have their expressions,
Define the support of a fixed element T = of by
Now, let ∈ with ∈ ∈ Then
since = ⊗ (in ) are projections ( = = ), for all S ∈
Notation. For convenience, if there is no confusion, we denote by for all S ∈ and m ∈
I.e., we have
for ∈ for k =
Inductive to Equation (50), one has that
for all N ∈ Also, we obtain that
for all m ∈ with m ∈ and S ∈
So, let
where is in the sense of Equation (49). Then
by Equation (51).
Also, if T = in then
by Equation (52).
By Equations (53) and (54), one can have that if
for n ∈ then
where
for j = …, n
for all …, ∈
Lemma 7.3. Let = be elements of the p-adic semigroup -algebra = M in for k = …, for n ∈ Then
for all …, ∈ where are in the sense of Equation (55).
The proof of the above lemma is by discussions of the very above paragraphs.
7.2. Structure Theorem of M
Let be the p-adic -algebra induced by the p-adic -dynamical system = In this section, we consider a structure theorem for this crossed product von Neumann algebra
First, define the usual tensor product -subalgebra
where = is the p-prime von Neumann algebra in the sense of Section 7.1, and where is the von Neumann algebraic tensor product over . By definition, clearly, one can verify that is a -subalgebra of in i.e.,
Now, define the “conditional” tensor product -algebra
induced by an action α of acting on M (in the sense of Equation (48)), by a -subalgebra of dictated by the α-relations,
and
for all m ∈ and S ∈ i.e., the -subalgebra of satisfying the α-relations, expressed by Equations (57) and (58), is the conditional tensor product -algebra M
Theorem 7.4. (See [8]) Let = M be the p-adic -algebra induced by the p-adic -dynamical system and let = M be the conditional tensor product -algebra of M and the p-prime von Neumann algebra satisfying the α-relations Equations (57) and (58). Then these von Neumann algebras and are *-isomorphic in i.e.,
in
The above characterization Equation (59) shows that our p-adic dynamical -algebra = M is *-isomorphic to the conditional tensor product -algebra = M So, from now on, we identify with
8. Free Probability on p-Adic Dynamical -Algebras
In this section, we consider free probability on the p-adic dynamical -algebra
induced by the p-adic -dynamical system
By Equation (59), the von Neumann subalgebra is *-isomorphic to the conditional tensor product -algebra = M So, throughout this section, we understand and alternatively.
First, we assume that a fixed von Neumann algebra M is equipped with a well-defined linear functional ψ on it. i.e., the pair is a -probability space. Moreover, assume that the linear functional ψ is unital on in the sense that
for the identity element of
By understanding as we obtain a well-defined conditional expectation
where
where is the unit circle of satisfying that
for all m ∈ and S ∈
Remark that of Equation (60) is indeed a well-determined -subalgebra of (and hence, that of = ), because
is the compressed -subalgebra of
Define now a morphism
by a linear transformation satisfying that
for all ∈ where ∈ satisfies that
by Equation (5). Of course, the morphism can be directly defined by a linear morphism satisfying
Then, by the identically-distributedness, there exists ∈ such that
and then define a linear functional
by a linear functional on satisfying that, for all m ∈ and S ∈
i.e., a linear functional satisfying that
where ∈ satisfies Equation (62).
And then define a linear functional
by
where γ and are in the sense of Equations (63) and (60), respectively. i.e., for all m ∈ and S ∈
for some ∈ satisfying Equation (62). Then the pair is a -probability space.
Definition 8.1. The pair is called the p-adic dynamical -probability space.
The following lemma is obtained by the straightforward computations.
Lemma 8.1. Let be a free random variable in the p-adic dynamical -probability space with m ∈ and S ∈ Then
for all n ∈ where ∈ satisfies Equation (62).
Proof. The proof of Equation (65) is from straightforward computations, by Equations (51) and (56). ☐
More general to Equation (65), we obtain the following lemma.
Lemma 8.2. (See [8]) Let …, be free random variables in the p-adic dynamical -probability space with ∈ ∈ for k = …, for n ∈ Then there exists ∈ such that
By Equations (65) and (66), we obtain the following free-distributional data of free random variables of .
Theorem 8.3. (See [8]) Let be the p-adic dynamical -probability space, and let
be free random variables in for n ∈ Then
where are in the sense of Equation (55), and …, ∈ and where ∈ satisfy Equation (62), for all …, .
Let be the p-adic dynamical -probability space, and let …, be free random variables in it, for n ∈ where …, ∈ and …, ∈ Then, we have
where are in the sense of Equation (55)
by Equation (67), where ∈ satisfies Equation (62).
So, one can obtain that
by the Möbius inversion (See Section 2.2)
by Equation (68), where ∈ satisfy Equation (62).
By Equation (69), we obtain the following inner free structure of the p-adic dynamical -algebra with respect to
Proposition 8.4. (See [8]) Let and be free random variables in the p-adic dynamical -probability space with ∈ and S ∈ \ Also, assume that S is not measure-zero in . Then and are free in the -probability space if and only if and are free in
It is not difficult to check that if S ∩ = then the family
and
are free in
Proposition 8.5. Let S ∈ such that S ∩ = Then the subsets
and
are free in
Proof. Let and ∈ with ∈ and S ∈ Assume that S ∩ is empty. Since S ∩ = all mixed cumulants of and have = for some V ∈ π in Equation (4.2.12), for all π ∈ Therefore, one obtains the following inner freeness condition of ☐
Motivated by the above proposition, we obtain the following general result.
Theorem 8.6. Let ≠ ∈ such that ∩ = Then the subsets : m ∈ and : a ∈ are free in i.e.,
⟹
Proof. The proof is a little modification of the proof of the above proposition. Indeed, we can check that
So, we can apply the above proposition. ☐
9. Euler Subalgebras on Certain Dynamical -Probability Spaces
Throughout this section, fix a prime and let be the Euler probability space in the sense of Section 5. Also, as in Section 7 and Section 8, we fix an arbitrary -probability space where M is a von Neumann algebra in In particular, we will fix a unital linear functional ψ on M by
where is the inner product of the Hilbert space where M acts, and means the identity element (or a vacuum vector) of satisfying
(i.e., we restrict our interests to the cases where M is a certain von Neumann algebra acting on having its identity element )
In this section, we construct certain -dynamical systems induced by the Euler subalgebra Recall that the close relations between and in Section 6.
As we have discussed in Section 4, each element f = of is understood as a Krein-space operator on the Krein space (See Equation (33)),
Recall that the Krein-space operators satisfy Equations (4.25) and (4.26) on
Note that, if is an arbitrary Krein space equipped with its indefinite inner product and is an arbitrary Hilbert space equipped with its (positive-definite) inner product , thetensor product space becomes again a Krein space with its indefinite inner product defined by
for all ∈ and ∈ Clearly, the inner product on is indefinite, by the indefiniteness of on
Define now a Krein space
and construct the tensor product Banach *-algebra
acting on of Equation (74). Note that, since is a Banach *-algebra (on ), and M is a von Neumann algebra (on H), the topological *-algebra is again a Banach *-algebra acting on under product topology.
Definition 9.1. The Banach *-algebra of Equation (75) acting on the Krein space of Equation (74) is called the M-(tensor-)Euler (Banach *-)algebra.
Let Φ = M be the M-Euler algebra acting on the Krein space = having its indefinite inner product in the sense of Equation (73),
for all ∈ for j = where is the indefinite inner product on introduced in [12], such that
and where is the inner product on the Hilbert space where M is acting.
Note that the Krein space has its identity vector
where, in particular,
(See Section 2.3). Now, define a linear functional on by the linear morphism satisfying that
for all f ⊗ m ∈ where in Equation (78) is the identity vector of in the sense of Equation (77).
Observe the definition Equation (78) more in detail. For T = ∈
Proposition 9.1. Let f ⊗ m be an element of the M-Euler algebra , for f ∈ and m ∈ and let be the linear functional in the sense of Equation (78) on Then
Proof. The proof of the Formula (80) is directly from Formula (79). ☐
By Equations (79) and (80), one has that, for n ∈
for all m ∈ since
by Equation (12), for all n ∈
Corollary 9.2. Let ∈ for n ∈ Then
Definition 9.2. Let be the M-Euler algebra and let be the linear functional on in the sense of Equation (78). Then the Banach *-probability space is called the (Krein-space-representational) M-Euler (Banach-*-)probability space.
By Equations (80) and (81) and the results of Section 6, we can find the relations between the free probability on p-adic dynamical -probability spaces and the free probability on the M-Euler probability spaces.
Theorem 9.3. Let be an arbitrary -probability space in where ψ is the linear functional on M in the sense of Equation (71), and assume that H has its identity element Let be the M-Euler probability space. Let be an arbitrary free random variable of Then there exists a free random variable T of the p-adic dynamical -probability space
in the sense of Definition 8.1, such that
and the converse also holds true.
More precisely, if ∈ then there exists ∈ such that
for all n ∈ and m ∈ And the converse also holds true.
Proof. We will prove the relation Equation (83) first. Recall first that, by Equations (40) and (41), if f ∈ , then there exists h ∈ such that
and conversely, if h ∈ then there exists f ∈ such that
In particular, by Section 6, one has that
by Equations (38) and (39).
So, if ∈ for n ∈ and m ∈ then
by Equation (81)
by Equations (8.1.1), (8.1.2) and (84). Therefore, the relation Equation (83) holds true.
By Equation (83), and by the facts that (i) is generated by and (ii) is generated by the relation Equation (82) holds true (under tensor-product structures under product topology), by Equations (40) and (41). ☐
The above characterization Equation (82) (with Equation (83)) characterizes the relation between free probability on our M-Euler probability spaces and free probability on our p-adic dynamical -probability spaces for fixed -probability spaces where ψ is in the sense of Equation (71).
Theorem 9.4. Let = ∈ , for S ∈ and m ∈ where ψ is in the sense of Equation (71). Then there exist ∈ such that
for some ϕ ⊗ m ∈
More generally, if T ∈ then there exists h ∈ such that
Proof. Recall that, if S ∈ then there exist N ∈ ∪ and …, ∈ in and …, ∈ such that
by Equations (40) and (41).
Observe now that, for ∈
by Equations (8.1.1), (8.1.2) and (87).
The Formula (88) shows that there exists ∈ such that
where, in particular,
where and are determined by Equation (87) and where satisfies Equation (88).
By the Formula (84), the relation Equation (86) holds under linearity and topology. ☐
The characterization Equation (84) (resp., Equation (86)) is in fact equivalent to Equation (83) (resp., Equation (82)), providing equivalent relation between free probability on p-adic dynamical -probability spaces and free probability on M-Euler probability spaces, whenever a fixed linear functional ψ on M is in the sense of Equation (71).
In Section 10 below, we study special cases where a fixed von Neumann algebra M is a group von Neumann algebra, and ψ is the canonical trace on M.
10. Application Over Group Von Neumann Algebras
In Section 9, we showed the connection between free probability on p-adic dynamical -probability spaces and free probability on M-Euler probability spaces for fixed -probability spaces where, in particular, ψ is a linear functional in the sense of Equation (71) on
Let G be a discrete group and let be the canonical group von Neumann algebra acting on the group Hilbert space = the -space generated by G, under the left-regular unitary representation where u is the unitary action of G on defined by
satisfying
where means the group product in G and means the group-inverse of for all g ∈ So, indeed, each induces a unitary on
for all g ∈ where means the group-identity of and means the identity element of
Remark that the group Hilbert space has its orthonormal basis : g ∈ satisfying that
with the Hilbert-space identity element =
The inner product on satisfies
where δ means the Kronecker delta.
The group von Neumann algebra has its canonical trace defined by
for all ∈ with ∈
The trace is a well-determined linear functional on moreover, it satisfies
and
Definition 10.1. The -probability space is called the (canonical) group -probability space of
Remark that the trace is understood as
where is the identity element of
It shows that the trace of a given group -probability space satisfies the condition Equation (71) naturally. So, one can construct the -Euler probability space in the sense of Definition 9.1. For convenience, we will denote
We concentrate on computing free moments of generating elements of in terms of for all n ∈ g ∈ Again, for convenience, we denote
in
Observe that
by Equation (80)
by Equation (81)
for all n ∈ g ∈ i.e.,
for all n ∈ g ∈
Motivated by the above observation, we obtain the following proposition.
Proposition 10.1. Let be the generating free random variables of the -Euler probability space in the sense of Equation (90), where is the group von Neumann algebra of a group for all n ∈ g ∈ Then
for all k ∈
Proof. Let n ∈ g ∈ and , a corresponding generating element of in the sense of Equation (90). Then
by Equation (89)
by Equation (91). ☐
The free-moment computation Equation (92) provides the free-distributional data of generating elements of
By Equations (91) and (92), we obtain the following generalized result.
Theorem 10.2. Let be distinct generating elements of the -Euler probability space of a group in the sense of Equation (90), for j = …, for N ∈ Then
Proof. Observe that
by Equation (91). ☐
Let be given as in the above theorem in for j = …, and let means the free cumulant in terms of obtained by the Möbius inversion in the sense of Section 2.2. Then
by Equation (93)
where means the number of blocks in the partition for all π ∈ and where
and
Proposition 10.3. Let be generating elements of for j = …, for N ∈ Then
where and are in the sense of Equation (94), for all π ∈ for all N ∈
In the Formula (95), note that
since ∈ for all j = …, and since V ≠ ⌀, for all V ∈ for all π ∈ for N ∈
Now, we define positive quantities by
for all π ∈ for all N ∈ where is determined by Equation (95), satisfying Equation (96).
Then the Formula (95) can be re-written by
by Equation (97).
Now, let and be fixed two distinct generating free random variables in the -Euler probability space for a group as in Equation (90). Then, for any “mixed” n-tuples …, ∈ , for n ∈ \ we have the mixed free cumulants of and as follows,
by Equations (95) and (98), for …, ∈ where are in the sense of Equation (94), and are in the sense of Equation (97), for all π ∈ Remark that
for all n ∈ g ∈ So, the mixed free cumulants of
are indeed determined by Equation (99).
Consider further that, if noncrossing partitions and have different numbers of blocks in , then
by the inequality of Equation (97).
So, to make the sum Equation (99) be vanishing, in general,
by Equation (99). Indeed, if = for all π ∈ then definitely, the right-hand side of Equation (99) vanishes. And if = then the right-hand side of Equation (99) becomes
However, note that, by Equations (96) and (97),
and hence, in general,
Moreover, by the very definition,
By Equations (101a) and (101b) the condition Equation (100) can be re-written by that “in general,” = i.e., to vanish the Formula (99), we in general have to have = Recall, by Equation (94), that
for all π ∈ So, to satisfy = for all π ∈ for all n ∈ \
for all m ∈ \ for all mixed m-tuples …, ∈ and …, ∈ equivalently,
where …, ∈ and …, ∈ are “mixed,” for m ∈ \ .
By the above observation, one can get the following refined result of Equation (95), equivalently Equation (99).
Proposition 10.4. Let = ∈ be in the sense of Equation (90), for j = …, for N ∈ Then
where
whenever N is even.
Proof. The proof is done by Equations (95), (99) and (100). ☐
Moreover, by Equation (103), we obtain the following corollary.
Corollary 10.5. Let = ∈ be in the sense of Equation (90), for j = and let …, be a “mixed” -tuple of Then
where are in the sense of Equation (97), and
where
Proof. The proof of Equation (104) is from Equation (103). ☐
The above Formulas Equations (93), (95), (103) and (104) provide equivalent joint free-distributional data for free random variables = and for j = …, for n ∈
Acknowledgments
The authors highly appreciate kind supports of editors of Mathematics, and thank reviewers for their efforts.
Author Contributions
The co-authors have contributed and collaborated together in the research, and also with regards to both the writing the paper, and the revising their paper.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Speicher, R. Combinatorial Theory of the Free Product with Amalgamation and Operator-Valued Free Probability Theory; American Mathematical Society: Providence, RI, USA, 1998; Volume 132. [Google Scholar]
- Voiculescu, D.; Dykemma, K.; Nica, A. Free Random Variables, CRM Monograph Series; American Mathematical Society: Providence, RI, USA, 1992; Volume 1. [Google Scholar]
- Radulescu, F. Random Matrices, Amalgamated Free Products and Subfactors of the C*-Algebra of a Free Group of Nonsingular Index. Invent. Math. 1994, 115, 347–389. [Google Scholar] [CrossRef]
- Alpay, D.; Salomon, G. Non-Commutative Stochastic Distributions and Applications to Linear Systems Theory. Stoch. Process. Appl. 2013, 123, 2303–2322. [Google Scholar] [CrossRef]
- Alpay, D.; Jorgensen, P.E.T.; Salomon, G. On Free Stochastic Processes and Their Derivatives. Available online: http://arXiv.org/abs/1311.3239 (accessed on 13 November 2013).
- Cho, I. p-Adic Banach-Space Operators and Adelic Banach-Space Operators. Opusc. Math. 2014, 34, 29–65. [Google Scholar] [CrossRef]
- Cho, I. Operators Induced by Prime Numbers. Methods Appl. Math. 2013, 19, 313–340. [Google Scholar] [CrossRef]
- Cho, I. On Dynamical Systems Induced by p-Adic Number Fields. Opusc. Math. 2014, in press. [Google Scholar]
- Cho, I. Classification on Arithmetic Functions and Corresponding Free-Moment L-Functions. Bull. Korean Math. Soc. 2015, 52, 717–734. [Google Scholar] [CrossRef]
- Cho, I. Free Distributional Data of Arithmetic Functions and Corresponding Generating Functions. Complex Anal. Oper. Theory 2014, 8, 537–570. [Google Scholar] [CrossRef]
- Cho, I.; Jorgensen, P.E.T. Krein-Space Operators Induced by Dirichlet Characters. Commut. Noncommut. Harmonic Anal. Appl. 2013, 603. [Google Scholar] [CrossRef]
- Cho, I.; Jorgensen, P.E.T. Krein-Space Representations of Arithmetic Functions Determined by Primes. Algebras Represent. Theory 2013. submitted. [Google Scholar] [CrossRef]
- Ford, K. The Number of Solutions of ϕ(x) = m. Ann. Math. 1999, 150, 283–311. [Google Scholar] [CrossRef]
- Hardy, G.H.; Wright, E.M. An Introduction to the Theory of Numbers, 5th ed.; Oxford University Press: New York, NY, USA, 1980. [Google Scholar]
- Lagarias, J.C. Euler Constant: Euler’s Work and Modern Development. Bull. New Ser. Am. Math. Soc. 2013, 50, 527–628. [Google Scholar] [CrossRef]
- Bach, E.; Shallit, J. Algorithmic Number Theory (Vol I), MIT Press Series Foundations of Computing; MIT Press: Cambridge, MA, USA, 1996. [Google Scholar]
- Mudakkar, S.R.; Utev, S. On Stochastic Dominance of Nilpotent Operators. Infin. Dimens. Anal. Quantum Probab. Relat. Top. 2013, 16. [Google Scholar] [CrossRef]
- Vladimirov, V.S.; Volovich, I.V.; Zelenov, E.I. p-Adic Analysis and Mathematical Physics, Series on Soviet and East European Mathematics; World Scientific: Singapore, 1994; Volume 1. [Google Scholar]
- Cho, I. Complex-Valued Functions Induced by Graphs. Complex Anal. Oper. Theory 2015, 9, 519–569. [Google Scholar] [CrossRef]
- Gillespie, T. Prime Number Theorems for Rankin-Selberg L-Functions over Number Fields. Sci. China Math. 2011, 54, 35–46. [Google Scholar] [CrossRef]
- Cho, I.; Jorgensen, P.E.T. Harmonic Analysis and the Euler Totient Function: Von Neumann Algebras over p-Adic Number Fields. Contemp. Math. Conf. Ser. 2014, 17, 1809–1841. [Google Scholar]
- Bost, J.-B.; Connes, A. Hecke Algebras, Type III-Factors and Phase Transformations with Spontaneous Symmetry Breaking in Number Theory. Sel. Math. 1995, 1, 411–457. [Google Scholar] [CrossRef]
- Montgomery, H.L. Harmonic Analysis as Found in Analytic Number Theory. In 20th Centry Harmonic Analysis—A Celebration; Springer Netherlands: Heidelberg, Germany, 2001; Volume 33, pp. 271–293. [Google Scholar]
- Pettofrezzo, A.J.; Byrkit, D.R. Elements of Number Theory; Prentice Hall: Upper Saddle River, NJ, USA, 1970. [Google Scholar]
- Popescu, I. Local Functional Inequalities in One-Dimensional Free Probability. J. Funct. Anal. 2013, 264, 1456–1479. [Google Scholar] [CrossRef]
- Salapata, R. A Remark on p-Convolution. In Noncommutative Harmonic Analysis with Application to Probability (III); Banach Center Publications: Warsaw, Poland, 2012; Volume 96, pp. 293–298. [Google Scholar]
- Connes, A.; Marcolli, M. From Physics to Number Theory via Noncummutative Geometry. In Frontiers in Number Theory, Physics, and Grometry (I); Springer-Verlag: Berlin/Heidelberg, Germany, 2006; pp. 269–347. [Google Scholar]
- Mehta, M.L. Random Matrices in Nuclear Physics and Number Theory. Contemp. Math. 1986, 50, 295–309. [Google Scholar]
- Blackadar, B. Operator Algebras: Theory of C*-Algebras and von Neumann Algebras; Springer-Verlag: Berlin, Gremany, 1965. [Google Scholar]
© 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).