Representation of Locally Convex Partial ∗-algebraic Modules
F. A. Tsav
Department of Mathematics and Computer Science, Benue State University, Makurdi, Nigeria
Abstract:
In this paper, we introduce a new notion of representation for a locally convex partial ∗-algebraic module as a concrete space of maps. This is a continuation of our systematic study of locally convex partial ∗-algebraic modules, which are generalizations of inner product modules over C∗-algebras.
Keywords: Partial ∗-algebra, locally convex (B,τB)-module, adjointable map, partial-inner product.
AMS 2010 Subject Classification: 46A03, 46C99, 47C99
1 Introduction
The notion of a locally convex partial ∗-algebraic module was introduced by Ekhaguere [2] in his study of the representation of completely positive maps between partial ∗-algebras. Locally convex partial ∗-algebraic modules are generalizations of inner product modules over B∗-algebras [8]. These inner product modules [9], now generally known as pre-Hilbert C∗-modules, provide a natural generalization of the Hilbert space in which the complex field of scalars is replaced by a C∗-algebra. Although the theory of Hilbert C∗-modules, in the case of commutative unital C∗-algebras, can be traced back to the work of Kaplansky [4], where he proved that derivations of type I AW∗-algebras are inner, it was Paschke [8] who gave the general framework. Apart from being interesting on its own, the theory of Hilbert C∗-modules has had several areas of applications. For example, the work of Kasparov on KK-theory [5, 6], the work of Rieffel on induced representations and Morita equivalence [9, 10], and the work of Woronowicz on C∗-algebraic quantum group theory [13], etc. For a more detailed bibliography of the theory of Hilbert C∗-modules, see [3]. In this paper, we continue the systematic development of some of the properties of locally convex partial ∗-algebraic modules, which was begun in [12]. At this stage, we introduce a new notion of representation for a locally convex partial ∗-algebraic module as a concrete space of maps. This result, which is interesting in its own, generalizes the notion of a representation of a Hilbert C∗-module as a concrete space of operators[7] and would be useful elsewhere to develop an analogue of Stinespring theorem for locally convex partial ∗-algebraic modules, by extending a number of results from the theory of Hilbert C∗-modules.
The paper is organized as follows. In section 2, we outline some of the fundamental notions used in the sequel. We establish our notations in four subsections under this section: The basic notion of a partial ∗-algebra is given in subsection 2.1. Subsection 2.2 outlines the notions of a locally convex partial ∗-algebraic modules, while subsections 2.3 and 2.4 outline some properties of these objects and their adjointable maps, respectively. See [1, 2, 11, 12], for more details of these notions. Finally, in section 3 we introduce a new notion of a B-valued inner product, which extends the notion of locally convex partial ∗-algebraic modules to include partial ∗-algebras themselves. We prove our main result in this new setting.
2 Fundamental Notions
For more details of these notions, see [1, 2, 11, 12].
2.1 Partial ∗-algebra
A partial ∗-algebra is simply a complex involutive linear space A with a multiplication that is defined only for certain pairs of compatible elements determined by a relation on A. More precisely, there is the following definition.
Definition 2.1
A partial ∗-algebra is a quadruple (A,Γ,⋄,∗) comprising:
- (a)
a linear space A over IC;
2. (b)
a relation Γ⊆A×A;
3. (c)
a partial multiplication, ⋄, such that
- (c1)
(x,y)∈Γ* if and only if x⋄y∈A;*
2. (c2)
(x,y),(x,z)∈Γ* implies (x,λy+μz)∈Γ and then*
x⋄(λy+μz)=λ(x⋄y)+μ(x⋄z),∀λ,μ∈IC; and
4. (d)
an involution (x↦x∗) such that
- (d1)
(x+λy)∗=x∗+λy∗,∀x,y∈A,λ∈IC* and x∗∗=x,∀x∈A;*
2. (d2)
(x,y)∈Γ* if and only if (y∗,x∗)∈Γ and then (x⋄y)∗=y∗⋄x∗.*
Definition 2.2
*An element e of a partial ∗-algebra B is called a unit, and B is said to be unital, if (e,x),(x,e)∈Γ, and then e∗=e, and e⋄x=x⋄e=x, for every x∈B.
B is said to be abelian if, for all x,y∈B, (x,y),(y,x)∈Γ, and then x⋄y=y⋄x.*
Remark 2.1
Partial ∗-algebras are studied by means of their spaces of multipliers.
Definition 2.3
*Let (A,Γ,⋄,∗) be a partial ∗-algebra, M⊂A and x∈A. Put L(x)={y∈A:(y,x)∈Γ}(resp., R(x)={y∈A:(x,y)∈Γ},
L(M)=⋂x∈ML(x)≡{y∈A:y∈L(x),∀x∈M},
R(M)=⋂x∈MR(x)≡{y∈A:y∈R(x),∀x∈M}).
Then L(x) (resp., R(x), L(M), R(M)) is called the space of left multipliers of x (resp., right multipliers of x, left multipliers of M, right multipliers of M). In particular, elements of L(A) (resp., R(A)) are called universal left (resp., universal right) multipliers.
M(A)≡L(A)∩R(A) is the so-called universal multipliers of A.*
Definition 2.4
A partial ∗-algebra B is said to be semi-associative if y∈R(x) implies y⋄z∈R(x) for every z∈R(B) and (x⋄y)⋄z=x⋄(y⋄z).
Remark 2.2
If a partial ∗-algebra B is semi-associative, then L(B) and R(B) are algebras, while M(B) is a ∗-algebra.
Definition 2.5
The positive cone of a partial ∗-algebra A is the set A+ given by A+:={∑j=1nxj∗⋄xj:xj∈R(A),n∈N}.
We say that x∈A is positive if x∈A+ and write x≥0.
Definition 2.6
Given a Hausdorff locally convex topology τ on A, we call the pair (A,τ) a locally convex partial ∗-algebra if and only if:
- (i)
(A0,τ)* is a Hausdorff locally convex space, where A0 is the underlying linear space of A,*
2. (ii)
the map x∈A↦x∗∈A is τ-continuous,
3. (iii)
the map x∈A↦a⋄x∈A is τ-continuous, for all a∈L(A) and
4. (iv)
the map x∈A↦x⋄b∈A is τ-continuous, for all b∈R(A).
Definition 2.7
Let B be a complex linear space and B0 a ∗-algebra contained in B. B is said to be a quasi ∗-algebra with distinguised ∗-algebra B0 if
- (i)
B* is a bimodule over B0 for which the module action extends the multiplication of B0 such that x.(y.b)=(x.y).b and x.(b.y)=(x.b).y, for all b∈B and x,y∈B0;*
2. (ii)
the involution ∗ on B extends the involution of B0 such that (x.b)∗=b∗.x∗ and (b.x)∗=x∗.b∗, for all b∈B and x∈B0.
If B is a locally convex space with a locally convex topology τ such that
- (i)
B0* is τ-dense in B;*
2. (ii)
the involution ∗ is τ-continuous;
3. (iii)
the left and right module actions are separately τ-continuous,
then (B,B0) is said to be a locally convex quasi ∗-algebra.
Remark 2.3
Every quasi ∗-algebra is a semi-associative partial ∗-algbera
2.2 Locally Convex Partial ∗-Algebraic Modules
As in [2], let (B,τB) be a locally convex partial ∗-algebra, with involution ∗ and partial multiplication written as juxtaposition. Let τB be generated by a family {∣⋅∣α:α∈Δ} of seminorms. In what follows, we assume, without loss of generality, that the family {∣⋅∣α:α∈Δ} of seminorms is directed. Let D be a linear space which is also a right R(B)-module in the sense that x.a+y.b∈D, whenever x,y∈D and a,b∈R(B), where the action of R(B) on D is written as z.c for z∈D, c∈R(B). Locally convex partial ∗-algebraic modules were introduced in [2] as follows.
Definition 2.8
*A B-valued inner product on D is a conjugate-bilinear map
⟨⋅,⋅⟩B:D×D⟶B satisfying the following:*
- (i)
⟨x,x⟩B∈B+,∀x∈D* and ⟨x,x⟩B=0 only if x=0,*
2. (ii)
⟨x,y⟩B=⟨y,x⟩B∗,∀x,y∈D,
3. (iii)
⟨x,y.b⟩B=⟨x,y⟩Bb,∀x,y∈D,b∈R(B)**
Lemma 2.1
Let ⟨⋅,⋅⟩B be a B-valued inner product on D. Define ∥⋅∥α:D⟶[0,∞) by
[TABLE]
Then, the following inequality holds:
[TABLE]
Moreover, if ∣⋅∣α is ∗-ivariant, i.e., if ∣a∗∣α=∣a∣α,∀a∈B,α∈Δ, then the inequality (2) reduces to
[TABLE]
Corollary 2.2
If ∥⋅∥α:D⟶[0,∞) is defined as in Equation (1), then
∥⋅∥α is a seminorm on D for each α∈Δ.
Remark 2.4
We observe that the family {∥⋅∥α:α∈Δ} of seminorms is directed.
Definition 2.9
A locally convex (B,τB)-module is a triple (D,⟨⋅,⋅⟩B,τD,B) comprising:
- (a)
a linear space D which is also a right R(B)-module;
2. (b)
a B-valued inner product ⟨⋅,⋅⟩B:D×D⟶B; and
3. (c)
a locally convex topology τD,B on D generated by the family {∥⋅∥α:α∈Δ} of seminorms given by (1)
and, with respect to this topology, the map lR(b):D⟶D given by lR(b)x=x.b,∀x∈D, is continuous for each b∈R(B); i.e., for each α∈Δ,∃ a β(α)∈Δ and Kα,b>0 such that ∥lR(b)x∥α≤Kα,b∥x∥β(α)
2.3 Some Basic Properties of Locally Convex (B,τB)-modules
Definition 2.10
Let A be a partial ∗-algebra and B a linear subspace of A. Then B is said to be a left (resp., right) ideal in A, if a∈L(A) and b∈B (resp., a∈R(A) and b∈B) implies ab∈B (resp., ba∈B). If B is both a left and a right ideal in A, then B is called a two-sided ideal, or simply, an ideal in A.
Remark 2.5
From the definition above, if A is a semi-associative partial ∗-algebra, then:
- (i)
L(A)* is a left ideal in A*
2. (ii)
R(A)* is a right ideal in A*
3. (iii)
M(A)* is an ideal in A*
Proposition 2.1
Let (D,⟨⋅,⋅⟩B,τD,B) be a locally convex (B,τB)-module. Define the linear subspace, MD of B by
[TABLE]
Then MD is an ideal in B.
2.4 Adjointable Maps on Locally Convex (B,τB)-modules
Definition 2.11
*A map t:X→Y is called a (B,τB)-module map (or simply, a module map) if and only if t(x.b)=(tx).b,∀x∈D,b∈R(B).
One also says that t is a (B,τB)-linear map. We denote by LB(X,Y), the set of all linear (B,τB)-module maps from X to Y.*
Definition 2.12
*We call a map t:X→Y adjointable if there exists a map
t∗:Y→X such that*
[TABLE]
The map t∗ will be called the adjoint of t.
Proposition 2.2
If the map t:X→Y is adjointable, then t∈LB(X,Y).
Notation 2.1
*Let (D,⟨⋅,⋅⟩B,τD,B) be a dense locally convex (B,τB)-submodule of (X,⟨⋅,⋅⟩B,τX,B). LB(D,X) becomes a linear space when furnished with the usual (pointwise) operations of vector addition, t+s and scalar multiplication, λt, t,s∈LB(D,X),λ∈IC.
Now set LB∗(D,X):={t∈LB(D,X):tis continuous and adjointable}. Since D is dense in X, t∗ is uniquely determined, and hence, well-defined. It follows that LB∗(D,X) is a ∗-invariant linear subspace of LB(D,X). It is not a ∗-algebra, except
LB∗(D,X)≡LB∗(D,D)=LB∗(D):={t∈LB∗(D,X):tD⊆D\mboxandt∗D⊆D}. However, if one sets LB+(D,X):={t∈LB∗(D,X):\mboxdom(t∗)⊇D}, then:*
Proposition 2.3
The linear space LB+(D,X) is a partial ∗-algebra with:
- (i)
involution: t↦t+:=t∗↾D, for all t∈LB+(D,X) and
2. (ii)
partial multiplication, specified by
[TABLE]
Definition 2.13
A +-invariant linear subspace M of LB+(D,X) is called a partial ∗-subalgebra of LB+(D,X) if t,s∈M, with t∈L(s) implies t∘s∈M.
Remark 2.6
Let X be a complete locally convex (B,τB)-module. Set D={z∈X:⟨x,z⟩B∈R(B),∀x,∈X}. In what follows, we shall assume that D is dense in X.
Proposition 2.4
For x,y∈X, define the map πx,yB:D→X as
[TABLE]
Then the map πx,yB is continuous and adjointable with adjoint
[TABLE]
Remark 2.7
*From the preceding, we note that, since D⊆\mboxdom((πx,yB)∗) we have, for n∈N, dom((∑j=1nπxj,yjB)∗)⊇\mboxdom((πx1,y1B)∗)⋂\mboxdom((πx2,y2B)∗)⋂⋯
⋂\mboxdom((πxn,ynB)∗)⊇D. It follows that ∑j=1nπxj,yjB∈LB+(D,X). Also, for α∈IC and πx,yB∈LB+(D,X), it is clear that απx,yB∈LB+(D,X). So we introduce the linear subspace
KB+(D,X)=span{πx,yB∈LB+(D,X):x,y∈X} of LB+(D,X).*
Proposition 2.5
KB+(D,X)* is a partial ∗-subalgebra and an ideal of LB+(D,X).*
3 Main Result
We introduce another B-valued inner product as follows. Let (B,τB) be a locally convex partial ∗-algebra, with involution ∗ and partial multiplication written as juxtaposition. Let τB be generated by a family {∣⋅∣α:α∈Δ} of seminorms. Let B0⊆R(B) be a linear subspace of B and (X,D) a pair comprising:
- (i)
a linear space X which is also a right B0-module; i.e., x.a+y.b∈X, whenever x,y∈X and a,b∈B0, where the action of B0 on X is written as z.c for z∈X, c∈B0 and
2. (ii)
a right B0-submodule D of X; i.e., x.b∈D, for x∈D, b∈B0.
We shall call the pair (X,D) a right partial B0-module. A left partial B0-module can be defined in a similar way; in this case, B0 would be a subset of L(B). If B0=R(B), then we shall call the pair (X,D) a right partial R(B)-module.
Definition 3.1
A B-valued partial-inner product on a right partial B0-module (X,D) is a conjugate-bilinear map ⟨⋅,⋅⟩B:X×X→B such that ⟨x,y⟩B∈B if and only if x∈D or y∈D and satisfying:
- (i)
⟨x,x⟩B∈B+,∀x∈D* and ⟨x,x⟩B=0 only if x=0;*
2. (ii)
⟨x,y⟩B∗=⟨y,x⟩B,∀x∈D* or ∀y∈D;*
3. (iii)
⟨x,y.b⟩B=⟨x,y⟩Bb,∀x∈D* or ∀y∈D, b∈B0.*
Example 3.1
Let (B,τB) be a locally convex, semi-associative partial ∗-algebra. Then B is a right R(B)-module (resp., a right M(B)-module). By semi-associativity of B, R(B) is an algebra (resp., M(B) is a ∗-algebra). It follows that R(B) is itself a right R(B)-submodule of B (resp., M(B) is itself a right M(B)-submodule of B). Thus the pair ((B,τB),R(B)) is a right partial R(B)-module (resp., ((B,τB),M(B)) is a right partial M(B)-module). Define ⟨⋅,⋅⟩B on ((B,τB),R(B)) (resp., ((B,τB),M(B))) by ⟨x,y⟩B=x∗y. Then x∗y∈B if and only if x∈R(B) or y∈R(B) (resp., if and only if x∈M(B) or y∈M(B)). ⟨⋅,⋅⟩B is a B-valued partial-inner product on ((B,τB),R(B)) (resp., ((B,τB),M(B))). Indeed:
- (i)
⟨x,x⟩B=x∗x∈B+,∀x∈R(B) (resp., x∈M(B)) and if x=0, then ⟨x,x⟩B=x∗x=0;
2. (ii)
⟨y,x⟩B∗=(y∗x)∗=x∗y=⟨x,y⟩B,∀x∈R(B) or y∈R(B) (resp., ∀x∈M(B) or y∈M(B)),
3. (iii)
⟨x,y.b⟩B=x∗(y.b)=(x∗y)b=⟨x,y⟩Bb,∀x∈R(B) or y∈R(B) and b∈R(B) (resp., ∀x∈M(B) or y∈M(B) and b∈M(B)).
Remark 3.1
*Let H be a Hilbert space and D a dense subspace of H. Let L+(D,H) be the partial ∗-algebra of closable operators t with \mboxdom(t)=D and partial multiplication ∘, given by t∘s:=t+∗s, defined if and only if sD⊆\mboxdom(t+∗) and t+D⊆\mboxdom(s∗). Let L+(D)={t∈L+(D,H):tD⊂D\mboxandt∗D⊂D}. Then L+(D) is a linear subspace of L+(D,H) and a ∗-algebra with respect to the usual operations. It follows that L+(D,H) is a right L+(D)-module and L+(D) is itself a right L+(D)-module. So the pair (L+(D,H),L+(D)) is a right partial L+(D)-module. Endow L+(D,H) with the weak topology τw, which is the locally convex topology defined by the family of seminorms: ∣t∣η,ξ:=∣⟨η,tξ⟩H∣,η,ξ∈D. Define an L+(D,H)-valued partial-inner product ⟨⋅,⋅⟩L+≡⟨⋅,⋅⟩L+(D,H) on (L+(D,H),L+(D)) by ⟨x,y⟩L+=x+∘y. Then (L+(D,H),L+(D)) is a locally convex (L+(D,H),τw)-module with the locally convex topology given by the family of seminorms: ∥x∥η,ξ:=∣⟨x,x⟩L+∣η,ξ21.
By the preceding we now give the following definition.*
Definition 3.2
Let (B,τB) be a locally convex partial ∗-algebra, B0⊆R(B) a linear subspace of B and π:B→L+(D,H) a ∗-representation such that π(B0)⊆L+(D). Let the pair (X,D) be such that X is an O∗-vector space on D and D a linear subspace of L+(D). Then (X,D) will be called a concrete locally convex partial ∗-algebraic module if the following conditions are satisfied:
- (i)
x∘b∈X, for all x∈X and b∈π(B0);
2. (ii)
x∘b∈D, for all x∈D and b∈π(B0);
3. (iii)
the partial-inner product ⟨x,y⟩B=x+∘y∈π(B), for all x∈D or y∈D.
Definition 3.3
*Let σ:D×D→L+(D,H) be a conjugate-bilinear map. We say that the map σ is positive definite if and only if, for every positive integer n,
∑j,k=1n⟨ξj,σ(xj,xk)ξk⟩H≥0 for all x1,⋯,xn∈D, and ξ1,⋯,ξn∈D, where ⟨⋅,⋅⟩H is the inner product of the Hilbert space H.*
Proposition 3.1
Let (B,τB) be a locally convex partial ∗-algebra and (X,D) a locally convex (B,τB)-module. Suppose that there exist a representation π of B onto some partial O∗-algebra of closable operators on D in the Hilbert space H and a map ϑ from (X,D) onto a concrete locally convex π(B)-module (Y,E) of closable operators on D in H. Then
[TABLE]
If (7) holds, then:
- (i)
ϑ(x.b)=ϑ(x)∘π(b), for all x∈X and b∈B0⊆R(B);
2. (ii)
the representation π:B→L+(D,H) is (necessarily) a ∗-map, i.e., π(b∗)=π(b)+, for all b∈B;
3. (iii)
the map ϑ is linear, and if π is faithful, then ϑ is injective.
**Proof. **
Let π:B→L+(D,H) be any representation of B into some partial O∗-algebra. Let ϑ:D→L+(D,H) be any map and let σ:X×X→L+(D,H) be a conjugate-bilinear map defined by σ(x,y)=ϑ(x)+∘ϑ(y). Then we have, for all x1,⋯,xn∈D, and ξ1,⋯,ξn∈D, n∈N, that
[TABLE]
It follows that the map σ is positive definite and so ϑ(x)+∘ϑ(x) is positive. Now set ϑ(x)+∘ϑ(y)=π(⟨x,y⟩B), where ϑ(x)+∘ϑ(y)=⟨ϑ(x),ϑ(y)⟩L+. Then
⟨ϑ(x),ϑ(y)⟩L+=π(⟨x,y⟩B), for all x∈D or y∈D.
- (i)
For all x∈X, y∈D and b∈B0, we have
[TABLE]
i.e.,
[TABLE]
2. (ii)
On the other hand, we have
[TABLE]
i.e.,
[TABLE]
Now (8) and (9) imply that π(b∗)=π(b)+, for all b∈B0. But since
⟨ϑ(x),ϑ(y)⟩L++=⟨ϑ(y),ϑ(x)⟩L+=π(⟨y,x⟩B)=π(⟨x,y⟩B∗) and
⟨ϑ(x),ϑ(y)⟩L++=π(⟨x,y⟩B)+, it follows that π(b∗)=π(b)+, for all b∈B.
3. (iii)
For all x,y∈X and z∈D,
[TABLE]
i.e., ϑ(x+y)=ϑ(x)+ϑ(y), for all x,y∈X.
It remains to show that ϑ is injective if π is faithful. Now let ϑ be a faithful representation and suppose ϑ(x)=ϑ(y), for all x,y∈D. Since ϑ is linear, this implies that ϑ(x−y)=0. It follows that 0=⟨ϑ(x−y),ϑ(x−y)⟩L+=π(⟨x−y,x−y⟩B), and since π is faithful we have ⟨x−y,x−y⟩B=0, whence x=y. Hence ϑ is injective.
Definition 3.4
Let ((X,D),⟨⋅,⋅⟩A,τD,A) and ((Y,E),⟨⋅,⋅⟩B,τE,B) be two (complete) locally convex partial ∗-algebraic modules such that φ:A→B is any linear map. A map ϑ:X→Y will be called a φ-map if ϑ and φ satisfy ⟨ϑ(x),ϑ(y)⟩B=φ(⟨x,y⟩A), for all x∈D or y∈D.
If φ is a homomorphism and ϑ is a φ-map, then ϑ will be called a φ-homomorphism. Finally, If φ=π is a representation and ϑ is a π-map, then ϑ will be called a π-representation.