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(UNBOUNDED) HILBERT ALGEBRAS

DANA PICIU and C ˘AT ˘ALIN BUS¸NEAG

In this paper we develop a theory of localization for unbounded commutative Hilbert algebras. For bounded case see [4] and [6].

AMS 2000 Subject Classification: 03G25, 18A15, 18C05.

Key words: Hilbert algebra, commutative Hilbert algebra, algebra of fractions, maximal algebra of quotients,∨-closed system, topology, localization algebra.

1. INTRODUCTION

Hilbert algebras are important tools for certain investigations in algebraic logic since they can be considered as fragments of any propositional logic con- taining a logical connective implication and the constant 1 which is considered as the logical value “true”. The concept of Hilbert algebras was introduced in the 50-ties by L. Henkin and T. Skolem (under the name implicative models) for investigations in intuitionistic logics and other non-classical logics. Diego [9] proved that Hilbert algebras form a variety which is locally finite. They were studied from various points of view.

In this paper we develop a theory of localization for commutative (un- bounded) Hilbert algebras, and then we deal with generalizations of results which are obtained in the papers [4] and [5] for bounded case.

This paper is organized as follows: In Section 2 we recall the basic defi- nitions and put in evidence many rules of calculus in commutative Hilbert al- gebras which we need in the rest of paper (especiallyc11–c14). In Section 3 we introduce the commutative Hilbert algebra of fractions relative to a ∨-closed system. In Section 4 we develop a theory for multipliers on a commutative (unbounded) Hilbert algebra. In Section 5 we define the notions of Hilbert algebras of fractions and maximal Hilbert algebra of quotients for a commu- tative (unbounded) Hilbert algebra. In the least part of this section is proved the existence of the maximal Hilbert algebra of quotients (Theorem 21). In Section 6 we develop a theory of localization for commutative (unbounded) Hilbert algebras. So, for a commutative (unbounded) Hilbert algebra A we

MATH. REPORTS12(62),3 (2010), 285–300

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define the notion of localization Hilbert algebra relative to a topology F on A. In Section 7 we describe the localization Hilbert algebra AF in some spe- cial instances.

For a survey relative to localization and fractions in algebra of logic see [15].

2. PRELIMINARIES

In this paper the symbols⇒ and ⇔ will be used for logical implication and logical equivalence, respectively.

Definition 1 ([2]–[6], [9]). A Hilbert algebra is an algebra (A,→,1) of type (2,0) such that the axioms

(a1) x→(y→x) = 1;

(a2) (x→(y →z))→((x→y)→(x→z)) = 1;

(a3) if x→y=y→x= 1,thenx=y are fulfilled for every x, y, z∈A.

In [9] it is proved that the system of axioms {a1, a2, a3} is equivalent with the system {a4, a5, a6, a7}, where

(a4) x→x= 1;

(a5) 1→x= 1;

(a6) x→(y→z) = (x→y)→(x→z);

(a7) (x→y)→((y→x)→x) = (y →x)→((x→y)→y).

For examples of Hilbert algebras see [2]–[5] and [7]. If A is a Hilbert algebra, then the relation ≤defined byx ≤y iff x→ y= 1 is a partial order onA(called thenatural order onA); with respect to this order 1 is the largest element of A. A bounded Hilbert algebra is a Hilbert algebra with a smallest element 0; in this case, for x∈Awe denote x=x→0.

Following [2]–[6] and [9], in a Hilbert algebra A we have the following rules of calculus for x, y, z ∈A:

(c1) x→1 = 1;

(c2) x≤y→x;

(c3) x≤(x→y)→y;

(c4) ((x→y)→y)→y =x→y;

(c5) x→y≤(y→z)→(x→z);

(c6) if x≤y, thenz→x≤z→y and y→z≤x→z;

(c7) x→(y→z) =y→(x→z).

Forx1, . . . , xn, x∈A,a convenient technical device is the compact nota- tion x1 →(x2 → (. . .→ (xn→ x). . .) = (x1, . . . , xn;x) which can be defined

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by induction: (x1;x) = x1 → x, (x1, . . . , xn+1;x) = (x1, . . . , xn;xn+1 → x).

Then (see [4]) we have

(c8) ifσis a permutation of{1,2, . . . , n}(n≥2),then (xσ(1), . . . , xσ(n);x) = (x1, . . . , xn;x);

(c9) x→(x1, . . . , xn;y) = (x, x1, . . . , xn;y).

Definition 2. If A is a Hilbert algebra, a subset D of A is a deductive system ofA if the following axioms are satisfied:

(a8) 1∈D;

(a9) if x, x→y ∈D, theny∈D.

We denote byDs(A) the set of all deductive systems of A.

For a nonempty subset X ⊆ A, we denote by [X) = T

{D ∈ Ds(A) : X ⊆D}([X) is called thedeductive system generated by X).IfS ={a},with a∈ A,we denote by [a) the deductive system generated by {a} ([a) is called principal).

Proposition1 ([4]). IfA is a Hilbert algebra andX⊆Ais a nonempty subset, then

(c10) [X) ={x∈A:there existx1, . . . , xn∈Xsuch that(x1, . . . , xn;x) = 1}.

In particular, from(c10)we deduce that ifx1, . . . , xn∈A,then[{x1, . . . , xn}) = {x∈A: (x1, . . . , xn;x) = 1}.If a∈A, then[a) ={x∈A:a≤x}.

Definition 3. IfA1, A2 are Hilbert algebras, then f :A1 → A2 is called morphism of Hilbert algebras if

(a10) f(x→y) =f(x)→f(y) for everyx, y∈A1.

Definition 4 ([11], [12]). A Hilbert algebraA is said to be commutative if it satisfies the axiom

(a11) (x→y)→y= (y →x)→x,for everyx, y∈A.

For examples of commutative Hilbert algebras see [11], [12].

Proposition 2 ([11], [12]). If A is a commutative Hilbert algebra, then relative to the natural order, A is a join-semi lattice where, for x, y∈A,

(c11) x∨y = (x→y)→y= (y→x)→x.

Proof. From (c2) and (c3) we have x, y ≤(x → y) → y. Let now t ∈A such that x, y ≤t. From (c6) we deduce t → y ≤ x → y ⇒ (x → y) → y ≤ (t→y)→y= (y →t)→t= 1→t=t, that is, x∨y= (x→y)→y .

Remark 1. If A is a bounded commutative Hilbert algebra, then A is a Boolean algebra (since for every x ∈A from (x→ 0)→0 = (0→x)→x ⇒ x∗∗=x⇒A is a Boolean algebra, see Lemma 2.7 from [3]).

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Remark 2. IfA1, A2 are commutative Hilbert algebras and f :A1 →A2

is a morphism of Hilbert algebras, then

(c12) f(x∨y) =f(x)∨f(y),for everyx, y∈A1.

Lemma 3. For everyx, y, z ∈A there exists (x→z)∧(y →z) and (c13) (x∨y)→z = (x→z)∧(y→z).

Proof.Sincex, y≤x∨y,by (c6) we deduce thatx→z, y→z≤(x∨y)→ z. Let now t∈A such that t≤x →z, y →z. Then x, y ≤t→ z ⇒x∨y≤ t→z⇒ t≤(x∨y)→z,that is, (x∨y)→z= (x→z)∧(y→z).

Corollary 4. For every x, y, z∈A we have (c14) x∨(y→z) = (x∨y)→(x∨z).

Proof. By (c13) we have (x∨y) → (x∨z) = (x → (x∨z))∧(y → (x∨z)) = 1∧(y → (x∨z)) = y → (x∨z) = y → ((x → z) → z) and x∨(y→z) = (x→(y→z))→ (y →z) = (y →(x →z))→(y →z) =y → ((x→z)→z),hence (c14) holds.

3. COMMUTATIVE HILBERT ALGEBRA OF FRACTIONS RELATIVE TO A∨-CLOSED SYSTEM

In this section by A we denote a commutative (unbounded) Hilbert al- gebra.

Definition 5. A nonempty subset S of A will be called ∨-closed system of A if

(a11) x∨y ∈S for everyx, y∈S.

For a ∨-closed system S ⊆A we define the binary relation θS on A by (x, y)∈θS iff there is s∈S such thats∨x=s∨y.

Proposition 5. The relationθS is a congruence onA.

Proof. Clearly,θS is an equivalence relation onA.To prove the compati- bility ofθSwith operation→, letx, y, z ∈Asuch that (x, y)∈θS(hence there is s∈S such thats∨x=s∨y).By (c14) we deduce s∨(z→x) = (s∨z)→ (s∨x) = (s∨z)→(s∨y) =s∨(z→y),and similarly,s∨(x→z) =s∨(y→z), that is, (z→x, z →y),(x→z, y→z)∈θS .

We denote A[S] =A/θS; the commutative Hilbert algebra A[S] will be called Hilbert algebra of fractions of A relative to S. Forx∈Awe denote by [x]θS the equivalence class of x relative to θS. Clearly, in A[S], 1 = [1]θS = {x∈A: (x,1)∈θS}={x∈A: there iss∈S such thats∨x= 1}.

Proposition 6. A[S] is a bounded commutative Hilbert algebra, when 0= [s]θS with s∈S.

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Proof.Clearly, ifs, t∈S,sincer=s∨t∈S and r∨s=r∨t⇒[s]θS = [t]θS. To prove that for s∈ S,[s]θS =0,let x ∈A. We have [s]θS ≤[x]θS ⇔ [s]θS ∨[x]θS = [x]θS ⇔ [s∨x]θS = [x]θS which is true because s∨(s∨x) = s∨x.

We denote bypS:A→A[S] the canonical surjective morphism of Hilbert algebras (defined by ps(x) = [x]θS,for everyx∈A).

A[S] verify the following property of universality:

Theorem7. For every bounded commutative Hilbert algebraB and every morphism of Hilbert algebras f :A→B such that f(S) ={0}, there exists a unique morphism of Hilbert algebras f0 :A[S]→B such that the diagram:

A −→ps A[S]

&

f

.

f0

B is commutative (i.e., f0◦pS =f).

Proof. Let x, y ∈ A such that [x]θS = [y]θS. Then there is s ∈ S such that s∨x = s∨y ⇒ f(s∨x) = f(s∨y) ⇒ f(s)∨f(x) = f(s)∨f(y) ⇒ 0∨f(x) = 0∨f(y)⇒f(x) =f(y).

So, f0 : A[S] → B defined for x ∈ A by f0([x]θS) = f(x) is correctly defined. Clearly, f0 is morphism of Hilbert algebras and f0 ◦ps = f. The unicity of f0 follows from the surjectivity of ps.

4. MULTIPLIERS ON A COMMUTATIVE HILBERT ALGEBRA

The concept ofmaximal lattice of quotients for a distributive lattice was defined by Schmid in ([16], [17]) taking as a guide-line the construction of complete ring of quotients by partial morphisms introduced by Findlay and Lambek (see [13], p. 36). The central role in the construction of the maximal lattice maximal lattice of quotients for a distributive lattice due to Schmidt ([16] and [17]) is played by the concept of multiplier for a distributive lattice defined by Cornish [7].

In this section we develop a theory for multipliers on a commutative (unbounded) Hilbert algebraA.

Definition 6. A subset S ⊆A is called ∨-subset of A if for everya∈A and x∈S we have a∨x∈S.

We denote byS(A) the set of all∨-subsets ofA.Clearly,Ds(A)⊆S(A) (and more generally, if denote by I(A) the set of all increasing subsets of A (I ∈ I(A) iff x ≤ y and x ∈ I, then y ∈ I), then I(A) ⊆S(A)). Clearly, if D1, D2 ∈S(A),thenD1∩D2∈S(A).

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Lemma 8. If D∈S(A),then (i) 1∈D;

(ii) if x≤y and x∈D,theny ∈D.

Proof. (i) Ifx∈D,since 1∈A,then 1 = 1∨x∈D.

(ii) Ifx≤y,theny =x∨y.

Definition 7. By partial multiplier on A we mean a map f : D → A, where D∈S(A),such that

(a12) f(a∨x) =a∨f(x), for every x∈D anda∈A.

By dom(f) ∈ S(A) we denote the domain of f; if dom(f) = A, f is called total.

To simplify the language, we use multiplier instead partial multiplier using total to indicate that the domain of a certain multiplier isA.

Example1. The maps0,1:A→Adefined by0(x) =xand respectively 1(x) = 1,for everyx∈Aare total multipliers on A.

Example 2. For a∈ A and D ∈S(A), the map fa :D → A defined by fa(x) =a∨x,for everyx∈Dis a multiplier on A (calledprincipal).

If dom(fa) =A,we denote fa by fa .

Lemma 9. If f :D→A is a multiplier on A (with D∈S(A)),then (i) f(1) = 1;

(ii) for everyx∈D, x≤f(x).

Proof. (i) If in (a12) we put a = 1, we obtain that for every x ∈ D, f(1∨x) = 1∨f(x)⇔f(1) = 1.

(ii) If in (a12) we put a =x, we obtain f(x∨x) = x∨f(x) ⇔ f(x) = x∨f(x)⇔x≤f(x).

ForD ∈S(A), we denoteM(D, A) ={f :D→A :f is a multiplier on A}and M(A) = S

D∈S(A)

M(D, A).

For D1, D2 ∈ S(A) and fi ∈ M(Di, A), i = 1,2, we define f1 → f2 : D1∩D2→A by (f1 →f2)(x) =f1(x)→f2(x),for everyx∈D1∩ D2.

Lemma 10. f1→f2 ∈M(D1∩D2, A).

Proof. If x ∈D1∩D2 and a∈A, then (f1 → f2)(a∨x) = f1(a∨x) → f2(a∨x) = (a∨f1(x))→(a∨f2(x))c=14 a∨(f1(x)→f2(x)) =a∨(f1→f2)(x), that is, f1 →f2 ∈M(D1∩D2, A).

Corollary 11. (M(A),→,1,0) is a bounded Hilbert algebra.

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Proof. The fact that M(A) is a Hilbert algebra follows immediately from Lemma 10. If D ∈S(A), f ∈M(D, A) and x ∈D, then by Lemma 9, 0(x) =x≤f(x)≤1 =1(x).

Lemma 12. The map vA :A → M(A) defined by vA(a) = fa for every a∈A is a morphism of Hilbert algebras.

Proof. If a, b ∈ A then (fa → fb)(x) = fa(x) → fb(x) = (a∨x) → (b∨x)c= (a14 →b)∨x=fa→b(x),so, vA(a)→vA(b) =vA(a→b).

Definition 8. D ⊆ A is called regular if for every x, y ∈ A such that z∨x=z∨y for everyz∈D,then x=y.

For example, A is regular since if x, y ∈ A such that z∨x = z∨y for every z ∈A, then in particular, forz =x we obtain x =x∨y ⇒ y ≤x and analogously for z=y we obtainx≤y,hence x=y.

IfA is bounded and 0∈D,thenD is regular.

We denote R(A) ={D⊆A:Dis a regular subset of A}.

Lemma 13. If D1, D2 ∈S(A)∩R(A), thenD1∩D2 ∈S(A)∩R(A).

Proof. Let x, y ∈ A such that z∨x = z∨y for every z ∈ D1 ∩D2. For every zi ∈ Di, i = 1,2, since z1∨z2 ∈ D1∩D2 we have (z1∨z2)∨x = (z1∨z2)∨y⇒z1∨(z2∨x) =z1∨(z2∨y)⇒z2∨x=z2∨y⇒x=y.

Corollary 14. If denote Mr(A) = {f ∈ M(A) : dom(f) ∈ S(A)∩ R(A)}, thenMr(A) is a Hilbert subalgebra ofM(A).

Definition 9. Given two multipliers f1, f2 on A, we say thatf1 extends f2 if dom(f2) ⊆ dom(f1) and f1(x) = f2(x), for all x ∈ dom(f2); we write f2 ≤ f1 if f1 extends f2. A multiplier f is called maximal if f can not be extended to a strictly larger domain.

Lemma15. (i) Iff1, f2∈M(A), f ∈Mr(A) and f ≤f1, f ≤f2,thenf1

and f2 coincide on the dom(f1)∩dom(f2);

(ii)Every multiplierf ∈Mr(A) can be extended to a maximal multiplier.

More precisely, each principal multiplier fa witha∈Aand dom(fa)∈S(A)∩ R(A)can be uniquely extended to the total multiplierfaand each non-principal multiplier can be extended to a maximal non-principal one.

Proof. (i) If there exists t∈dom(f1)∩dom(f2) such that f1(t)6=f2(t), since dom(f) ∈ R(A), then there exists t0 ∈ dom(f) such that t0 ∨f1(x) 6=

t0∨f2(x)⇔f1(t0∨t)6=f2(t0∨t), which is contradictory sincet0∨t∈dom(f).

(ii) We first prove that fa cannot be extended to a non-principal multi- plier. Let D= dom(fa)∈S(A)∩R(A), fa :D→A and suppose by contrary that there exists D0 ∈ S(A), D⊆D0 (hence D0 ∈R(A)) and a non-principal

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multiplier f ∈M(D0, A) which extendsfa.Since f is non-principal, there ex- ists x0 ∈D0,x0 ∈/ D such that f(x0) 6=a∨x0. Since D∈R(A),there exists t ∈D such that t∨f(x0) 6=t∨(a∨x0) ⇔f(t∨x0)6=a∨(t∨x0),which is contradictory since fa≤f. Hencefa is uniquely extended byfa.

Now, let f ∈ Mr(A) be non-principal and Mf = {(D, g) : D ∈ S(A), g ∈ M(D, A), dom(f) ⊆ D and g|dom(f) = f} (clearly, if (D, g) ∈ Mf, then D∈S(A)∩R(A)).

The setMf is ordered by (D1, g1)≤(D2, g2) iffD1 ⊆D2 andg2|D1 =g1. Let {(Dk, gk) : k ∈ K} be a chain in Mf. Then D0 = S

k∈K

Dk ∈ S(A) and dom(f)⊆D0.So,g0 :D0 →A defined byg0(x) =gk(x) ifx∈Dk is correctly defined (since if x∈Dk∩Dtwith k, t∈K,then by (i),gk(x) =gt(x)).

Clearly,g0 ∈M(D0, A) and g0|dom(f) =f (since if x∈dom(f)⊆D0, then x∈D0 and so there existsk∈Ksuch thatx∈Dk,henceg0(x) =gk(x) =f(x)).

So, (D0, g0) is an upper bound for the family{(Dk, gk) :k∈K},hence by Zorn’s lemma, Mf contains at least one maximal multiplier h which extends f. Since f is non-principal and hextends f, h is also non-principal.

On the Hilbert algebra Mr(A) we consider the relation ρA defined by (f1, f2)∈ρA ifff1 and f2 coincide on the intersection of their domains.

Lemma 16. ρA is a congruence on Mr(A).

Proof. The reflexivity and symmetry ofρAare immediately; to prove the transitivity of ρA let (f1, f2),(f2, f3)∈ ρA. Therefore, f1, f2 and respectively f2, f3 coincide on the intersection of their domains. If by contrary, there exists x0 ∈ dom(f1)∩dom(f3) such that f1(x0) 6= f3(x0), since dom(f2) ∈ R(A), there exists t ∈ dom(f2) such that t∨f1(x0) 6= t∨f3(x0) ⇔ f1(t∨x0) 6=

f3(t∨x0) which is contradictory, sincet∨x0 ∈dom(f1)∩dom(f2)∩dom(f3).

The compatibility ofρA with→ on Mr(A) is immediate.

For f ∈ Mr(A) we denote by [f] the congruence class of f modulo ρA

and A00=Mr(A)/ρA .

Lemma17. The mapvA:A→A00defined byvA(a) = [fa]is an injective morphism of Hilbert algebras and vA(A)∈R(A00).

Proof. The fact thatvAis a morphism of Hilbert algebras follows from Lemma 12. To prove the injectivity ofvAleta, b∈Asuch thatvA(a) =vA(b).

Then [fa] = [fb]⇔(fa, fb) ∈ρA⇔fa(x) =fb(x),for every x∈A⇔x∨a= x∨b,for everyx∈A⇔a=b.

To prove vA(A) ∈ R(A00), if by contrary there exist f1, f2 ∈ Mr(A) such that [f1]6= [f2] (that is, there exists x0 ∈dom(f1)∩dom(f2) such that f1(x0) 6=f2(x0)) and [f1]∨[fa] = [f2]∨[fa]⇔ [f1∨fa] = [f2∨fa] for every a ∈ A, then for a = x0 we obtain that for every x ∈ dom(f1)∩dom(f2),

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(f1 ∨fx0)(x) = (f2 ∨fx0)(x) ⇔ x0 ∨x∨f1(x) = x0 ∨x∨f2(x). For x = x0 we obtain that f1(x0)∨x0 = f2(x0) ∨x0 ⇔ f1(x0) = f2(x0), which is contradictory.

Remark 3. Since for every a ∈ A, fa is the unique maximal multiplier on [fa] (by Lemma 15) we can identify [fa] with fa. So, since vA is injective morphism of Hilbert algebras, the elements of A can be identified with the elements of the set {fa:a∈A}.

Lemma 18. In view of the identifications made above, if [f]∈A00 (with f ∈Mr(A) and D= dom(f)∈S(A)∩R(A)),then

D⊆ {a∈A:fa∨[f]∈A}.

Proof. Let a∈D.If by contrary, fa∨[f]∈/ A (that is [fa∨f]∈/ vA(A)), then fa∨f is a non-principal multiplier.

Then by Lemma 15 (ii),fa∨f can be extended to a non-principal maxi- mal multiplier f : D → A with D ∈ S(A). Thus, D ⊆ D and for every x ∈ D, f(x) = (fa∨f)(x) = a∨x∨f(x) = a∨f(x). Since a ∈ D, then f(x) = f(a∨x) = x∨f(a), that is, f|D is principal which is contradictory with the assumption that f is non-principal.

5. MAXIMAL COMMUTATIVE HILBERT ALGEBRA OF QUOTIENTS

The goal of this section is to define (taking as a guide-line the case of distributive lattices) the notions of Hilbert algebra of fractions and maximal Hilbert algebra of quotients for a commutative (unbounded) Hilbert algebra (for the case of bounded Hilbert algebras see [4]).

For some informal explanations of notions of fraction see [12, p. 37] for the case of rings.

Definition 10. A commutative Hilbert algebraA0is calledHilbert algebra of fractions of Aif

(a13) A is a Hilbert subalgebra ofA0;

(a14) for everya0, b0, c0∈A0,a06=b0,there existsa∈Asuch thata∨a06=a∨b0 and a∨c0∈A.

So, every commutative Hilbert algebra is a Hilbert algebra of fractions of itself.

As a notational convenience, we write A ≺ A0 to indicate that A0 is a Hilbert algebra of fractions ofA.

Definition 11. Q(A) is the maximal (commutative) Hilbert algebra of quotients of A if A ≺ Q(A) and for every A0 with A ≺ A0 there exists a monomorphism of Hilbert algebras i:A0 →Q(A).

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Lemma 19. Let A ≺ A0; then for every a0, b0 ∈ A0, a0 6= b0, and any finite sequence c01, . . . , c0n∈A0, there existsa∈A such that a∨a0 6=a∨b0 and a∨c0i ∈A for i= 1,2, . . . , n, n≥2.

Proof. Assume lemma holds true for n−1.So we may find b∈ A such that b∨a0 6= b∨b0 and b∨c0i ∈ A for i = 1,2, . . . , n−1. Since A ≺ A0, we find c ∈ A such that c∨(b∨a0) 6= c∨(b∨b0) and c∨c0n ∈ A. The element a=b∨c∈A has the required properties.

Lemma 20. Let A≺A0 anda0 ∈A0.Then Da0 ={a∈A:a∨a0 ∈A} ∈ S(A)∩R(A).

Proof. If a∈ A and x ∈ Da0, then x∨a0 ∈ A and since (a∨x)∨a0 = a∨(x∨a0)∈A it followsa∨x∈Da0,hence Da0 ∈S(A).

If on the contrary, x 6= y, since A ≺ A0, there exists a0 ∈ A such that a0∨a0 ∈A(that is a0 ∈Da0) anda0∨x6=a0∨y,which is contradictory.

Theorem 21. A00 (defined in Section 4) is the maximal (commutative) Hilbert algebra of quotients Q(A) of A.

Proof. The fact that A is a Hilbert subalgebra of Q(A) follows from Lemma 17 and Remark 3. To prove A ≺ Q(A), let [f],[g],[h] ∈ Q(A) with f, g, h∈Mr(A) such that [g]6= [h] (that is, there existsx0 ∈dom(g)∩dom(h) such that g(x0)6=h(x0)).

PutD= dom(f)∈S(A)∩R(A) and D[f]={a∈A:fa∨[f]∈A}.Then by Lemma 18, D⊆D[f].

If we suppose that for every a∈ D, fa∨[g] = fa∨[h], then [fa∨g] = [fa∨h], hence for everyx∈dom(g)∩dom(h) we have (fa∨g)(x) = (fa∨h)(x)

⇔(analogously as in the proof of Lemma 17)⇔ a∨x∨g(x) =a∨x∨h(x)⇔ a∨g(x) =a∨h(x).

Since D ∈ R(A) we deduce that g(x) = h(x) for every x ∈ dom(g)∩ dom(h), so [g] = [h], which is contradictory. Hence, if [g] 6= [h], then there exists a ∈ D, such that fa ∨[g] 6= fa ∨[h]. But for this a ∈ D we have fa∨[f]∈A (sinceD⊆D[f]), hence A≺Q(A).

To prove the maximality ofQ(A),letA0 be a commutative Hilbert alge- bra such thatA≺A0; ThenA0 is embedded inQ(A) byi:A0 →Q(A) defined by i(a0) = [fa0], for every a0 ∈ A0, where dom(fa0) = Da0 (see Lemma 20).

Clearly,fa0 ∈Mr(A) andiis a morphism of Hilbert algebras (see Lemma 12).

To prove the injectivity of i, let a0, b0 ∈ A0 such that i(a0) = i(b0) ⇔ [fa0] = [fb0]⇔ fa0(x) =fb0(x) for everyx∈Da0∩Db0.If a0 6=b0,by Lemma 19 (since A ≺ A0), there exists a ∈ A such that a∨a0, a∨b0 ∈ A and a∨a0 6= a∨b0 which is contradictory (since a∨a0, a∨b0 ∈A impliesa∈Da0 ∩Db0).

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Remark 4. Following Remark 1, ifAis bounded, thenAis a Boole alge- bra. So, in this caseQ(A) is just the classical Dedekind-Mac Neille completion of A (see [13], p. 239).

6. LOCALIZATION OF COMMUTATIVE HILBERT ALGEBRAS

The concept of multiplier for distributive lattices was defined by Cor- nish [7]. Schmid [16], used the multipliers in order to give a non–standard construction of the maximal lattice of quotients for a distributive lattice. A direct treatment of the lattices of quotients can be found in [17].

G. Georgescu [10] exhibited the localization latticeLF of a distributive lattice Lwith respect to a topology F on Lin a similar way as for rings (see [14]) or monoids (see [18]).

The concept of Hilbert algebra of fractions relative to a∨-closed system, maximal Hilbert algebra of quotients and Hilbert algebra of localization was studied by Busneag [2]–[6] forbounded case (taking as a guide-line the case of distributive lattices).

The aim of this section is to define the notion of localization Hilbert algebra of a commutative (unbounded) Hilbert algebra. In the last part of this paper is proved that the maximal (commutative) Hilbert algebra of frac- tions (defined in Section 4) and the (commutative) Hilbert algebra of fractions relative to a ∨-closed system (defined in Section 3) are Hilbert algebras of lo- calization.

In this section by A we denote a commutative (unbounded) Hilbert al- gebra and by S(A) the set {D ⊆A:a∈ A, x∈D ⇒a∨x ∈D}. We have, Ds(A) ⊆ S(A) and every D ∈ S(A) is a ∨-closed system of A. Clearly, if D∈S(A),then 1∈Dand if x≤y and x∈D,theny=x∨y∈D.

Definition 12. A non-empty family F of elements onS(A) will be called a topology on A when

(a15) if D1∈ F,D2∈S(A) and D1 ⊆D2, thenD2∈ F (hence A∈ F);

(a16) if D1, D2 ∈ F then D1∩D2 ∈ F.

Example 3. If D∈S(A) then the set F(D) ={D0 ∈S(A) :D⊆D0} is a topology on A.

Example 4. We recall that by R(A) we denote the set of all regular subsets of A (see Definition 8). Then F =S(A)∩R(A) is a topology on A, see Lemma 13.

Example 5. Let S ⊆ A a ∨-closed subset of A (see Definition 5). If we denote by FS={D∈S(A) :D∩S6=},then FS is a topology onA.

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In the following by A we denote a commutative (unbounded) Hilbert algebra and by F a topology on A. Let us consider the relation θF of A defined by

(x, y)∈θF ⇔there existsD∈ F such thatt∨x=t∨y for anyt∈D.

As in the case ofθS(see Proposition 5), we deduce thatθFis a congruence on A.We shall denote byx/θF the congruence class of an elementx∈A and by pF :A→A/θF the canonical morphism of Hilbert algebras.

Definition 13. A F-multiplier on A is a mappingf :D →A/θF where D∈ F such that

(a17) f(a∨x) =a/θF ∨f(x)

for every a∈A and x∈D. Clearly, x/θF ≤f(x) for everyx∈D.

IfF ={A},thenF-multiplier is a total multiplier in sense of Definition 7.

The maps0,1:A→A/θF defined by0(x) =x/θF and1(x) = 1/θF for every x∈D areF-multipliers.

Also, for a ∈ A, fa : D → A/θF defined by fa(x) = a/θF ∨x/θF for every x∈D,is aF-multiplier.

We shall denote by M(D, A/θF) the set of all the F-multipliers having the domain D ∈ F. If D1, D2 ∈ F, D1 ⊆ D2, we have a canonical mapping ϕD1,D2 :M(D2, A/θF) → M(D1, A/θF) defined by ϕD1,D2(f) =f|D1 forf ∈ M(D2, A/θF).Let us consider the directed system of setsh{M(D, A/θF)}D∈F, {ϕD1,D2}D1,D2∈F,D1⊆D2iand denote byAF the inductive limit (in the category of sets): AF = lim−→

D∈F

M(D, A/θF).

For anyF-multiplierf :D→A/θF we shall denote by(D, f\) the equiva- lence class of f inAF.

Remark 5. We recall that if fi : Di → A/θF, i= 1,2, are multipliers, then (D\1, f1) = (D\2, f2) (in AF) iff there exists D ∈ F, D ⊆D1∩D2, such that f1|D =f2|D.

Let fi : Di → A/θF, (with Di ∈ F, i = 1,2), F-multipliers. Let us consider the mapping f1 →f2 :D1∩D2 → A/θF defined by (f1 → f2)(x) = f1(x)→f2(x),for any x∈D1∩D2,and let

(D\1, f1)7−→(D\2, f2) =(D1∩D\2, f1→f2).

This definition is correct. Indeed, let fi0 : Di0 → A/θF, with Di0 ∈ F, i = 1,2, such that(D\i, fi) =(D\0i, fi0), i= 1,2. Then there exist D001, D200 ∈ F such thatD001 ⊆D1∩D01 and D200⊆D2∩D02 and f1|D00

1 =f1|D0 00 1, f2|D00

2 =f2|D0 00 2. If we set D00 = D001 ∩D002 ⊆ D1 ∩D2 ∩D01 ∩D02, then D00 ∈ F and clearly (f1→f2)|D00 = (f10 →f20)|D00,hence(D1∩D\2, f1→f2) =(D10 ∩D\20, f10 →f20).

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Lemma 22. f1→f2 ∈M(D1∩D2, A/θF).

Proof. If x ∈D1∩D2 and a∈A, then (f1 → f2)(a∨x) = f1(a∨x) → f2(a∨x) = (a/θF ∨f1(x))→(a/θF ∨f2(x))c=14a/θF∨(f1 →f2)(x).

Corollary 23. (AF,7→,0,1) is a bounded commutative Hilbert algebra (where 0=(A,[0) and 1=(A,[1)) (see Corollary 11).

Definition 14. AF will be called thelocalization Hilbert algebra of Awith respect to the topology F .

Lemma 24. The mapping vF :A → AF defined by vF(a) = (A, f\a) for every a∈ A is a morphism of Hilbert algebras and vF(A) is a regular subset of AF.

Proof. If a, b∈Athen

vF(a)7→vF(b) =(A, f\a)7→(A, f\b) =(A, f\a→fb) =(A, f\a→b) =vF(a→b).

To prove thatvF(A) is a regular subset ofAF,let(D\i, fi)∈AF, Di ∈ F, i= 1,2,such that(A, f\a)∨(D\1, f1) =(A, f\a)∨(D\2, f2) for everya∈A.

Then (D1\, fa∨f1) = (D2\, fa∨f2) ⇔ hence there exists D ⊆ D1∩D2, D∈ F such that (fa∨f1)|D = (fa∨f2)|D ⇔(a∨x)/θF∨f1(x) = (a∨x)/θF∨f2, for every x∈D anda∈A.

If in this last equivalence we choose a = x ∈ D, then we obtain that x/θF ∨f1(x) = x/θF ∨f2(x) ⇔ f1(x) = f2(x) ⇔ (D\1, f1) = (D\2, f2), hence vF(A) is a regular subset ofAF.

7. APPLICATIONS

In the following we describe the localization Hilbert algebraAF in some special instances.

1. If D ∈ S(A) and F is the topology F(D) = {D0 ∈ S(A) : D ⊆ D0} (see Section 4), then AF ⊆ M(D, A/θF) and vF : A → AF is defined by vF(a) =(D, f\a|D) for any a∈A.

For x, y ∈ A we have (x, y) ∈ θF ⇔ for every t ∈ D, t∨x = t∨y ⇔ fx|D = fy|D ⇔ vF(x) = vF(y) then there exists an injective morphism of Hilbert algebras ϕ:A/θF →AF such that the diagram

A −→vF AF

&

pF

%

ϕ

A/θF

is commutative.

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2. If F = R(A) ∩S(A) then θF is the identity congruence of A and AF = lim−→

D∈F

M(D, A).

In this situation it is easy to see thatvF is injective, so we have

Proposition25. In the caseF =I(A)∩R(A), AF is exactly the maxi- mal(commutative)Hilbert algebra of quotientsQ(A)ofA(see Section5, Theo- rem 21).

3. Let S be a ∨-closed system of A. We recall (see Proposition 5) that on A we have the congruenceθS defined by: (x, y)∈θS ⇔ there existss∈S such that s∨x =s∨y and A[S] = A/θS is called the (commutative) Hilbert algebra of fractions of A relative to the ∨-closed system S (see Section 3).

In this case we have the topology FS associated with S,FS = {D ∈ S(A) :D∩S 6=}.

Lemma 26. θFSS.

Proof. For x, y∈ A,if (x, y)∈ θFS then there exists D ∈ FS such that s∨x = s∨y for every s ∈ S. Since D∩S 6= there existss0 ∈ D∩S; in particular, we obtain s0∨x=s0∨y,hence (x, y)∈θS,that is, θFS ⊆θS.

If (x, y)∈θSthens0∨x=s0∨y,for somes0 ∈S.If considerD= [s0) (the principal deductive system generated bys0),thenD∈ FS (sinces0∈D∩S).

If s∈Dthen s0≤s⇒s=s∨s0 hence s∨x= (s∨s0)∨x=s∨(s0∨x) = s∨(s0∨y) = (s∨s0)∨y=s∨y⇒(x, y)∈θFS ⇒θS⊆θFS ⇒θFSS. Proposition 27. If FS is the topology onA associated with a ∨-closed subset S of A, then the commutative Hilbert algebras A[S] and AFS are iso- morphic.

Proof. By Lemma 26, θFS = θS, therefore a FS-multiplier can be con- sidered in this case as a mappingf :D→A[S] (D∈ FS) having the property f(a∨x) =a/θS∨f(x),for everyx∈D and a∈A.

If (D\1, f1),(D\2, f2) ∈ AFS = lim−→

D∈FS

M(D, A[S]), and (D\1, f1) = (D\2, f2) then there exists D ∈ FS such that D ⊆ D1 ∩D2 and f1|D = f2|D. Since D, D1, D2 ∈ FS,thenD∩S, D1∩S, D2∩S are nonempty, hence there exists∈ D∩S,s1 ∈D1∩Sands2 ∈D2∩S.We shall prove thatf1(s1) =f2(s2).Indeed, if consider t=s∨s1∨s2 ∈D∩S,thenf1(t) =s/θS∨s2S∨f1(s1) =f1(s1) (since s/θS =s2S =0) and analogously f2(t) =f2(s2) ⇒ f1(s1) =f2(s2).

In a similar way we can show that f1(s1) =f2(s2) for any s1, s2∈D∩S.

In accordance with these considerations we can define the mappingα : AFS = lim−→

D∈FS

M(D, A[S])→A[S] by puttingα((D, f\)) =f(s), wheres∈D∩S.

It is easy to prove that α is a morphism of Hilbert algebras.

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We shall prove thatαis injective and surjective. To prove the injectivity of αlet(D\1, f1),(D\2, f2)∈AFS such thatα((D\1, f1)) =α((D\2, f2)).Then for anys1 ∈D1∩S, s2 ∈D2∩S we havef1(s1) =f2(s2).We consider the element s= s1∨s2 ∈ (D1 ∩D2)∩S. We have f1(s) = s2S∨f1(s1) = 0∨f1(s1) = f1(s1) and f2(s) = s1S ∨f2(s2) = 0∨f2(s2), hence f1(s) = f2(s). Now let Ds = {s0 ∈ D1 ∩D2 : s ≤ s0}. Since s ∈ Ds we deduce that Ds 6= ∅.

If a ∈ A and s0 ∈ Ds then s ≤ s0 ≤ a∨s0 ⇒ a∨s0 ∈ Ds ⇒ Ds ∈ S(A).

Since s ∈ Ds∩D ⇒ Ds ∈ FS. If s0 ∈ Ds, then s∨s0 = s0 ⇒ f1(s0) = f1(s∨s0) =s0S∨f1(s) =0∨f1(s) =f1(s) and analogously,f2(s0) =f2(s)⇒ f1|Ds =f2|Ds ⇒ (D\1, f1) =(D\2, f2),that is, α is injective.

To prove the surjectivity of α, let a/S ∈ A[S] with a ∈ A. For s ∈ S we consider D= [s) (the principal deductive system generated by s).Clearly, D ∈ FS. We define fa :D → A[S] by putting fa(x) = (a∨x)/θS, for every x ∈ D; fa is an FS-multiplier. From (a∨s) ∨s = a∨s ⇒ (a∨s)/θS = a/θS ⇒ fa(s)/θS =a/θS ⇒ α((D, f\a)) =a/θS, that is, α is surjective, hence bijective.

REFERENCES

[1] R. Balbes and Ph. Dwinger,Distributive Lattices. University of Missouri Press, 1974.

[2] D. Bu¸sneag, Contributions to the study of Hilbert algebras. PhD Thesis, Univ. of Bucharest, 1985. (Romanian)

[3] D. Bu¸sneag,A note on deductive systems of a Hilbert algebra. Kobe J. Math.2(1985), 29–35.

[4] D. Bu¸sneag,Hilbert algebra of fractions and maximal Hilbert algebra of quotients.Kobe J. Math.5(1988), 161–172.

[5] D. Bu¸sneag, F-multipliers and the localization of Hilbert algebras. Zeitschr. f. math.

Logik und Grundlagen d. Math.36(1990), 331–338.

[6] D. Bu¸sneag,Categories of Algebraic Logic.Ed. Academiei Romˆane, Bucharest, 2006.

[7] W.H. Cornish,The multiplier extension of a distributive lattice. J. Algebra32(1974), 339–355.

[8] C. Dan, Hilbert algebras of Fractions. Int. J. Math. and Math. Sci., Vol. 2009, Article ID 589830 (16 pages).

[9] A. Diego,Sur les alg`ebres de Hilbert.In: Coll. Logique Math. Serie A, No. 21, pp. 1–54.

Gauthier-Villars, Paris, 1966.

[10] G. Georgescu,F-multipliers and the localization of distributive lattices.Alg. Universalis 21(1985), 181–197.

[11] R. Halaˇs,Remarks on commutative Hilbert algebras.Math. Bohemica127(2002), 525–

529.

[12] Y.B. Jun,Commutative Hilbert algebras. Soochow J. of Math.22(1996), 477–484.

[13] J. Lambek,Lectures on Rings and Modules. Blaisdell Pub. Co., 1966.

[14] N. Popescu, Abelian Categories with Applications to Rings and Modules. Academic Press, New York, 1973.

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[15] S. Rudeanu,Localizations and fractions in algebra of logic. (To appear in J. Mult.-Valued Logic & Soft Computing).

[16] J. Schmid,Multipliers on distributive lattices and rings of quotients. Houston J. Math.

3(1980), 401–425.

[17] J. Schmid, Distributive lattices and rings of quotients. Coll. Math. Societatis Janos Bolyai,33. Szeged, 1980.

[18] B. Strenstr¨om, Platnes and localization over monoids. Math. Nachrichten 48 (1971), 315–334.

Received 13 March 2009 University of Craiova

Faculty of Mathematics and Computer Science 13, Al.I. Cuza st.

200585, Craiova, Romania [email protected] [email protected]

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