FOR COMPLEX LOCALLY CONVEX LATTICES
DIMITRIE KRAVVARITIS and GAVRIIL P ˘ALTINEANU
In this paper we continue the study began in [3] of real locally convex lattices.
Thus, some Bishop type approximation theorems for complex locally convex lat- tices of (M)-type are given. We also show how various approximation theorems, known for weighted spaces, follows from this results.
AMS 2000 Subject Classification: Primary 41A65; Secondary 46A40.
Key words: complex lattice, complex locally convex lattice of (M)-type, antisym- metric ideal, antisymmetric set, weighted space.
1. INTRODUCTION
LetE be a complex locally convex lattice of (M)-type,Aa subset of the center of E, and F a (complex) vector subspace ofE.
First, we introduce the notion of antisymmetric ideal with respect to the pair (A, F). This notion is a generalization, for locally convex lattices, of the notion of antisymmetric set from the theory of function algebras.
Further, we study the main properties of the familyAF,A of all (A, F)- antisymmetric ideals and state some density theorems of the type
x∈F iffπI(x)∈πI(F), ∀I ∈ AF,A, I-minimal, where πI is the canonical mappingE →E/I.
An abstract version of the Stone-Weierstrass theorem for complex locally convex lattices is also given.
2. PRELIMINARIES
According to [9] a complex vector lattice is a pair (E, m), whereE is a complex vector space and m a modulus mapping, i.e. m : E → E with the properties:
i)m(m(x)) =m(x),∀x∈E;
ii) m(αx) =|α|m(x),∀α∈C,∀x∈E;
iii)m(m(m(x) +m(y))−m(x+y)) =m(x) +m(y)−m(x+y),∀x, y∈E;
REV. ROUMAINE MATH. PURES APPL.,53(2008),2–3, 167–179
iv)E= Sp(m(E)) (the (complex) subspace spanned bym(E)).
Now, we recall some results and definitions concerning complex vector lattices. The reader is referred to [4], [8] and [9].
Proposition2.1.If E is a complex lattice, then m(E) is a convex cone and ER =m(E)−m(E)is a real vector lattice with respect to the order relation
x6yiffy−x∈m(E).
Moreover, x>0 iff x=m(x) and for each x∈ER we have m(x) =|x|= (−x)∨x.
Proposition2.2. Every x∈E can be written in a unique way as a sum x=x1+ ix2, xi∈ER, i= 1,2.
We shall denote Rex=x1 and Imx=x2. So, for every x ∈E we have x= Rex+ i Imx, and x∗ = Rex−i Imx.
Definition 2.1. Let E be a complex vector lattice (c.v.l.). A complex vector sublattice ofE, is a complex vector subspaceF ofEwith the following property: x ∈F implies Rex∈F and m(x) ∈F. A subset S of E is said to be solid if m(y) 6m(x),∀x ∈S,∀y ∈E impliesy ∈S. An ideal I ofE is a complex vector subspace I of E which is a solid set.
Proposition2.3.Let Ebe a c.v.l.,I ⊂Ean ideal andπI:E →E/I the canonical mapping. The modulus on the quotient vector space E/I is defined by
mcI(πI(x)) =πI(m(x)), ∀x∈E.
The pair (E/I,mcI) is a complex vector lattice.
Definition 2.2. A complex vector lattice E is called archimedean ifER
is archimedean (i.e. x60 wheneverαx6y for somey∈E+ and allα >0).
Definition 2.3. Let E be a c.v.l., and let r ∈ E+. A sequence {xn} is called r-uniformly convergent to x if for every ε > 0 there exists a natural number nε such thatm(xn−x)6εrfor all n>nε.
A sequence {xn} is called r-uniformly fundamental if for every ε > 0, there exists a natural number nε such that m(xn+p−xn)6εr for all n>nε and all p∈N∗.
A complex vector lattice E is called relatively uniformly complete if for everyr ∈E+ and everyr-fundamental sequence {xn}there existsx∈E such that {xn} ber-uniformly convergent to x.
Proposition2.4. Every archimedean and relatively uniformly complete c.v.l., has the Riesz decomposition property (i.e. for each x∈E , y1, y2 ∈E+
satisfying m(x) 6 y1+y2, there exist x1, x2 ∈E such that x =x1+x2 and m(x1)6y1, m(x2)6y2).
See [4], Theorem 3.3.
Proposition2.5. Let E be a c.v.l. Then for every x∈E we have m(x) = sup{Reax; a∈C, |a|= 1}.
Definition 2.4. LetE1 and E2 be two c.v.l. A (complex) linear operator T : E1 → E2 is called order bounded, if T maps order bounded sets into order bounded sets (i.e. for each x∈(E1)+ there existsu ∈(E2)+ such that m1(y)6x impliesm2[T(y)]6u).
Proposition 2.6. Let E be an archimedean, relatively uniformly com- plete c.v.l. and let F be an order complete c.v.l. Then every order bounded complex linear operator T :E → F has a linear modulus |T| that is defined for each x∈E+ by
|T|x= sup{m2(T(y)); m1(y)6x}= sup{Re(λT)(x); λ∈C, |λ|= 1}
(|T|is additive on E+ and can be extended as a positive linear operator from E to F).
Definition 2.5. A complex locally convex lattice of (M)-type (or of (AM)- type) is an archimedian relatively uniformy complete c.v.l. endowed with a linear topology such that there exists a neighborhood basis of the origin con- sisting of sublattices which are solid and convex.
3. ANTISYMMETRIC IDEALS
In the sequel, E denotes a complex, locally convex lattice of (M)-type.
The center Z(E) of E is the algebra of all order bounded endomorphisms on E, that is, those U ∈ L(E, E) for which there exists λU > 0 such that m(U(x))6λUm(x) for allx∈E. The real part of the center is
ReZ(E) =Z(E)+−Z(E)+.
Definition 3.1. For every closed ideal I of E and every U ∈ Z(E), we define UI :E/I →E/I by
(3.1) UI(πI(x)) =πI(U(x)), x∈E.
It is easily seen that the operator UI is well defined and that UI ∈ Z(E/I).
Definition 3.2. Let I and J be two closed ideals of E such that I ⊂J. Define the mappings
πIJ :E/I →E/J, πIJ[πI(x)] =πJ(x), x∈E,
and
MIJ :Z(E/I)→Z(E/J), MIJ(T)(πJ(x) =πIJ(T(πI(x))), T ∈Z(E/I).
Lemma3.1. The mappings πIJ and MIJ have the properties below:
1)πIJ is a lattice homomorphism;
2)MIJ(T)∈Z(E/J) for every T ∈Z(E/I);
3)MIJ(T)∈Z(E/J)+ for every T ∈Z(E/I)+. Proof. 1) For every x∈E we have
mbJ(πIJ(πI(x))) =mbJ(πJ(x)) =πJ(m(x)) =πIJ(πI(m(x))) =πIJ(mbI(πI(x))), hence
(3.2) mbJ(πIJ(πI(x))) =πIJ(mbI(πI(x))).
2) For everyT ∈Z(E/I) we have
mbJ(MIJ(T))(πJ(x)) =mbJ(πIJ(T(πI(x)))) =πIJ(mbI(T(πI(x))) 6πIJ(λTmbI(πI(x))) =λTπIJ(mbI(πI(x)))
=λTπIJ(πI(m(x))) =λTπJ(m(x)) =λTmbJ(πJ(x)), hence MIJ(T)∈Z(E/J).
3) If πJ(x)>0 then πJ(x) = mcJ[πJ(x)] =πJ[m(x)]. Further, for every T ∈Z(E/I)+ we have
mbJ[MIJ(T)(πJ(x))] =mbJ[MIJ(T)(πJ(m(x)))] =mbJ[πIJ(T(πI(m(x))))]
=πIJ[mbI(T(πI(m(x))))] =πIJ[T(πI(m(x)))]
=MIJ(T)(πJ(m(x))) =MIJ(T)(πJ(x)), hence MIJ(T)>0.
Definition 3.3. Let A be a subset of Z(E) containing 0, and let F be a complex vector subspace ofE. A closed idealIofEis said to be antisymmetric with respect to the pair (A, F) (or (A, F)-antisymmetric) if for every U ∈A with the properties
i)UI ∈ReZ(E/I);
ii) UI[πI(F)]⊂πI(F),
there exists α∈Csuch thatUI =α1E/I, where1E/I is the identity operator on E/I. Of course, E itself is antisymmetric with respect to any pair (A, F).
Further, we denote by AA,F(E) the family of all (A, F)-antisymmetric ideals of E.
Now, we consider the particular caseE=C(X,C), whereXis a compact Hausdorff space. Then the center of C(X,C) is C(X,C) itself, namely, if U :C(X,C) → C(X,C) belongs to the center of C(X,C), then there exists
a function aU ∈ C(X,C) such that U(f)(x) = aU(x)f(x), ∀f ∈ C(X,C),
∀x∈X.
The mapping U → aU : Z[C(X,C)] → C(X,C) is an isomorphism of Banach algebras, hence Z[C(X,C)]∼=C(X,C).
On the other hand, it is known that for every closed subset S of X, the set IS={f ∈C(X,C); f|S = 0} is a closed ideal ofC(X,C), and every closed ideal ofC(X,C) has this form.
Definition 3.4. LetAbe a subset ofC(X,C) containing 0, and letF be a complex vector subspace of C(X,C). A closed subset S of X is said to be (A, F)-antisymmetric, if everya∈A, such that
i)a(x)∈R,∀x∈S;
ii) af|S ∈F|S,∀f ∈F, is constant on S.
Remark 3.1. A closed subsetSofXis (A, F)-antisymmetric if and only if the corresponding idealIS={f ∈C(X,C); f|S= 0}is (A, F)-antisymmetric in the sense of Definition 3.3. Indeed, it is sufficient to observe that πIS(g) = g|S , for everyg∈C(X,C).
Remark 3.2. IfF =Ais a subalgebra ofC(X,C), then a closed subsetS ofX is antisymmetric with respect toAif everya∈Athat is real valued onS is constant on S. Thus, we retrieve the original concept of antisymmetric set with respect to a subalgebra of C(X,C) introduced by E. Bishop. (See [1].)
Remark 3.3. In the context of weighted spaces, the concept of antisym- metric set was introduced by J.B. Prolla in 1971.
Remark 3.4. If E is a real locally convex lattice of (M)-type, then Defi- nition 3.3 coincides with Definition 3.1 of [3].
Theorem3.1. Let E be a complex locally convex lattice of (M)-type, A a subset of the center Z(E) containing 0, and F a complex vector subspace of E. If (Iα) is a family of (A, F)-antisymmetric ideals of E such that J =P
α
Iα6=E, then I =T
α
Iα is an (A, F)-antisymmetric ideal.
Proof. Let U ∈A such that i) UI ∈ReZ(E/I);
ii) UI[πI(F)]⊂πI(F).
According to Lemma 3.1, MIIα(UI)∈ReZ(E/Iα). Further, we have MIIα(UI)(πIα(F)) =πIIα[UI(πI(F))]⊂πIIα[πI(F)] =πIα(F).
Since Iα is (A, F)-antisymmetric, we deduce that there isaα ∈Csuch that (3.3) MIIα(UI) =aα ·1E/Iα.
On the other hand, we have
MIIα(UI)(πIα(x)) =πIIα[UI(πI(x))] =πIIα[πI(U(x))]
=πIα[U(x)] =UIα[πIα(x)], ∀x∈E, hence
(3.4) MIIα(UI) =UIα.
It follows from (3.3) and (3.4) that
(3.5) UIα =aα ·1E/Iα.
Now, it follows from the commutative diagram ReZ(E/I) M−→IIα ReZ(E/Iα)
MIJ& .MIαJ ReZ(E/J)
that
(3.6) MIJ(UI) =MIαJ(MIIα(UI)) =MIαJ(UIα) =aαMIαJ(1E/Iα).
Next, we have
(3.7) MIαJ(1E/Iα)(πJ(x)) =πIαJ(1E/Iα)(πIα(x)) =
=πIαJ(πIα(x)) =πJ(x) =1E/J(πJ(x)).
From (3.6) and (3.7) we deduce that
(3.8) MIJ(UI) =aα·1E/J, ∀α.
Since 1E/J is not constant on E/J (from the hypothesis E 6= J, hence E/J 6={0}), we have aα =a (constant). Therefore, from (3.4) and (3.5) we deduce that
(3.9) UIα =a·1E/Iα =MIIα(UI).
Now, from (3.9) and from the fact that MIIα(1E/I) = 1E/Iα, we de- duce that
(3.10) MIIα(UI−a·1E/I) = 0, ∀α.
SinceMIIα(UI−a·1E/I)(πIα(x)) =πIα(U(x)−ax), ∀x∈I, ∀α we have U(x)−ax∈Iα, ∀α, hence
(3.11) U(x)−ax∈I, ∀x∈E.
From (3.11) we deduce that UI =a·1E/I, thus I is an (A, F)-antisymmetric ideal.
Corollary 3.1. Every (A, F)-antisymmetric ideal contains a unique minimal (A, F)-antisymmetric ideal.
Proof. Let I ∈ AA,F(E) be such that I 6= E and let Ie= T
{J|J ∈ AA,F(E), J ⊂I}.According to Theorem 3.1, Ie∈ AA,F(E). Obviously,Ie⊂I and Ieis minimal.
4. A GENERALIZATION OF DE BRANGE’S LEMMA We start with two remarks.
Remark 4.1. Let E be a complex vector lattice and let U :E → E be a positive linear operator. Then m(U(x)) 6 U(m(x)), ∀x ∈ E. Indeed, if x∈ER thenU(x)∈ER and
m(U(x)) =U(x)∨ −U(x)6U(m(x)).
For an arbitrary x∈E we have m(U(x)) = sup
a∈C
|a|=1
ReaU(x) = sup
θ∈[0,2π]
(cosθReU(x)−sinθImU(x))
= sup
θ∈[0,2π]
(cosθU(Rex)−sinθU(Imx)) = sup
a∈C
|a|=1
U(Re(ax)),
hence m(U(x))6U(m(x)).
Remark 4.2. If g : E → C is an order bounded linear functional and U :E →E is a positive linear operator, then|g(U(x))|6|g|(U(m(x))).This is a consequence of Remark 4.1 and of the formula
|g|(U(m(x))) = sup{|g(z)|; m(z)6U(m(x))}.
Lemma 4.1. Let E be a complex locally convex lattice of (M)-type, A a subset of Z(E) containing 0, F a vector subspace of E and V a con- vex and solid neighborhood of the origin of E, which also is a sublattice. If f ∈ Ext
V0∩F0 and I = {x∈E; |f|(m(x)) = 0}, then I is an (A, F)- antisymmetric ideal.
Proof. Let U ∈Asuch that i)UI ∈ReZ(E/I);
ii) UI[πI(F)]⊂πI(F).
According to Definition 3.3, we must prove that there exists a∈Csuch that UI=a·1E/I.AsUI ∈ReZ(E/I), we can suppose that
(4.1) 06UI 61E/I.
Indeed, let S, T ∈ Z(E/I)+ such that UI =S−T. SinceS ∈ Z(E/I)+, one can find λS>0 with the propertym[S(πb I(x))]6λSm(πb I(x)), ∀x∈E,hence (4.2) S(πI(x))6λSπI(x), ∀πI(x)>0.
If we replace S by λ1
SS, we get 0 6 S 6 1E/I. On the other hand, it is clear that S[πI(F)] ⊂ πI(F). Now, if we prove that S = α·1E/I and T = β ·1E/I, then it will follow that UI = a·1E/I, a ∈ C; so that our supposition (4.1) is completely justified. Further, let UI ∈ ReZ(E/I)+ with the properties 0 6UI 61E/I andUI[πI(F)]⊂πI(F). Asf ∈I0, there exists g∈(E/I)0 such thatf =πI0g. Obviously,g∈Ext
πI(V)0∩πI(F)0 . Denote g1 =UI0g, g2= (1E/I−UI)0g and
ai= inf
λ >0|gi∈λ[πI(V)]0 = sup{|gi(πI(x))|; x∈V}, i= 1,2.
Since g=g1+g2 ∈(a1+a2)πI(V)0,we get
(4.3) a1+a2 >1.
On the other hand, for everyx1, x2∈V we have
|g1(πI(x1))|+|g2(πI(x2))|=|g(UI(πI(x1)))|+
g(1E/I−UI)(πI(x2)) . If we denote y =mcI(πI(x1))∨mcI(πI(x2)), and take into account that πI(V) is a solid set and a sublattice, we get y ∈πI(V).
Now, according to Remark 4.2 we have
|g1(πI(x1))|+|g2(πI(x2))|6|g|(UI(y)) +|g|(1E/I−UI)(y)
=|g|(UI(y) +y−UI(y)) =|g|(y)61.
Therefore,|g1(πI(x1))|+|g2(πI(x2))|61, for anyx1, x2∈V, hencea1+a261.
From (4.3) we deduce that
(4.4) a1+a2 = 1.
Let us note that
(4.5)
UI0g
=UI0(|g|).
Indeed, as 0 6 UI0 6 1(E/I)0, we have UI0(g+) = (UI0g)+ and UI0(g−) = (UI0g)− thus,
UI0g
=UI0(g+) +UI0(g−) =UI0(|g|).
Further, from (4.5) and Remark (4.1) we have (4.6) |f|(m(U(x)))6|f|(U(m(x))) =
πI0g
(U(m(x)))
=πI0 |g|(U(m(x))) =|g|(UI(πI(m(x)))) = UI0g
(πI(m(x))).
If we now suppose that g1= 0, then it follows from (4.6) that|f|(m(U(x))) = 0, ∀x ∈ E, hence UI[πI(x)] = πI[U(x)] = 0, ∀x ∈ E. Thus, g1 = 0 implies
UI = 0 = 0·1E/I and the proof is complete. Using a similar argument, we deduce thatg2 = 0 implies 1E/I−UI = 0, hence UI =1E/I.
Therefore, from now on we can suppose that gi 6= 0 for i = 1,2; thus ai > 0 for i = 1,2. On the other hand, it follows from the assumption UI[πI(F)] ⊂ πI(F), that gi ∈πI(F)0, i= 1,2, hence gai
i ∈ πI(F)0∩πI(V)0, for i = 1,2. Since g is an extremal element of the set πI(F)0∩πI(V)0, and g = a1ag1
1 +a2ga2
2, either g = ag1
1 or g = ag2
2. On the other hand, the equality g1 = a1g implies (a1 ·1E/I−UI)0g = 0, hence UI = a1 ·1E/I. By a similar argument, g2 =a2g involvesUI =a2·1E/I and this concludes the proof.
5. AN APPROXIMATION THEOREM The main result of the paper is as follows.
Theorem5.1. Let E be a complex locally convex lattice of (M)-type, A a subset of Z(E) containing 0, and F a vector subspace of E. If we denote by AeF,A the family of all minimal (A, F)-antisymmetric ideals of E, then for every x∈E we have
x∈F ⇐⇒ πI(x)∈πI(F), ∀I ∈AeF,A.
Proof. The necessity is clear. Conversely, if we suppose that πI(x) ∈ πI(F), ∀I ∈ AeF,A and x /∈ F, then we can find f ∈ E0 such that f(x) 6= 0 and f(y) = 0, ∀y ∈F. Let V be a solid, convex neighborhood of the origin of E which is a sublatice of E . Obviously we can suppose thatf ∈V0.Since f ∈ F0, we deduce that f ∈ F0 ∩V0 and by the Krein-Milman theorem we may assume that f ∈Ext
F0∩V0 .If we putJ ={z∈E; |f|(m(z)) = 0}
then, according to Lemma 4.1, that J is an (A, F)-antisymmetric ideal. On the other hand, by Corollary 3.1, there exists a minimal (A, F)-antisymmetric ideal J0 ⊂J. Since f ∈J00∩F0 and by the hypothesis πJ0(x) ∈πJ0(F), we have f(x) = 0, and this contradicts the choice off.
Remark 5.1. LetE, AandF be as in Definition 3.3, with the additional hypothesis AF ⊂F. Then a closed ideal I ofE is antisymmetric with respect to (A, F) (or A-antisymmetric) if for every U ∈A for whichUI ∈ReZ(E/I) there exists α∈Csuch thatUI=α·1E/I.
Let us denote byAeA the family of all minimalA-antisymmetric ideal of E. From Theorem 5.1 we deduce
Theorem5.2. Let E, Aand F as in Theorem5.1, with the additional hypothesis AF ⊂F. Then for any x∈E we have
x∈F iff πI(x)∈πI(F), ∀I ∈AeA.
Remark 5.2. Theorem 5.2 is a generalization of Prolla’s approximation theorem for weighted spaces (see Theorem 6.2 below).
Remark 5.3. IfEis a real locally convex lattice of (M)-type, Theorem 5.1 coincides with Theorem 3.1 of [3].
Remark 5.4. We recall that ifJ is a maximal ideal of a real vector lattice E, then E/J has dimension 1. (See [7], pp. 66.)
On the other hand, if I is an ideal in a complex vector lattice E and J =I∩ER, thenJ is an ideal in the real latticeERandI =J+ iJ. Moreover, ifI is maximal in E,thenJ is maximal in ER, hence E/I has dimension 2.
The next result is an abstract version of the Stone-Weierstrass theorem for locally convex lattices.
Theorem5.3. Let E, Aand F as in Theorem5.1, with the additional properties:
i)Ais a (complex) selfadjoint vector subspace of Z(E) (i.e. U = ReU+ i ImU ∈A implies U∗ = ReU −i ImU ∈A).
ii) AF ⊂F;
iii) F is not included in any maximal ideal of E;
iv) every closed ideal I of E such that {UI|U ∈A} ⊂ C·1E/I is a maximal ideal.
Then F =E.
Proof. Let x ∈ E and I ∈ AeF,A. Hypothesis i) implies that ReU ∈ A and ImU ∈A for every U ∈A. It follows from ii) that ReUI =a·1E/I and ImUI =b·1E/I, for somea∈R and b∈R, henceUI= (a+ ib)·1E/I.
According to hypothesis iv),I is a maximal ideal, thus,E/I has dimen- sion 2.
As{0} ⊂πI(F)⊂πI(E) =E/I,we have eitherπI(F) ={0}orπI(F) = πI(E). It follows from (iii) thatπI(F)6={0}. Therefore,πI(F) =πI(E), thus πI(x)∈πI(F) for everyI ∈AeF,A. According to Theorem 5.1, we have x∈F.
6. SOME APPROXIMATION THEOREMS FOR WEIGHTED SPACES
The aim of this section is to give some applications of Theorem 5.1.
LetX be a locally compact Hausdorff space andV a Nachbin family on X, i.e., a set of nonnegative upper semicontinuous functions on X such that for every v1, v2∈V and every λ >0 there isv∈V such thatv1, v26λv. We shall denote the corresponding weighted space by
CV0(X,C) ={f ∈C(X,C); f v vanishes at infinity, ∀v∈V}.
The weighted topology on CV0(X,C) is denoted by ωV and is determined by the seminorms {pv}v∈V, where
pv(f) = sup{|f(x)|v(x); x∈X} for any f ∈CV0(X,C).
Obviously, CV0(X,C) is a complex locally convex lattice of (M)-type with respect to the weighted topology and to the modulus mapping m(f) = |f|,
∀f ∈CV0(X,C).
Remark 6.1. For every closed idealI of CV0(X,C) there exists a closed subset SI of X such that
I ={f ∈CV0(X,C); f|SI = 0}.
Indeed, if we putJ =I∩CV0(X,R), thenJ is a closed ideal ofCV0(X,R) and according to a result of Portenier (see [2], Lemma 3.8), there is a closed subset SI of X such that I = {f ∈CV0(X,R); f|SI = 0}. On the other hand, we have I =J + iJ, hence I ={f ∈CV0(X,C); f|SI = 0}.
Remark 6.2. The center of CV0(X,C) is Cb(X,C) – the Banach space of all bounded continuous complex valued function on X. Indeed, it follows from Proposition 2 of [6] that if U belongs to the center of CV0(X,C). Then there exists a bounded continuous function aU :X→Csuch that
U(f)(x) =aU(x)f(x), ∀f ∈CV0(X,C), ∀x∈X.
The mapping U → aU : Z(CV0(X,C)) → Cb(X,C) is an isomorphism of Banach algebras.
Definition 6.1. Let A be a subset of Cb(X,C) containing 0, and let F be a vector subspace of CV0(X,C). A closed subset S of X is said to be (A, F)-antisymmetric if everya∈A, real valued onS, such thataf|S ∈F|S,
∀f ∈F, is constant onS.
Clearly, a closed subsetSofX is (A, F)-antisymmetric if and only if the corresponding ideal IS ={f ∈CV0(X,C); f|S = 0} is (A, F)-antisymmetric in the sense of Definition 3.3.
We shall denote by SF,A the family of all (A, F)-antisymmetric subsets of X. Theorem 3.1 has the following dual version.
Theorem6.1. Let A and F be as in Definition 6.1. If Sα ∈ SF,A, ∀α and T
α
Sα 6=∅, then S
α
Sα ∈ SF,A.
Corollary6.1. For every x ∈X there exists a maximal closed subset Sx of X, antisymmetric with respect to the pair (A, F), such that x ∈ Sx. Moreover, if x6=y then Sx and Sy are either equal or disjoint.
See Theorem 3 of [5].
From Theorem 5.1 we deduce
Theorem6.2. Let A be a subset of Cb(X,C) containing 0and let F be a vector subspace of CV0(X,C). Then, for every f ∈CV0(X,C), we have
f ∈F if and only if f|Sx ∈F|Sx, ∀x∈X,
where (Sx)x∈X is the family of all maximal (A, F)-antisymmetric subsets of X.
Remark 6.3. Theorem 6.2 coincides with Corollary 1 of [5].
Remark6.4. IfAF ⊂F, then a closed subsetSofXis (A, F)-antisymmetric if any a∈A, real valued onS, is constant onS.
We shall denote bySeA the family of all maximal antisymmetric subsets of X.
From Theorem 6.1 we deduce
Theorem6.3 (Prolla). Let E, A and F be as in the Theorem 6.1, with the additional property AF ⊂F. Then, for every f ∈CV0(X,C), we have
f ∈F ifff|S ∈F|S , ∀S∈SeA.
Nachbin’s density theorem below follows from Theorem 5.3.
Theorem6.4. Let A be a self adjoint subalgebra of Cb(X,C) and let F be a vector subspace of CV0(X,C). Assume that
i)AF ⊂F;
ii) Aseparates the points of X;
iii) for every x∈X there is f ∈F such that f(x)6= 0.
Then F =CV0(X).
Proof. It follows from (iii) thatF is not included in any maximal ideal.
Since AF ⊂ F and A separates the points of X, every (A, F)-antisymmetric subsetSofXis a singleton, thus the corresponding idealIS is a maximal ideal.
So, the hypotheses of Theorem 5.3 are fulfilled. Consequently, F = CV0(X).
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(Romanian)
Received 17 July 2007 National Technical University of Athens Department of Mathematics TK 157-80, Zografou Campus
Athens, Greece [email protected]
and Technical University of Civil Engineering Bucharest
Department of Mathematics Bl. Lacul Tei 124, Sector 2 020396, Bucharest 38, Romania