This paper presents a unified version of the Machado-Bishop theorem within weighted spaces and demonstrates its significance through various applications.
Contribution
It introduces a generalized form of the Machado-Bishop theorem applicable to weighted spaces, expanding its theoretical scope.
Findings
01
Unified theorem applicable to weighted spaces
02
Multiple applications illustrating the theorem's importance
03
Enhanced understanding of weighted space properties
Abstract
A unified version of Machado-Bishop theorem in weighted spaces is given. A number of applications illustrate its importance.
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The Stone–Weierstrass theorem is one of the celebrated results in modern abstract analysis. A number of extensions were made by many authors. Among them, E. Bishop [Bis61] gave an important observation that in order to verify g∈A where A is a closed unital subalgebra of C(Ω) and Ω is compact, one only considers g∣E∈A∣E for some simple subsets E⊂Ω named the maximal A-antisymmetric sets; the original condition in the Stone–Weierstrass theorem in fact implies such E are single points. Later, S. Machado [Mac77] formulated a quantitative version (i.e. a strong version) of this theorem even in the vector-valued case. Other versions of this theorem were investigated by e.g. I. Glicksberg [Gli63] (Bishop theorem for the strict topology), R. I. Jewett [Jew63], J. B. Prolla [Pro88, Pro94], and
G. Paltineanu and I. Bucur [PB17] (for C(Ω,[0,1]) and C(Ω,R+)), and J. B. Prolla and S. Machado [PM82] and M. S. Kashimoto [Kas14] (for set-valued mappings), etc.
In his seminal article [Nac65], L. Nachbin introduced the weighted space to deal with the uniform approximation over a non-compact space. The author in that paper gave a description of the closure of some modules in weighted spaces based on the Stone–Weierstrass theorem, i.e., the so called weighted approximation problem; a more precise statement is to give some sufficient conditions for “localization” (see e.g. Section 3.2).
Generalizations of the Stone–Weierstrass theorem in weighted spaces in some sense have its advantage. For instance, by choosing different weighted families (i.e. Nachbin families), the topologies in weighted spaces include the point-open topology, the compact-open topology, the strict topology and the uniform topology (see Section 2); the weighted approximation problem in the so-called bounded case is related with the Stone–Weierstrass theorem which again turns out to be an important link with the Bernstein problem in the vector-valued case (see e.g. Section 3.3); for more motivations, see [Nac65]. J. B. Prolla [Pro71] and W. H. Summers [Sum71] gave a Bishop’s version of the Stone–Weierstrass theorem in weighted spaces for locally compact spaces and for completely regular spaces, respectively; see also [PM73] for the associated results. We refer the readers to see the more generalized results and important applications on this subject in the monograph [Pro77].
Meanwhile, lots of elementary proofs of the Stone–Weierstrass type of theorems were found; the above references we listed certainly not only gave generalized results but also provided simplified proofs. Here, the works of B. Brosowski and F. Deutsch (see [BD81]) and T. J. Ransford (see [Ran84]) need to be mentioned; their ingenious argument with minor changes in fact implies a more general version of Machado theorem which we give in this paper (see Theorem 2.1).
The present paper is to provide such a Machado theorem in the weighted spaces which recovers many known results we mentioned before; the statement is given in Section 2. Some new aspects of this theorem are listed in Section 2. A number of applications in a more general setting based on this theorem are given in Section 3 to illustrate the importance of this theorem.
(a)
A distance formula (see Theorem 3.1) due to Burlando [Bur05] is obtained.
2. (b)
A version of the Stone–Weierstrass theorem (see Theorem 3.2) due to Timofte [Tim05, Theorem 7] is given; as corollaries, a general localization theorem (see Section 3.2) due to Nachbin [Nac65, Theorem 2], Prolla [Pro71] and Summers [Sum71], and particularly a localization theorem for C(Ω,[0,1]) (see Section 3.2) due to von Neumann (see also [Jew63]) are obtained. Also, a more classical form of the Stone–Weierstrass theorem (see Theorem 3.3) is given for ease of application (see Section 3.4).
3. (c)
Some special forms of polynomial algebras are discussed in Section 3.3; in particular, a version of the Bernstein problem in the vector-valued case (see Section 3.3) is obtained.
4. (d)
In Section 3.4, we also give a brief discussion about the approximation problem with interpolation; a special case was studied in [Pro94, Section 4] and [PK02]. Here we talk about a situation with more constraints in the sense of [Tim05] (i.e. a good control on approximation’s range); see Theorem 3.6 and Section 3.4 which generalize [Tim05, Theorem 16]. Finally, we pay attention on a concrete problem, i.e., to determine the closure of an operator’s domain, which often occurs in the operator semigroup theory.
2. A generalized Machado–Bishop theorem
Throughout this paper, the Hausdorff property of a topological space is not assumed unless where mentioned. We use the following notations:
Ω: a topological space (which might be not Hausdorff);
X: a locally convex topological vector space with a family of seminorms denoted by A;
C(Ω,X): the topological space consisting of all continuous functions of Ω→X;
C0(Ω,X): the topological space consisting of all f∈C(Ω,X) such that for all p∈A and ϵ>0, {x∈Ω:p(f(x))≥ϵ} is a compact subset of Ω;
suppf: the support of the map f:Ω→X defined by suppf=f−1(X∖{0});
f∣S: the restriction of the map f:Ω→X to S (⊂Ω);
V: a Nachbin family, i.e., a set of upper semicontinuous functions of Ω→R+, whose elements are called weights; see e.g. [Nac65, Pro71, PM73, Pro77].
Let W be a subset of C(Ω,X). CV0W denotes the weighted space of W (with respect to the Nachbin family V), that is, f∈CV0W if and only if f∈W and for all v∈V, p∈A, and ϵ>0, {x∈Ω:v(x)p(f(x))≥ϵ} is a compact subset of Ω. For f∈CV0W, F⊂Ω, define
[TABLE]
and for B⊂CV0W,
[TABLE]
For brevity, if V,A are the single point sets, then we write dF(f,B) (or dv,F(f,B),dp,F(f,B)) instead of dv,p,F(f,B); if W=C(Ω,X), then we write CV0(Ω,X) instead of CV0C(Ω,X).
Consider the following two additional conditions about V:
(a)
for all v1,v2∈V, there are λ≥0 and w∈V such that v1≤λw, v2≤λw (point-wise);
2. (b)
for each x∈Ω, there is v∈V such that v(x)>0.
If CV0W is a linear subspace of C(Ω,X), then the topological vector space CV0W is locally convex if condition (a) is satisfied and Hausdorff if condition (b) holds, where a local base at [math] can be given by {f∈CV0W:∣f∣v,p<ϵ}, v∈V, p∈A, and ϵ>0.
Some examples of weighted spaces are the following. Let χK be the characteristic function of K, i.e., χK(x)=1 if x∈K, and χK(x)=0 otherwise.
Example \theexample.
(a)
Set V={χK:K is a finite set of Ω}, then CV0(Ω,X)=C(Ω,X), and the topology in this case is the point-open topology of C(Ω,X).
2. (b)
Set V={χK:K is a compact set of Ω}, then CV0(Ω,X)=C(Ω,X), and the topology in this case is the compact-open topology of C(Ω,X).
3. (c)
Set V={1}, then CV0(Ω,X)=C0(Ω,X). In this case, the topology is the uniform topology, i.e., fα→0 if and only if for all p∈A, p(fα(x))→0 uniformly for x∈Ω.
4. (d)
V=C0(Ω,R+) and W=Cb(Ω,X) (i.e. all the bounded continuous functions of Ω→X), then CV0W=Cb(Ω,X) and its topology is the strict topology; see e.g. [Buc58, Gli63, Sum71].
A modified conception of multiplier is given in the following which is sufficient for us (see also [FdLP84, PK02]).
Definition \thedefinition(multiplier).
For W⊂C(Ω,X) and φ∈C(Ω,C), we say φ is a multiplier of W if φf+(1−φ)g∈W for all f,g∈W. A subset A⊂C(Ω,C) is called a multiplier of W if for every φ∈A, φ is a multiplier of W.
For example, if W±W⊂W and AW⊂W, then A is a multiplier of W (which is frequently used in this paper). Indeed, for φ∈A and g,h∈W, we have φg∈W and (1−φ)h=h−φh∈W and hence φg+(1−φ)h∈W. An elementary fact about multiplier is the following.
Lemma \thelemma.
If φ is a multiplier of W, so are φn, 1−φn, and particularly (1−φn)m where n,m∈N+.
Proof.
This is easy. For example, take n=2. For all f,g∈W, since φf+(1−φ)g∈W, we have
[TABLE]
The proof is complete.
∎
The following condition was used in [Nac65, Pro71, Sum71].
Definition \thedefinition(bounded condition).
We say a subset A of C(Ω,C) satisfies the bounded condition (with respect to V), if every φ∈A is bounded on the support of every v∈V.
For example, if A⊂Cb(Ω,C) or all the weights v∈V have compact supports, then A satisfies the bounded condition with respect to V.
The following definition of antisymmetric set seems new.
Definition \thedefinition(antisymmetric set).
(a)
For A⊂C(Ω,C), a subset S⊂Ω is called an A-antisymmetric set if f∈A such that f:S→[0,1], then f∣S is a constant.
2. (b)
More generally, for v∈V, a subset S⊂suppv is called an (A,v)-antisymmetric set if f∈A such that f:S→[0,1], then f∣S is a constant.
Remark \theremark.
(a)
If A is a subalgebra of Cb(Ω,C), then the definition of A-antisymmetric set is the same as the classical one, i.e., S⊂Ω is an A-antisymmetric set if f∈A and f∣S is real then f∣S is constant (see e.g. [Bis61]). We show this as follows.
∙
If S is an A-antisymmetric set in the sense of Section 2 (a) and if f∈A such that f∣S is real, then we can assume ∣f∣<n, and thus n2f2:S→[0,1], which yields f2 is a constant on S (as n2f2∈A). We show f is constant on S. If f2∣S=0, then it is true. So, without loss of generality, suppose f2∣S=1. Then 2f+f2∈A (as A is a subalgebra) and 2f+f2:S→[0,1], yielding 2f+1∣S=2f+f2∣S is a constant and consequently so is f∣S.
Note that in the classical definition of antisymmetric set, one usually considers C(Ω,C) if Ω is compact or C0(Ω,C) if Ω is locally compact (see e.g. [Bis61, Gli63, Mac77]).
2. (b)
Introducing the notion of (A,v)-antisymmetric set is to recover the results obtained in [Nac65, Pro71, Sum71]. Assume A satisfies the bounded condition with respect to V, which was used in those papers cited before. Now let A be a subalgebra of C(Ω,C). The definition of A-antisymmetric set S given in [Pro71] is that if f∈A such that f∣S is real then f∣S is a constant. As the results given in [Pro71] were all under the assumption that A satisfies above bounded condition, if S is an (A,v)-antisymmetric set in the sense of Section 2, then for f∈A such that f∣S is real, the same argument given in (a) shows that f∣S is a constant due to the boundedness of f∣suppv and S⊂suppv.
3. (c)
Since in many cases, A⊂Cb(Ω,C) (or even A⊂C(Ω,[0,1])) or all the weights v∈V have compact supports, the definition of strong A-antisymmetric setS like that AS={f∣S:f∈A} contains no nonconstant real functions is sufficient.
Under the above discussion, we have
[TABLE]
and if A is a subalgebra of Cb(Ω,C) or A⊂C(Ω,[0,1]), then
[TABLE]
and if A is a subalgebra of C(Ω,C) satisfying the bounded condition with respect to V, then for v∈V and S⊂suppv,
[TABLE]
For W⊂C(Ω,X), write
[TABLE]
{[x]:x∈Ω} defines an equivalence relation in Ω (with respect to W), denoted by ρW; the equivalence classes are [x]W, x∈Ω. For brevity, for S⊂Ω, the notation S⊂ρW means f(x)=f(y) for every x,y∈S and every f∈W. We also write ρW⊂ρW1 if S⊂ρW⇒S⊂ρW1 (see also [Tim05]). For S⊂Ω, t∈Ω, let
[TABLE]
We say WseparatesS if for every x,y∈S such that x=y there is f∈W such that f(x)=f(y).
Example \theexample.
Let A⊂C(Ω,C).
(a)
If A⊂C(Ω,[0,1]), then [x]A, x∈Ω are all the maximal A-antisymmetric sets. Note that if, in addition, A separates Ω, then [x]A={x}.
2. (b)
If for every t∈Ω, A(t)∩[0,1]=∅, then every subset of Ω is an A-antisymmetric set.
3. (c)
If A is a subalgebra of Cb(Ω,C) such that A is self-adjoint (i.e. if f∈A then f∈A), then [x]A, x∈Ω are all the maximal A-antisymmetric sets. (Note that f+f and if+if are real.)
4. (d)
If A is a subalgebra of Cb(Ω,C) such that A is self-adjoint and separates Ω∖S where S is a closed subset of Ω such that AS=0, then the all maximal A-antisymmetric sets are {x} (x∈Ω∖S) and S, or {x} (x∈Ω∖{S∪{x0}}) and S∪{x0} for some x0∈Ω∖S.
5. (e)
Let A denote all the polynomials in D={z∈C:∣z∣≤1}. Although A separates D (and so [x]A={x}), the maximal A-antisymmetric set is only D.
Under the above preliminaries, we are in a position to state our generalized Machado–Bishop theorem; the original version of the Machado theorem was in [Mac77] which can be considered as a strong version of the Stone–Weierstrass theorem.
Theorem 2.1** (Machado Theorem).**
Let A be a non-empty subset of C(Ω,C) and W a topological vector subspace of C(Ω,X). Take a subset W0 of CV0W. Assume A is a multiplier of W0. Then for every f∈CV0W, v∈V and p∈A, there is an (A,v)-antisymmetric set S such that
[TABLE]
Proof.
Here, the argument due to Brosowski–Deutsch [BD81] and Ransford [Ran84] can be applied. We give the details as follows. Let a=dv,p,Ω(f,W0). If a=0, then the proof is finished. So assume a>0. Set
[TABLE]
Obviously, F=∅ as suppv∈F. Given a natural partial order ⊃ in F, now (F,⊃) is a partially ordered set. We claim if E is a totally ordered subset of F, then F0=⋂{F:F∈E}∈F. Indeed, for any 0<ε<a/2, if g∈W0 and F∈E, then
[TABLE]
is closed (due to v,p,f,g are upper semicontinuous) and compact (due to f−g∈CV0W and a−ε>0); in addition, ΘF=∅ as dv,p,F(f,W0)=a. Therefore, F∈E⋂{ΘF} is non-empty and closed. That is for all g∈W0,
[TABLE]
and so dv,p,F0(f,W0)≥a−ε. As ε is arbitrarily small, one gets F0∈F. By the Hausdorff’s maximality theorem (see e.g. [Rud87]), F has a maximal element S∈F; evidently S is closed. In the following we show S is an (A,v)-antisymmetric set.
Otherwise, there is h∈A such that h:S→[0,1] but it is not a constant. Let
[TABLE]
Then b<c. Take integrals c1,c2,c3 such that 0≤b<1/c1<1/c2<1/c3<c≤1. Let
[TABLE]
Then Y,Z are closed and proper subsets of S. By the maximal property of S in F, there are gY,gZ∈W0 such that
[TABLE]
Take
[TABLE]
As h is a multiplier of W0, we have gn∈W0 by Section 2. Also note that ∣f−gn∣v,p,Y∩Z<a for gn is a convex combination gY,gZ and 0≤hn∣S≤1.
For t∈Y\Z, we have 0≤h(t)<1/c1, and
[TABLE]
and for t∈Z\Y, we have 1/c3<h(t)≤1, and
[TABLE]
(Here, the following simple inequalities are used: if ∣x∣≤1,p≥1, then (1−x)p≥1−px and (1+x)p≥px.) Hence, gn⇉gY in Y\Z, and gn⇉gZ in Z\Y. Now, we get
[TABLE]
for sufficiently large n. Consequently, dv,p,S(f,W0)<a, which is a contradiction as S∈F. The proof is complete.
∎
Let us give a simple corollary of Theorem 2.1 due to Bishop [Bis61] and Prolla [Pro71, Pro88].
Corollary \thecorollary.
Let W be a topological vector subspace of C(Ω,X) and W0⊂CV0W. Take f∈CV0W.
(a)
(See Bishop [Bis61] and Prolla [Pro71]) Suppose A is a subalgebra of C(Ω,C) and W0 is a closed linear subspace of CV0W and an A-module (i.e. AW0⊂W0). If for every v∈V and for every (A,v)-antisymmetric set S⊂suppv, there is g∈W0 such that f∣S=g∣S, then f∈W0.
2. (b)
(See Prolla [Pro88]) Let A⊂C(Ω,[0,1]) such that it is a multiplier of W0, then for every v∈V and p∈A, there is x∈Ω such that
[TABLE]
Proof.
(a) Note that if A is a subalgebra and W0 is an A-module, then A is a multiplier of W0.
(b) Note that [x]A, x∈Ω are all the maximal A-antisymmetric sets.
∎
Remark \theremark(What is new?).
(a)
To our knowledge, this version of the Machado theorem seems new in weighted spaces. We will use this theorem to reprove some results obtained in [Bur05, Tim05] with some generalizations.
2. (b)
This is a version that without assuming A is a subalgebra or W0 is a linear space; what we need is that A is a multiplier of W0 which was also noted in e.g. [Pro88, Pro94]. In some cases, we will take A=C(Ω,[0,1]) which is not a subalgebra; see e.g. Theorem 3.1 and Theorem 3.6. For another application of this situation about the characterization of convex cones in continuous spaces, see also [Pro88, Pro94].
3. (c)
Even in the case that A is a subalgebra, in general, A does not need to contain constants; in some cases, this is also important for applications (see e.g. Theorem 3.3 and Section 3.4). See also Section 3.2 in the same spirit. We learned this fact from [Rud91, p. 403]. As a matter of fact, in [Pro71], this was not assumed as well.
4. (d)
In general, we do not assume Ω or X is Hausdorff (as well as CV0W); this was also done in [Bur05, Tim05] where Ω is not assumed to be Hausdorff. But, in some concrete applications, we usually need one of Ω,X fulfills the Hausdorff property; see Section 3 for details.
5. (e)
Based on our definition of (A,v)-antisymmetric set, Theorem 2.1 recovers the complex case which cannot be done in [Pro88, Pro94, PK02, Tim05] (as they chose A⊂C(Ω,[0,1]); see also Section 2 (e)). Also, this theorem contains the bounded case in the weighted approximation problem studied in [Nac65, Pro71, Sum71]; see Section 2.
3. some applications
3.1. A distance formula
Let C0(Ω,X) be endowed with the uniform topology (see Section 2 (c)). Then we have the following which generalizes a partial result of Burlando [Bur05].
Theorem 3.1** (See Burlando [Bur05, Theorem 3.11]).**
Assume the following non-degenerate condition holds: for every t∈Ω, there is φ∈C0(Ω,[0,1]) such that φ(t)=0. If X is Hausdorff and X0 is a convex subset of X, then for all p∈A and f∈C0(Ω,X), we have
[TABLE]
where dp(f(t),X0)≜inf{p(f(t)−x):x∈X0}.
Proof.
Fix p∈A.
As X0 is convex, we see A=C(Ω,[0,1]) is a multiplier of C0(Ω,X0). Next we show if y∈[x]A, then f(x)=f(y). Since f∈C0(Ω,X), we have sup{p(f(x)):x∈Ω}<∞. For x∗∈X∗ (the dual space of X), assume ∣Rex∗f(t)∣≤d for some d>0 depending on x∗,p. Then for ϕ(t)=(2d)−1(Rex∗f(t)+d), one has ϕ∈C(Ω,[0,1]). Thus, Rex∗f(x)=Rex∗f(y). This shows that f(x)=f(y); note that X∗ separates X for X is locally convex and Hausdorff (see [Rud91]). By Section 2 (b), we have
[TABLE]
The proof is complete.
∎
Remark \theremark.
Let us discuss the non-degenerate condition: for every t∈Ω, there is φ∈C0(Ω,[0,1]) such that φ(t)=0. Let A=C(Ω,[0,1]).
(a)
If Ω is compact, then the non-degenerate condition is clearly true as in this case C0(Ω,[0,1])=C(Ω,[0,1]). In fact, this is the case discussed in [Bur05].
2. (b)
When Ω is Hausdorff, it is well known that the non-degenerate condition is equivalent to that Ω is locally compact.
3. (c)
If non-degenerate condition holds, then Ω must be locally compact and for every x0∈Ω, there is a compact neighborhood Ux0 of x0 such that ⋃x∈Ux0[x]A=Ux0, i.e., ⋃x∈Ux0[x]A=Ux0={x:φ(x)≥φ(x0)/2} where φ∈C0(Ω,[0,1]) such that φ(x0)=0; particularly [x]A is compact in Ω.
Let us show the converse is also true. The equivalence classes [x]A, x∈Ω define a quotient space Ω which is Hausdorff and locally compact and a quotient map τ:x→[x]A. The condition now means that τ is proper, i.e., for every compact subset M⊂Ω, τ−1(M) is compact. More precisely, let {xt} be a net in τ−1(M), then there is a subnet {τ(xtδ)} such that τ(xtδ)→[x^]A∈M. Since Ux^=τ−1τ(Ux^), and τ(Ux^) is a neighborhood of [x^]A, one gets xtδ∈Ux^ for δ≥δ0. Due to the compactness of Ux^, we obtain {xtδ} has a convergent subnet. For every t∈Ω, now we have φ∈C0(Ω,[0,1]) such that φ([t]A)=0. Set φ=φ∘τ, which is the desired function.
4. (d)
We mention that in [Bur05], the author also proved that when Ω is compact and Ω is totally disconnected, the equality (3.1) holds without assuming X0 is convex. The examples given in [Bur05] also yield that when Ω is compact, the condition that Ω is totally disconnected or X0 is convex in some sense is optimal.
3.2. Stone–Weierstrass type of results
Theorem 3.2** (See Timofte [Tim05, Theorem 7]).**
Let A be a non-empty subset of C(Ω,C) and W a topological vector subspace of C(Ω,X).
Take a subset W0 of CV0W. Assume A is a multiplier of W0 and S⊂ρW0 for every (A,v)-antisymmetric set S (v∈V). Let
[TABLE]
and
[TABLE]
Then W0=W0=W in CV0W.
Proof.
Clearly, W0⊂W⊂W0. Let f∈W0. For every v∈V and p∈A, by Theorem 2.1, there is an (A,v)-antisymmetric set S such that dv,p,S(f,W0)=dv,p,Ω(f,W0). Take t0∈S. As S⊂ρW0 and S⊂ρ{f}, we have g(t)=g(t0) and f(t)=f(t0) for any t∈S and g∈W0. We can assume v∣S is bounded; indeed, if for any g∈W0, p(f(t0)−g(t0))=0, then dv,p,S(f,W0)=0 and the result follows, else there is g0∈W0 such that p(f(t0)−g0(t0))=0, then due to supt∈Ω∣v(t)p(f(t)−g0(t))∣<C1 for some C1, we have supt∈S∣v(t)∣≤C1∣p(f(t0)−g0(t0))∣−1<∞.
For any ε>0, choose tg′∈S such that v(tg′)p(f(tg′)−g(tg′))≥supt∈Sv(t)p(f(t)−g(t))−ε. Now by f(t0)∈W0(t0), we have
[TABLE]
i.e., infg∈W0supt∈Sv(t)p(f(t)−g(t))≤ε, which yields dv,p,S(f,W0)=0. Therefore, dv,p,Ω(f,W0)=0 for every v∈V and p∈A, that is, f∈W0. The proof is complete.
∎
Remark \theremark.
In [Tim05], Timofte proved W0=W (but see also [Tim05, Proposition 3]) in the case CV0W is one of the spaces listed in Section 2 (especially all the weights are bounded) and A⊂C(Ω,[0,1]); note that now S⊂ρW0 for every A-antisymmetric set S is equivalent to ρA⊂ρW0.
In analogy with [Pro71, Definition 3.5], we say a non-empty subset A of C(Ω,C) is symmetric if very maximal A-antisymmetric set (or (A,v)-antisymmetric set) reduces to a point (see e.g. Section 2 (d)). The following result now becomes a simple consequence of Theorem 3.2 which is a little bit more general than Nachbin [Nac65, Theorem 2], Prolla [Pro71] and Summers [Sum71]; here also note that the bounded condition of A (see Section 2) in general is not needed (but see also the Section 2 of antisymmetric set and Section 2).
Corollary \thecorollary(Localization Theorem).
Let A,CV0W,W0 be as in Theorem 3.2. Assume A is a multiplier of W0 and is symmetric. Then f∈W0 if and only if f(t)∈W0(t) for every t∈Ω.
The following corollary is essentially due to von Neumann (see also [Jew63]) in the setting that Ω is compact, 0,1,c∈M for some constant 0<c<1 and S=∅.
Corollary \thecorollary(Localization Theorem for C(Ω,[0,1])).
Let M⊂C(Ω,[0,1]) such that it is a multiplier of itself (i.e. for all φ∈M, φM+(1−φ)M⊂M) and S a closed subset of Ω. Assume that
(i)
M* separates Ω∖S,*
2. (ii)
for every t∈Ω∖S, ∃mi,t∈M, i=1,2,3, such that m1,t(t)=0, m2,t(t)=1 and 0<m3,t(t)<1,
3. (iii)
M∣S={0}.
Then M={f∈C(Ω,[0,1]):f∣S=0} where the topology is taken as the compact-open topology or the strict topology (see Section 2 (b) (d)).
Proof.
By the conditions (i) (ii) on M, all the (M,v)-antisymmetric sets are {x} (x∈Ω∖S) and S∩suppv (v∈V) where V is taken as in Section 2 (b) or (d). We claim that for t∈Ω∖S, M(t)=[0,1]. By Section 2, we get for every n,k∈N+,
[TABLE]
and so (1−m3,tn(t))k∈M(t). Since 0<m3,t(t)<1, one can easily see that for every ϵ>0 and a∈(0,1), there are n,k∈N+ such that ∣a−(1−m3,tn(t))k∣<ϵ (see also [PB17, Lemma 4.10]). Therefore, M(t)=[0,1]. This shows W0 defined in Theorem 3.2 is equal to {f∈C(Ω,[0,1]):f∣S=0}; or use Theorem 2.1 directly. The proof is complete.
∎
The following type of the Stone–Weierstrass theorem was reproved by many authors in different settings, see e.g. [Gli63, Pro71, Tim05] etc; usually for the case 1∈A and S=∅ (but see also [PM73, Corollary 2.11]).
Theorem 3.3** (Stone–Weierstrass Theorem).**
Let A be a subalgebra of C(Ω,C) satisfying the bounded condition with respect to V (see Section 2) and W a topological vector subspace of C(Ω,X). Let S be a closed subset of Ω. Take a linear subspace G of CV0W such that it is an A-module (i.e. AG⊂G) and GS=0. Assume the following conditions hold:
(i)
A* is self-adjoint (i.e. f∈A⇒f∈A);*
2. (ii)
A* separates Ω∖S;*
3. (iii)
AS=0, and for every t∈Ω∖S there is φ∈A such that φ(t)=0;
4. (iv)
for every ε>0, p∈A, and for every t∈Ω∖S, y∈X, there exists f∈G such that p(f(t)−y)<ε.
Then G={f∈CV0W:f∣S=0} in CV0W and A={φ∈C(Ω,C):φ∣S=0} in the compact-open topology (see Section 2 (b)).
Proof.
Since A is a subalgebra and satisfies the bounded condition with respect to V, the conditions (i) (ii) (iii) now imply that all the (A,v)-antisymmetric sets are {x} (x∈Ω∖S) and S∩suppv (where v∈V); see e.g. Section 2. In particular, if C(Ω,C) is endowed with the compact-open topology, then due to A(t)=C for t∈Ω∖S and AS=0, we have A={φ∈C(Ω,C):φ∣S=0} (by Theorem 2.1 or Theorem 3.2). Similarly, as G(t)=X for t∈Ω∖S (by condition (iv)) and GS=0, one gets G={f∈CV0W:f∣S=0} in CV0W; note that A is a multiplier of G. The proof is complete.
∎
3.3. polynomial algebra
For an index I and a linear subspace Y of X, we write P(Z)∈Y[Z],Z=(Zi)i∈I, which means P(Z) is a finite sum of terms of the type xZi1Zi2⋯Zim, where i1,i2,…,im∈I and x∈Y; here we also assume{i1,i2,…,im}=∅. For A⊂C(Ω,C) and X0⊂X, set
[TABLE]
where (φ⊗x)(t)≜φ(t)x.
The following result is classical (see e.g. [Bor76, Theorem 6.1]) especially for the case Ω is compact, X0=X and S=∅.
Let {ui}i∈I⊂CV0(Ω,R) such that it satisfies the bounded condition with respect to V (see Section 2) and S a closed subset of Ω. Assume
(i)
{ui}i∈I* separates Ω∖S,*
2. (ii)
uj∣S=0* (j∈I), and*
3. (iii)
for each t∈Ω∖S, there is j∈I such that uj(t)=0.
Let X0 be a dense linear subspace of X. Then the following polynomial algebra
[TABLE]
is dense in {f∈CV0(Ω,X):f∣S=0} (in the topology of CV0(Ω,X)).
Proof.
Let A=<{ui}i∈I>≜{P((ui)i∈I):P(Z)∈C[Z],Z=(Zi)i∈I} (i.e. the self-adjoint algebra generated by {ui}i∈I); in general we do not know whether 1∈A. Clearly, A⊂CV0(Ω,C) and satisfies the bounded condition with respect to V. Note that A⊗X0={P((ui)i∈I):P(Z)∈X0[Z],Z=(Zi)i∈I}⊂CV0(Ω,X) and A(A⊗X0)⊂A⊗X0. Now, the result follows from Theorem 3.3.
∎
From the above theorem, if A is a unital subalgebra of C(Ω,C) (resp. Cb(Ω,C)) which has a real base such that it separates Ω, and if X0 is a dense linear subspace of X, then A⊗X0 is dense in C(Ω,X) (resp. Cb(Ω,X)) in the compact-open topology (resp. in the strict topology).
Example \theexample.
Let Ω be compact. Assume Ω or X is Hausdorff. Let X1 be a locally convex topological vector space such that it densely embeds in X. Then C(Ω,X1) is dense in C(Ω,X) in the uniform topology.
Proof.
Here, note that even h∈C(Ω,X) such that h(Ω)⊂X1, this does not mean h∈C(Ω,X1). First assume Ω is Hausdorff. Then the self-adjoint algebra C(Ω,C) separates Ω and so C(Ω,C)⊗X1⊂C(Ω,X1) is dense in C(Ω,X). Now suppose X is Hausdorff. The proof given in Theorem 3.1 shows [x]C(Ω,C)⊂ρC(Ω,X), and so by Theorem 3.2 (or Theorem 2.1) we also have C(Ω,C)⊗X1⊂C(Ω,X1) is dense in C(Ω,X). The proof is complete.
∎
Write Cc(Ω,X)={f∈C(Ω,X):suppfis compact}.
Example \theexample.
Let Ω be locally compact and Cc(Ω,C)(t)=0 for all t∈Ω (e.g. Ω is Hausdorff or Ω is compact). Further, assume X is Hausdorff if Ω is not Hausdorff. If X0 is dense in X, then Cc(Ω,C)⊗X0 is dense in CV0(Ω,X). In particular, Cc(Ω,X) is dense in CV0(Ω,X) and Cc(Ω,C) is dense in CV0(Ω,C).
Proof.
Let A=Cc(Ω,R) and assume Ω is not Hausdorff.
Note that for all t∈Ω, A(t)=0. This implies there is h∈Cc(Ω,R) such that h(x)=h(y)=0 where y∈[x]A. Let g∈CV0(Ω,X) and x∗∈X∗ (the dual space of X), then f(t)=h(t)Rex∗(g(t))∈Cc(Ω,R) and so f(x)=f(y). This yields that Rex∗g(x)=Rex∗g(y) and then g(x)=g(y) (by the Hausdorff property of X). Therefore, by Theorem 3.2, Cc(Ω,C)⊗X0 is dense in CV0(Ω,X) as A is a subalgebra and A(Cc(Ω,C)⊗X0)⊂Cc(Ω,C)⊗X0.
If Ω is Hausdorff, then [x]A={x}. The result follows from Theorem 3.3 directly. This completes the proof.
∎
In the following, we discuss a vector-valued version of Bernstein problem but in a more concrete way. Let γ:R→R+ be continuous such that lim∣t∣→∞∣t∣nγ(t)→0 for all n∈N. The Bernstein problem asks for what function γ, C[z] is dense in CV0b(R,C) where Vb={γ}; if it is so, then such γ is called a fundamental weight [Nac65]. This problem was solved independently by Achieser, Mergelyan, and Pollard; see e.g. [Lub07] for details. Now we concentrate under what Nachbin family (weights) V, the polynomial algebra C[z]⊗X is dense in CV0(R,X). The following result is motivated by [Nac65, Theorem 2].
Theorem 3.5**.**
Let W be a linear subspace of CV0(R,X) such that it is a C[z]-module (i.e. C[z]W⊂W).
Assume for every v∈V, p∈A and f∈W, there is a fundamental weight γ such that
[TABLE]
Then for f∈CV0(R,X), f(t)∈W(t) for all t∈R if and only if f∈W.
Proof.
Here, we use the argument due to [Nac65]. Let W1=span{bu:b∈Cb(R,C),u∈W}, then Cb(R,C)W1⊂W1 and W⊂W1⊂CV0(R,X). Take f∈CV0(R,X) such that f(t)∈W(t) for all t∈R. By Section 3.2 (or Theorem 2.1), we have f∈W1. So for every ε>0, v∈V and p∈A, there is g∈W1 such that v(t)p(f(t)−g(t))≤ε for all t∈R. Write g(t)=∑i=1nbi(t)ui(t) where bi∈Cb(R,C) and ui∈W. Now by assumption we have fundamental weights γi such that
[TABLE]
Note that Cb(R,C) is contained in CV0b(R,C) for Vb={γi}; in particular, there is pi∈C[z] such that
[TABLE]
Let f1(t)=∑i=1npi(t)ui(t). Then f1∈W (as C[z]W⊂W) and
[TABLE]
i.e., f∈W. The proof is complete.
∎
Example \theexample.
Let Vα={Wα} where Wα(t)=exp−∣t∣α (the so-called Freud’s weight), and X0 a dense linear subspace of X. If α>1, then C[z]⊗X0 is dense in CV0α(R,X).
Proof.
It is well known that the Freud’s weight Wα is a fundamental weight if and only if α≥1 (see e.g. [Lub07, Corollary 1.5]). For f(t)=p(t)x where p∈C[z] and x∈X0, since C[z]⊂CV01(R,C), we have W1(t)p(f(t))≤Cf<∞ for all t∈R where Cf>0 is some constant depending on f. Now we have for α>1
[TABLE]
where suptWα(t)(W1(t))−2≤C1 (as α>1). Therefore, the above inequality holds for all f∈C[z]⊗X0. The result now follows from Theorem 3.5.
∎
3.4. approximation with interpolation
Lemma \thelemma.
Let A⊂C(Ω,[0,1]) and W a topological vector subspace of C(Ω,X).
Take a subset W0 of CV0W. Assume A is a multiplier of W0 and is symmetric (i.e. [t]A={t} for each t∈Ω).
Let S,B⊂Ω, T0={ti:i=1,2,…,n}⊂Ω a finite subset, xi∈W0(ti), i=1,2,…,n, and X0 a convex subset of X. Set
[TABLE]
Then A is also a multiplier of Wai. Particularly, f(t)∈Wai(t) for all t∈Ω if and only if f∈Wai.
Proof.
For u1,u2∈Wai and φ∈A, let u=φu1+(1−φ)u2. Then u∈W0 and u(ti)=xi, i=1,2,…,n, u∣S=0. Due to that φ(Ω)⊂[0,1] and X0 is convex, we also have u(B)⊂X0, i.e., u∈Wai. So A is a multiplier of Wai. Now by Section 3.2, f(t)∈Wai(t) for all t∈Ω if and only if f∈Wai.
∎
The above lemma has some striking consequences. We list some of them in the following. When B=∅, this case was already discussed in [Pro94, Section 4] and [PK02].
The following results (Theorem 3.6 and Section 3.4) generalize [Tim05, Theorem 16].
For X0⊂X, let co(X0) denote the convex hull of X0, i.e., co(X0) equals the closure of
[TABLE]
Theorem 3.6**.**
Let T0 be a finite subset of Ω.
(a)
If Ω is a locally compact Hausdorff space, then for every f∈CV0(Ω,X), ε>0, v∈V and p∈A, there is u∈Cc(Ω,C)⊗X⊂CV0(Ω,X) such that ∣f−u∣v,p<ε, u∣T0=f∣T0, u(Ω)⊂co(f(Ω)∪{0}), and suppu⊂suppf.
2. (b)
If Ω is a completely regular Hausdorff space, then for every f∈Cb(Ω,X), ε>0, v∈C0(Ω,R+) and p∈A, there is u∈Cb(Ω,C)⊗X such that ∣f−u∣v,p<ε, u∣T0=f∣T0, u(Ω)⊂co(f(Ω)), and suppu⊂suppf.
Proof.
Let S=Ω∖suppf. Without loss of generality, T0∩S=0. Let B=Ω, T0={ti:i=1,2,…,n} and xi=f(ti). Take W0=Cc(Ω,C)⊗X and X0=co(f(Ω)∪{0}) for the case (a), and W0=Cb(Ω,C)⊗X and X0=co(f(Ω)) for the case (b). For A=C(Ω,[0,1]), it is a multiplier of W0 and is symmetric.
Now let Wai be defined as in Section 3.4. We need to show f∈Wai and then it suffices to show f(t)∈Wai(t) for all t (by Section 3.4). If t∈T0∪S, then this is true. Let t∈Ω∖{T0∪S} and t0=t.
By the assumption on Ω, there are φi and open Vi, i=0,1,…,n, such that 0≤φi≤1, 0≤∑i=1nφi≤1, and
[TABLE]
i.e., φi(ti)=1 and suppφi⊂Vi; in addition, for the case (a), Vi is compact. For a proof, see e.g. [Rud87, Theorem 2.13] for the case (a); the case (b) can be proved similarly. Define
(1)
u~(s)=∑i=0nφi(s)f(ti) for the case (a); and
2. (2)
u~(s)=∑i=0nφi(s)f(ti)+(1−∑i=0nφi(s))f(t′) for the case (b) where t′ is chosen arbitrarily if S=∅, and t′∈S if S=∅.
So u~(Ω)⊂X0, u~∣S=0 (⇔suppu~⊂suppf), u~∣T0=f∣T0 and u~∈W0, i.e., u~∈Wai and f(t)=u~(t)∈Wai(t). The proof is complete.
∎
For two Nachbin families V,V′, we write V≤V′ if for every v∈V there is v′∈V′ such that v≤v′.
Corollary \thecorollary.
Suppose X is Hausdorff (but Ω is any topological space).
(a)
(See Timofte [Tim05, Theorem 16]) Let two Nachbin families V,V′ satisfy V′⊂C(Ω,R+) and V≤V′. The conclusion (a) in Theorem 3.6 also holds if f∈C0(Ω,X)∩CV0′(Ω,X) (in the topology of CV0(Ω,X)); particularly, if f∈C0(Ω,X) in the uniform topology.
2. (b)
The conclusion (b) in Theorem 3.6 also holds (but without assuming Ω is completely regular and Hausdorff).
Proof.
We will use the following fact due to Stone and Ĉech (see e.g. [GJ60, Theorem 3.9]).
∙
For any topological space T, there exist a completely regular Hausdorff space T and a continuous map π of T onto T, such that the map g↦g∘π is an isomorphism of C(T,R) onto C(T,R).
In fact, the space is given by T={[x]C(T,R):x∈T} and the map π is constructed by x↦[x]C(T,R). The topology of T is the weakest one such that all h:T→R satisfying h∘π∈C(T,R) are continuous. So for h∈C(T,R) and ε>0, the set
[TABLE]
is a neighborhood of y0∈T. In the following, we will write T=T if T is constructed through this way.
(a)
Note that since f∈C0(Ω,X) and X is Hausdorff, for every open neighborhood N of [math], the closure of f−1(X∖N) is compact. Particularly, for Ω0≜f−1(X∖{0}) and its corresponding space Ω0, they are locally compact. We show this is true for Ω0 as follows. Let f∈C(Ω0,X) such that f=f∘π. Take [t0]∈Ω0 and p0∈A such that p0(f([t0]))=0. Then V0≜{[t]:∣p0(f([t0]))−p0(f([t]))∣≤ε0} is a (closed) neighborhood of [t0] as p0∘f=p0∘f∘π∈C(Ω0,R) where ε0=p0(f([t0]))/2. Note that π−1V0={t:∣p0(f(t0))−p0(f(t))∣≤ε0} which is compact as f∈C0(Ω,X). It yields that V0 is compact. The above argument also shows that f∈C0(Ω0,X) and π:Ω0→Ω0 is proper.
Set V+={v′∈C(Ω0,R+):v′∘π∈V′∣Ω0}. Note that Cc(Ω0,X)⊂CV0+(Ω0,X) and CV0′(Ω0,X)⊂CV0(Ω0,X).
Without loss of generality, suppose T0⊂suppf. Let T0=π(T0), and ε>0, v∈V, p∈A. Choose v′∈V′ and v′∈V+ such that v≤v′ and v′∘π=v′.
Since f∈CV0+(Ω0,X) (due to f∈CV0′(Ω,X) and π being proper), by Theorem 3.6 (a), there is u∈Cc(Ω0,C)⊗X⊂CV0+(Ω0,X) such that ∣f−u∣v′,p<ε, u∣T0=f∣T0, u(Ω0)⊂co(f(Ω0)∪{0}), and suppu⊂suppf.
Define u=u∘π∈C(Ω0,C)⊗X. Then u∣T0=f∣T0, u(Ω0)⊂co(f(Ω0)∪{0}), and suppu⊂suppf. Moreover, one can easily see that suppu is compact (as suppu is compact and π is proper), i.e., u∈Cc(Ω0,C)⊗X; in addition, since Ω0 is open in Ω, we can assume u∈Cc(Ω,C)⊗X.
Now we have
[TABLE]
(b) Note that for y∈[x]C(Ω,R), we have h(x)=h(y) where h∈C(Ω,X) as X is Hausdorff (see also the proof of Theorem 3.1).
So for f∈Cb(Ω,X), we have a unique f∈Cb(Ω,X) such that f=f∘π; similarly for v∈C0(Ω,R+), there is v∈C0(Ω,R+) such that v∘π=v (see the proof in (a)). As Ω is a completely regular Hausdorff space, by Theorem 3.6 (b), we also have u∈Cb(Ω,C)⊗X such that ∣f−u∣v,p<ε, u∣π(T0)=f∣π(T0), u(Ω)⊂co(f(Ω)), and suppu⊂suppf. Let u=u∘π which is the desired function. The proof is complete.
∎
In the following, we focus on a concrete problem, i.e., to determine the closure of an operator’s domain, which often occurs in the operator semigroup theory, e.g., in the study of delay equations by using operator semigroup theory (see e.g. [EA06, EN00] and the references therein); the following is such an example.
Example \theexample.
Let A:D(A)⊂X→X be a linear (unbounded) operator where D(A) is its domain, X0=D(A) and
[TABLE]
Consider
[TABLE]
We will show D1,0=CA below.
The following result about polynomial seems well known.
Lemma \thelemma.
Given aij,xi∈C, there is a polynomial p(x) satisfying p(j)(xi)=aij, where xi are different from each other, i=1,2,…,n,j=0,1,…,m.
Proof.
A quick proof can be as follows. For m=0, this is well known. Suppose this lemma holds for m=s−1, i.e., there is a polynomial p such that p(j)(xi)=aij,j=0,1,…,s−1. Let us consider the case m=s.
Take the polynomial
[TABLE]
note that p1(s)(xi)=0,p1(k)(xi)=0, k=0,1,…,s−1, i=1,2,…n. Set
[TABLE]
where b(x) is a polynomial which will be chosen later. One gets
[TABLE]
and
[TABLE]
Thus, it suffices to take b(x) such that b(xi)=p1(s)(xi)ais−p(s)(xi), giving the desired polynomial such that f(s)(xi)=ais. The proof is complete.
∎
Remark \theremark.
The same argument in fact yields the following result.
∙
Given different n points xi, i=1,2,…,n, and miji(λ)∈C, then there is a unique polynomial Pλ with degree less that j1+j2+⋯+jn+n−1 such that
[TABLE]
Moreover, if all λ↦miji(λ) are Ck and Pλ(t)=∑aj(λ)tj, then all λ↦aj(λ) are Ck.
Lemma \thelemma.
Let Ω be a completely regular Hausdorff space, Ti a finite subset of Ω, Sj⊂Ω such that Sj is compact, Xj a convex subset of X, Bi⊂X, j=1,2,…,n, i=1,2,…,m; in addition Si1∩Si2=∅ (i1=i2). Set
[TABLE]
Then KTi,Bi;Sj,Xj=KTi,Bi;Sj,Xj (in the uniform topology).
Proof.
Following the notation suggested in [Rud87], for h∈C(Ω,[0,1]), let M≺h≺N denote h∣M=1 and supph⊂N, where M⊂N⊂Ω.
For simplicity, we only consider n=m=1. Without loss of generality, we can assume T1∩S1=∅. Write T1={si:i=1,2,…,k}. Clearly, KT1,B1;S1,X1⊂KT1,B1;S1,X1. Let us show KT1,B1;S1,X1⊂KT1,B1;S1,X1. Take g∈KT1,B1;S1,X1. Let ε>0, p∈A, and define
[TABLE]
Since S1 is compact, there are s~i∈S1 (k+1≤i≤k+k1) such that S1⊂⋃i=k+1k+k1Vs~i(ε/2). Take si∈Vs~i(ε)∩S1=∅ (as s~i∈S1). Then
[TABLE]
Choose open sets Vi such that si∈Vi⊂Vsi(ε) (1≤i≤k) (⋃i=1kVi)∩S1=∅ and Vi∩Vj=∅ (i=j). As g(si)∈X1, i≥k+1, there are bi∈X1 such that p(g(si)−bi)<ε; similarly, for 1≤i≤k, there are bi∈B1 such that p(g(si)−bi)<ε. Let Ki=S1∩Vs~i(ε/2), i≥k+1. Then Ki is compact and Ki⊂Vs~i(ε). Since Ω is completely regular and Hausdorff, we have hi∈C(Ω,[0,1]) such that
[TABLE]
Write
[TABLE]
Then φi(si)=1, suppφi⊂Vi (1≤i≤k), and ∑i=k+1k+k1φi(t)=1 if t∈S1; in addition, 0≤∑i=1k+k1φi≤1. That is, {φi} is a unit partition of T1∪S1. Define
[TABLE]
We have gε,p(si)=bi∈B1 (1≤i≤k), and for t∈S1, gε,p(t)=∑i=k+1k+k1φi(t)bi∈X1 (as X1 is convex), that is, gε,p∈KT1,B1;S1,X1. Moreover,
[TABLE]
Therefore g∈KT1,B1;S1,X1, and this completes the proof.
∎
Lemma \thelemma.
Let −∞<a≤ti≤b<∞, Bij⊂X, i=0,1,2,…,n, j=0,1,2,…,m, and
[TABLE]
Then P0,X=K0,X and P1,X=C([a,b],X) (in the uniform topology).
Proof.
Let A0={p∣[a,b]:p∈C[z],p(j)(ti)=0,0≤i≤n,0≤j≤m} and S={ti:1≤i≤n}. First assume Bij={0}. In this case, we have A0P0,X⊂P0,X and all the assumptions for S, A=A0 and G=P0,X in Theorem 3.3 are satisfied; conditions (iii) (iv) hold due to Section 3.4. This shows that P0,X=K0,X.
Consider the general case; without loss of generality, let Bij=∅. For brevity, let n=1,m=1. By Section 3.4, it suffices to consider the approximation of g∈C([a,b],X), g(ti)=bi0 where bij∈Bij. Using Section 3.4, we can take four polynomials pij such that p00(t0)=1, p10(t1)=1, p01′(t0)=1, p11′(t1)=1 and others of pij(l)(tk) equal [math] (i,j,l,k∈{0,1}). Set f(t)=∑pij(t)bij. Then f(j)(ti)=bij∈Bij. For g0=g−f and every p∈A, by the above proof, we have polynomials gn,p such that gn,p⇉g0 and gn,p(j)(ti)=0. Now gn,p+f⇉g and gn,p+f∈P0,X. That is, P0,X=K0,X.
The proof of P1,X=C([a,b],X) is similar (and easier). This completes the proof.
∎
Here is a simple application of Section 3.4 which is a well known result: For every ε>0, n,m∈N and every f∈Cm([0,1],C), ti∈[0,1], i=1,2,…,n, there is g∈C[z] such that g(j)(ti)=f(j)(ti) (0≤i≤n, 0≤j≤m) and ∣f−g∣≤ε.
By Section 3.4, it suffices to consider the approximation of φ∈C([a,b],X), where φ(0)∈D(A). For every p∈A, by Section 3.4, we know there are φn,p∈C[z]⊗X such that φn,p⇉φ, φn,p(0)=φ(0) and φn,p′(0)=Aφ(0); particularly φn,p′(0)=Aφn,p(0), i.e., φn,p∈D1,0. The proof is complete.
∎
For λ∈R, write λ−A=λ⋅id−A.
Example \theexample.
Let A,X0,CA be as in Section 3.4. Assume X is a Banach space, L:C([−1,0],X)→X is a bounded linear operator and limλ→∞∥(λ−A)−1∥=0.
Consider
[TABLE]
Then D1=CA.
Proof.
By Section 3.4, it is sufficient to consider the approximation of φ∈C([a,b],X) such that φ(0)∈D(A). First, by Section 3.4, there are φn∈C[z]⊗X such that φn⇉φ and φn′(0)=Aφn(0), φn(0)∈D(A). Write
[TABLE]
Set φn=φn−ϵλn⊗xn for some large λn>0 and xn∈X0 which will be chosen later. Then we have
[TABLE]
and so if we let (A+Lλn−λn)xn=Lφn, then φn′(0)=Aφn(0)+Lφn, i.e., φn∈D1. Note that since ∥Lλ∥≤∥L∥ for all λ>0 and ∥(λ−A)−1∥→0 as λ→∞, we have λ−A−Lλ is invertible for large λ>0 and
[TABLE]
in addition, ∥(λ−A−Lλ)−1∥→0 as λ→∞. Let xn=(A+Lλn−λn)−1Lφn where λn=n for large n∈N. As φn⇉φ, we get xn→0 and so supt∈[−1,0]∣(ϵλn⊗xn)(t)∣≤∣xn∣→0, i.e., φn⇉φ. This shows that D1=CA and completes the proof.
∎
Section 3.4 is related with the following delay operator Ad when A is a Hille–Yosida operator (see e.g. [EN00, Definition 3.22]),
[TABLE]
In this case, limλ→∞∥(λ−A)−1∥=0 is satisfied by the definition of Hille–Yosida operator.
For more details, see e.g. [EA06, EN00] and the references therein.
Acknowledgments
The author is very indebted to the referees for their meaningful comments which improved the original manuscript.