
TL;DR
This paper introduces the concept of the $ ext{I}$-core for sequences in topological vector spaces, providing characterizations and applications to convergence types, extending existing results in the field.
Contribution
It offers new characterizations of the $ ext{I}$-core and applies these to simplify and extend results on convergence of double sequences.
Findings
The $ ext{I}$-core of a bounded sequence in $ extbf{R}^k$ is the convex hull of its $ ext{I}$-cluster points.
Two characterizations of the $ ext{I}$-core are established.
Applications include simplified proofs and extensions in convergence theory for double sequences.
Abstract
Given an ideal on and a sequence in a topological vector space, we let the -core of be the least closed convex set containing for all . We show two characterizations of the -core. This implies that the -core of a bounded sequence in is simply the convex hull of its -cluster points. As applications, we simplify and extend several results in the context of Pringsheim-convergence and -convergence of double sequences.
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Taxonomy
TopicsApproximation Theory and Sequence Spaces · Rings, Modules, and Algebras · Advanced Banach Space Theory
Characterizations of the Ideal Core
Paolo Leonetti
Institute of Analysis and Number Theory, Graz University of Technology, Kopernikusgasse 24/II, 8010 Graz, Austria
[email protected] \urlhttps://sites.google.com/site/leonettipaolo/
Abstract.
Given an ideal on and a sequence in a topological vector space, we let the -core of be the least closed convex set containing for all . We show two characterizations of the -core. This implies that the -core of a bounded sequence in is simply the convex hull of its -cluster points. As applications, we simplify and extend several results in the context of Pringsheim-convergence and -convergence of double sequences.
Key words and phrases:
Ideal core, ideal cluster point, closed convex hull, Pringsheim limit, -convergence, double sequence, Euler -core.
2010 Mathematics Subject Classification:
Primary: 40A35. Secondary: 54A20, 40A05.
P.L. was supported by the Austrian Science Fund (FWF), project F5512-N26.
1. Introduction
Let be an ideal on the positive integers , that is, a family of subsets of closed under taking finite unions and subsets. It is also assumed that contains the family of finite sets and that is not the entire power set . Let be the dual filter, that is, the family of such that . Let be the ideal of asymptotic density zero sets, i.e., .
Given a sequence taking values in a topological space , denote by the set of -cluster points of , that is, the set of all such that for all neighborhoods of . -cluster points are usually called statistical cluster points if , see [9]. It is known that is closed. In particular, is compact for all real bounded sequences , cf. [2, 13, 14] for basic facts and characterizations of -cluster points.
The classical Knopp core of a complex sequence is defined by
[TABLE]
where denotes the closed convex hull of , cf. [10, Section 1] and [12]. It is shown in [19] that if is, in addition, bounded, then the Knopp core of coincides with
[TABLE]
It is clear that the Knopp core of a real bounded sequence is the compact interval . Then, the statistical core of a real sequence has been introduced in [11, Section 3] as the closed interval , where and are the statistical limit inferior and statistical limit superior of , that is, and , respectively. This has been soon extended to complex sequences in [10], the analogue of (1) being
[TABLE]
where is the collection of closed half-planes which contain almost all , that is, except a set of for which the index set has asymptotic density zero. Right after, the authors prove the statistical analogue of (2) for complex bounded sequences , where they replace with the statistical limit superior of the real sequence .
The last extension for real bounded sequences is due to Connor, see [5, p. 410] and [6, Section 2]: given a “density” , that is, a finitely additive diffuse probability measure defined on a field of subsets of , the -statistical core of is the compact interval
[TABLE]
where is the kernel of . On the other hand, for every ideal , there exists a density such that (it is sufficient to let be the characteristic function of , defined on ), hence there is no further need to speak about densities.
The aim of this article is to provide a general notion of -core of a sequence in a topological vector space, unify the above characterizations, and establish its relationship with the set of -cluster points. In particular, we show that if is a bounded sequence in then its -core is simply the convex hull of . As an application, we simplify and extend several results in the context of Pringsheim-convergence and -convergence of double sequences.
2. Ideal Core and Main Results
We start with our main definition:
Definition 2.1**.**
Given an ideal on , the -core of a sequence taking values in a topological vector space is
[TABLE]
In other words, the -core of is the least closed convex set containing for all . (Hereafter, and stand for the convex hull and closed convex hull of , respectively.)
Note that if is a complex sequence and then is the Knopp core defined in (1). Also, the statistical core defined in (3) can be rewritten as
[TABLE]
and it is known that, for each , the inner intersection coincides with , hence . Lastly, if is a real bounded sequence, then the -statistical core defined in (4) corresponds to , as it follows from Corollary 2.3 below.
Our main result follows:
Theorem 2.2**.**
Let be a sequence in a first countable locally convex topological vector space such that the closure of is compact for some . Then
[TABLE]
Note that the hypothesis that the closure of is compact for some cannot be omitted from Theorem 2.2. Indeed, consider the following example: let be the real sequence defined by for all . Then and .
We recall that a sequence in is said to be -bounded whenever there exists a constant such that . Accordingly:
Corollary 2.3**.**
Let be an -bounded sequence in . Then
[TABLE]
Hence belongs to the -core if and only if for some -cluster points .
Moreover, we have the following representation:
Corollary 2.4**.**
Let be a sequence in a Banach space such that for some compact . Then, if and only if there exists a Borel regular probability measure supported on such that
[TABLE]
Lastly, if is an Hilbert space, we obtain the following extension of (2):
Theorem 2.5**.**
Let be a sequence in a Hilbert space such that the closure of is compact for some . Then
[TABLE]
where for all .
We leave as open question for the interested reader to establish whether Theorem 2.5 holds in Banach space.
Proofs follow in Section 3. Applications are given in Section 4.
3. Proofs
Let us start with a preliminary lemma.
Lemma 3.1**.**
Let be a sequence in a topological vector space with a countable local base at [math]. Then .
Proof.
Since is first countable, it follows by [14, Theorem 4.2] that
[TABLE]
In addition, for all , hence . Therefore . ∎
We can proceed to the proof of our main result.
Proof of Theorem 2.2.
The inclusion follows by Lemma 3.1. At this point, we have only to show that
[TABLE]
To this aim, fix . By the Hahn–Banach separation theorem [17, Theorem 3.4], there exist a continuous linear functional and such that for all . It follows that is a convex open set such that and, thanks to [14, Theorem 4.2],
[TABLE]
In addition, is a closed convex set such that and .
Considering that there exists such that the closure of is compact, it follows by [7, Corollary 3.1.5] that there exist such that . Setting , we obtain
[TABLE]
To sum up, for every there exists such that the closed convex hull of is contained in ; in particular,
[TABLE]
hence . This implies the inclusion (6). ∎
Proof of Corollary 2.3.
It follows by the standing hypothesis that there exists such that the closure of is compact. In addition, it is known that for all compact sets . Therefore, thanks to Theorem 2.2, we conclude that . The second claim follows by Caratheodory’s theorem, cf. [17, p.73]. ∎
In the following proof, we denote by the set of extreme points of a convex set in a vector space, that is, the set of all such that if for some and then .
Proof of Corollary 2.4.
Recall that a Banach space is a locally convex first countable topological vector space and its continuous dual separates points. Now, if then , hence the closure of is compact. Moreover, is compact by [17, Theorem 3.20.c] and convex by [17, Theorem 1.13.d].
Considering that and that is nonempty by [14, Lemma 3.1.vi] and contained in the -core of by Lemma 3.1, it follows that is a nonempty convex compact set. Therefore, by the Krein–Milman theorem [17, Theorem 3.23] and Theorem 2.2, we obtain that
[TABLE]
where . Lastly, by the Choquet’s theorem [17, Exercise 25, p.89 and p.402], for each there exists a Borel regular probability measure supported on such that
[TABLE]
On the other hand, is contained in the compact set , thanks to Milman’s theorem [17, Theorem 3.25].
Conversely, if is a Borel regular probability measure supported on then
[TABLE]
see [17, Theorem 3.27]. ∎
Recall that, according to [17, Theorem 1.24], a first countable topological vector space is locally convex if and only if its topology is compatible with an invariant metric for which the open balls are balanced and convex. Denoting by a compatible metric of this type, we have:
Lemma 3.2**.**
With the same hypotheses of Theorem 2.2 and the notation of Theorem 2.5, it holds
[TABLE]
where for all .
Proof.
First, let us show that admits a maximum so that each is well defined. To this aim, fix . By hypothesis there exists such that the closure of , hereafter denoted by , is compact. Then fix some and define the sequence by if and otherwise. Thanks to [14, Lemma 3.1.v], we have . Hence, let us suppose without loss of generality that for all .
Considering that the section is continuous and is compact, the real sequence is bounded by a constant , hence is compact and admits a maximum, let us say . Note also that is convex since can be rewritten as and each open ball is convex.
At this point, fix also . We claim that . Indeed, suppose for the sake of contradiction that , that is, and set . Since is an -cluster point and for all , we obtain
[TABLE]
Considering that is compact, it follows by [14, Lemma 3.1.vi] that it contains an -cluster point of the sequence (which is, in particular, bigger than ), contradicting that . Therefore . Since the latter intersection is closed and convex, it follows by Theorem 2.2 that
[TABLE]
which completes the proof. ∎
Proof of Theorem 2.5.
The inclusion follows by Lemma 3.2. Conversely, with the same notation of the proof of Lemma 3.2, we have to prove that
[TABLE]
To this aim, fix and . Now since the underlying metric is translation-invariant, we can assume without loss of generality that and . Then we need to show that there exists such that , that is, . By the Hahn–Banach separation theorem [17, Theorem 3.4], there exist a continuous linear functional and such that for all . Then
[TABLE]
is a closed convex hyperplane separating [math] and . By [17, Theorem 12.3] there exists a unique with minimal norm. In addition, is bounded, hence the projection of on is bounded set, i.e., it is contained in an open ball of center and radius . Since is orthogonal to for all , it follows that is orthogonal to for all and . It follows that
[TABLE]
In particular, for all sufficiently large and . Therefore there exists such that the closed ball with center and radius contains , hence also , and does not contain the origin. Therefore inclusion (7) follows. ∎
4. Applications
4.1. Ideal convergence
We recall that a sequence taking values in a topological space is said to be -convergent to , shortened with , provided that for all neighborhoods of . If is contained modulo in a compact set, we have the following characterization, see [14, Corollary 3.4]:
Lemma 4.1**.**
Let be a sequence in first countable space such that for some compact . Then if and only if .
Thus, as an immediate consequence of Theorem 2.2 and Lemma 4.1, we obtain:
Proposition 4.2**.**
Let be a sequence in a locally convex first countable topological vector space such that for some compact . Then if and only if .
This has been obtained in [11, Theorem 3] for the case and (in such case, and are usually called statistical limit inferior and statistical limit superior, respectively); for the case of real double sequences see [3, Theorem 2.6] and [18, Theorem 2.6], cf. Sections below.
Note that the hypothesis for some compact cannot be removed. Indeed, let where is the -th unit vector in with the supremum norm. Then is not convergent and, on the other hand, its Knopp core is .
4.2. Pringsheim core and statistical Pringsheim core
A real double sequence has Pringsheim limit provided that for every there exists such that for all . Identifying ideals on countable sets with ideals on through a fixed bijection, it is easily seen that this is equivalent to , where is the ideal defined by
[TABLE]
Equivalently, is the ideal on containing the complements of for all , i.e., the smallest ideal containing vertical lines and horizontal lines.
Then, Patterson introduced in [16] the P-core of a real double sequence as the least closed convex set which includes all the points , for . This coincides with Definition 2.1 for and . Hence, it follows by Corollary 2.3 that:
Proposition 4.3**.**
The P-core of a bounded double sequence with values in is the convex hull of .
At this point, for each , let be the uniform probability measure on and define the ideal
[TABLE]
Note that . The notion of convergence of real double sequences with respect to the ideal has been recently introduced in [15]; here, it has been simply defined “statistical convergence of double sequences”.
In this regard, the statistical core (or, more properly, statistical P-core) of a real bounded double sequence has been defined in [3, Definition 3.1] as the compact interval
[TABLE]
This coincides with , thanks to Corollary 2.3.
4.3. -core
Given ideals on , we let be their Fubini product, i.e., the ideal of all sets such that
[TABLE]
cf. [8, p.8]. Accordingly, note that the ideal defined in (8) can be written as
[TABLE]
where .
A new notion of convergence for double sequences, called -convergence, has been studied in [18, Section 1]: a real double sequence is -convergent to provided that for every there exists such that for each there is for which for all . It is easily seen that is -convergent to if and only if
[TABLE]
Here, the ideal stands for the transpose of the Fubini product , i.e.,
[TABLE]
where . Notice that , hence , which is [18, Theorem 2.8].
Similarly to the P-core, the -core of a real double sequence is defined in [18, Definition 2.10] to be the closed interval Again, thanks to Corollary 2.3, this coincides with .
The following result has been obtained in [18, Theorem 2.11] for the case and bounded real double sequences , cf. also [1, Lemma 2.2]:
Proposition 4.4**.**
Let be two sequences in a locally convex first countable topological vector space such that and for some compact . Then .
Proof.
By [14, Lemma 3.5.i] we have . The conclusion follows by Theorem 2.2. ∎
4.4. Euler -core
Fix and define the infinite lower triangular matrix by
[TABLE]
if and otherwise. The Euler -core of a complex-valued sequence , denoted by , has been defined in [4, Definition 2] as the least closed convex hull containing for all , where for all . In other words, this is the Knopp core of , that is,
[TABLE]
In this context, the analogue of (2) has been shown in [4, Theorem 18]; hence it is a special case of Theorem 2.5.
Acknowledgments
The author is grateful to an anonymous referee for suggestions that helped improving the overall presentation of the paper.
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