A generic approach to measuring the strength of completeness/compactness of various types of spaces and ordered structures
Hanna \'Cmiel, Franz-Viktor Kuhlmann, Katarzyna Kuhlmann

TL;DR
This paper introduces a universal framework for measuring and comparing the strength of completeness and compactness properties across various mathematical spaces and structures, enabling unified analysis and fixed point results.
Contribution
It develops a generic classification method for encoding and assessing the strength of completeness and contractiveness in diverse spaces, facilitating cross-application transfer of concepts.
Findings
Defined notions of completeness for multiple structures
Established fixed point theorems based on these notions
Demonstrated transferability of concepts across different spaces
Abstract
With a simple generic approach, we develop a classification that encodes and measures the strength of completeness (or compactness) properties in various types of spaces and ordered structures. The approach also allows us to encode notions of functions being contractive in these spaces and structures. As a sample of possible applications we discuss metric spaces, ultrametric spaces, ordered groups and fields, topological spaces, partially ordered sets, and lattices. We describe several notions of completeness in these spaces and structures and determine their respective strengths. In order to illustrate some consequences of the levels of strength, we give examples of generic fixed point theorems which then can be specialized to theorems in various applications which work with contracting functions and some completeness property of the underlying space. Ball spaces are nonempty sets of…
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A generic approach to measuring the strength of completeness/compactness of various types of spaces and ordered structures
Hanna Ćmiel, Franz-Viktor Kuhlmann and Katarzyna Kuhlmann
University of Szczecin, Institute of Mathematics, ul. Wielkopolska 15, 70-451 Szczecin, Poland
University of Szczecin, Institute of Mathematics, ul. Wielkopolska 15, 70-451 Szczecin, Poland
University of Szczecin, Institute of Mathematics, ul. Wielkopolska 15, 70-451 Szczecin, Poland
(Date: November 28, 2020)
Abstract.
With a simple generic approach, we develop a classification that encodes and measures the strength of completeness (or compactness) properties in various types of spaces and ordered structures. The approach also allows us to encode notions of functions being contractive in these spaces and structures. As a sample of possible applications we discuss metric spaces, ultrametric spaces, ordered groups and fields, topological spaces, partially ordered sets, and lattices. We describe several notions of completeness in these spaces and structures and determine their respective strengths. In order to illustrate some consequences of the levels of strength, we give examples of generic fixed point theorems which then can be specialized to theorems in various applications which work with contracting functions and some completeness property of the underlying space.
Ball spaces are nonempty sets of nonempty subsets of a given set. They are called spherically complete if every chain of balls has a nonempty intersection. This is all that is needed for the encoding of completeness notions. We discuss operations on the sets of balls to determine when they lead to larger sets of balls; if so, then the properties of the so obtained new ball spaces are determined. The operations can lead to increased level of strength, or to ball spaces of newly constructed structures, such as products. Further, the general framework makes it possible to transfer concepts and approaches from one application to the other; as examples we discuss theorems analogous to the Knaster–Tarski Fixed Point Theorem for lattices and theorems analogous to the Tychonoff Theorem for topological spaces.
Key words and phrases:
complete, compact, spherically complete, ball space, metric space, ultrametric space, topological space, partially ordered set, lattice, ordered abelian group, ordered field, fixed point theorem, Caristi–Kirk Fixed Point Theorem, Knaster–Tarski Theorem, Tychonoff Theorem.
2010 Mathematics Subject Classification:
Primary 54A05, 54H25; Secondary 03E75, 06A05, 06A06, 06B23, 06B99, 06F20, 12J15, 12J20, 13A18, 47H09, 47H10, 54C10, 54C60, 54E50.
The first two authors are supported by Opus grant 2017/25/B/ST1/01815 from the National Science Centre of Poland.
Corresponding author: Franz-Viktor Kuhlmann
Contents
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2 Generic fixed point theorems and the notion of “contractive function”
-
4.5 Overview of conditions for equivalences in the hierarchy
-
5.3 Metric spaces with Caristi–Kirk balls and Oettli–Théra balls
1. Introduction
In view of the notions of completeness of metric spaces, spherical completeness of ultrametric spaces and compactness of topological spaces, the question arose how these notions can be “reconciled”, which indicates the search for some “umbrella” notion. The question was triggered in the early 1990s by the appearance of an ultrametric version of Banach’s Fixed Point Theorem (see [24]), which turned out to be a useful tool in valuation theory. An attempt at finding a generic fixed point theorem for “metric and order fixed point theory” was made by M. Kostanek and P. Waszkiewicz in an unpublished paper in the early 2010s. However, the structure they introduced for this purpose is quite involved. Likewise, it was noticed in private communications in the late 1990s (inspired by the article [13]) that ultrametric fixed point and related theorems appear to have a deeper topological background; but it was only in 2011 that this observation led to the ideas for the article [14], in which ball spaces were first introduced. They allowed us to extract the essential core of the proofs of several fixed point theorems and present it in the simplest possible structure. The resulting “umbrella theorems” were then used in [13, 15, 16, 18]) to prove fixed point theorems in several different settings.
While fixed point theory was the driving force behind this development, the notions we introduced are fundamental and have a multitude of other aspects and applications. They helped to shape the approach and results on symmetrically complete ordered fields in [17]. Analogues of basic notions from topology are studied in [1]. The articles [11, 12] are dealing with problems in ultrametric and ball spaces that arose when ultrametric spaces were investigated from the particular ball spaces point of view. In [2] the ball spaces approach is used to prove several principles that are related to Banach’s Fixed Point Theorem but are not themselves fixed point theorems.
The purpose of the present paper is to systematically develop the abstract theory of ball spaces and to provide a centerpiece that ties the various applications and directions of research together. While presenting several new results, its aim is also to present an overview.
A main goal is to show that ball spaces are suitable to encode various completeness notions, and to measure and compare the strength of these notions. Fixed point theorems will be used to illustrate the consequences of the level of strength and to show (with more details than in [14]) how the umbrella notion makes it possible to formulate generic fixed point theorems which then can be specialized to theorems in the various applications.
The inspiration for the minimal structure that allows the encoding of notions of completeness is taken from ultrametric spaces and their notions of “ultrametric ball” and “spherically complete”. We recall here the basic definitions that were first introduced in [14].
Definition 1.1**.**
A ball space consists of a nonempty set together with a nonempty family of distinguished nonempty subsets of (called balls).
Note that , a subset of the power set , is partially ordered by inclusion; we will write when we refer to this partially ordered set (in short: poset).
Definition 1.2**.**
A nest of balls in is a nonempty totally ordered subset of . A ball space is called spherically complete if every nest of balls has a nonempty intersection.
We note that if is spherically complete and if , then also is spherically complete.
Beyond the basic notion of “spherically complete”, we will distinguish various levels of spherical completeness, which then provide a tool for measuring the strength of completeness in the spaces and ordered structures under consideration. On the one hand, we can specify what the intersection of a nest really is, apart from being nonempty. On the other hand, we can consider intersections of more general collections of balls than just nests.
A directed system of balls is a nonempty collection of balls such that the intersection of any two balls in the collection contains a ball included in the collection. A centered system of balls is a nonempty collection of balls such that the intersection of any finite number of balls in the collection is nonempty. Note that every nest is a directed system, and every directed system is a centered system (but in general, the converses are not true).
We introduce the following hierarchy of spherical completeness properties:
S1: The intersection of each nest in is nonempty.
S2: The intersection of each nest in contains a ball.
S3: The intersection of each nest in contains maximal balls.
S4: The intersection of each nest in contains a largest ball.
S5: The intersection of each nest in is a ball.
S: The same as Si, but with “directed system” in place of “nest”.
S: The same as Si, but with “centered system” in place of “nest”.
Note that S1 is just the property of being spherically complete. We will use both names, depending on the context.
The strongest of these properties is S; we will abbreviate it as S∗ as it will play a central role, enabling us to prove useful results about several important ball spaces that have this property (it is the “star” among the above properties). In Section 5.6 we will define an even stronger (but much more rare) property, namely that arbitrary intersections of balls are again balls.
We have the following implications:
[TABLE]
A question which will be addressed at various points in this paper is under which conditions some of the implications can be reversed. For instance, it will be shown in Corollary 4.3 that S4 and S are equivalent.
In Section 2 we exemplify the (explicit or implicit) use of spherical completeness and its stronger versions by presenting generic fixed point theorems for ball spaces. We discuss various ways of encoding the property of a function of being contractive in the ball space language. We demonstrate the flexibility of ball spaces, which allows us to taylor them to the specific function under consideration. In connection with Theorem 2.7 we introduce the idea of associating with every element a ball , leading to the very useful notion of “Bx–ball space”.
The proofs for the generic fixed point theorems will be given in Section 3. We use Zorn’s Lemma as the main tool in two different ways: it can be applied to the set of all balls as well as to the set of all nests, as both are partially ordered by inclusion.
The properties of hierarchy (1) will be studied in more detail in Section 4. We clarify the connection between properties in the hierarchy and properties of posets. Finally we reveal the strong properties of ball spaces that are closed under various types of nonempty intersections of balls.
In Section 5 we discuss the ways in which ball spaces can be associated with metric spaces, ultrametric spaces, ordered groups and fields, topological spaces, partially ordered sets, and lattices. In each case we determine which completeness property is expressed by the spherical completeness of the associated ball space; an overview is given in the table below. We also study the properties of the associated ball spaces, in particular which of the properties in the hierarchy (1) they satisfy.
[TABLE]
In this table, the second column indicates a ball space whose spherical completeness is equivalent to the completeness property stated in the third column. In the case of metric spaces, the intuitive ball space to consider is that of all closed metric balls. However, the spherical completeness of this ball space in general is stronger than completeness. See Section 5.2 for details.
The last entry, the second one for metric spaces, is different from all the other ones. In all other cases the table has to be read as saying that the completeness property of the given space is equivalent to the spherical completeness of one single associated ball space containing the indicated balls. But if we work with Caristi–Kirk balls or Oettli–Théra balls, then the completeness of the metric space is equivalent to the spherical completeness of a whole variety of Caristi–Kirk ball spaces or Oettli–Théra ball spaces that can be defined on it (see Section 5.3). While this may appear impracticable at first glance, it turns out that these types of balls offer a much better ball spaces approach to metric spaces than the metric balls.
Not only the specialization of the general framework to particular applications is important. It is also fruitful to develop the abstract theory of ball spaces, in particular the behaviour of the various levels of spherical completeness in the hierarchy (1) under basic operations on ball spaces.
In Section 6.1 we study S∗ ball spaces. Examples are the compact topological spaces, where we take the balls to be the nonempty closed sets. Their ball spaces are closed under arbitrary nonempty intersections of balls, and we make use of the results of Section 4. We show that S∗ ball spaces allow the definition of what we call “spherical closures” of subsets. They help us to deal with ball space structures induced on subsets of the set underlying the ball space.
In Section 7 we consider set theoretic operations on ball spaces, such as their closure under finite unions or nonempty intersections of balls, and we study the behaviour of spherical completeness properties under these operations. We use these preparations to associate a topology to each ball space and show that it is compact if and only if the ball space is S.
Products of ball spaces will be studied in Section 8. In the paper [1], we discuss a notion of continuity for functions between ball spaces, as well as quotient spaces and category theoretical aspects of ball spaces. The products we define here turn out to be the products in a suitable category of ball spaces.
Further, the fact that a general framework links various quite different applications can help to transfer ideas, approaches and results from one to the other. For instance, the Knaster–Tarski Theorem in the theory of complete lattices ([33]) presents a useful property of the set of fixed points: they form again a complete lattice. In Section 6.2, using the results from Section 6.1, we prove a ball spaces analogue of the Knaster–Tarski Theorem (Theorem 6.8), and an analogue for topological spaces (Theorem 6.12). A further transfer to other settings, such as ultrametric spaces, is possible and will be presented in a subsequent paper.
Similarly, in Section 8 the Tychonoff Theorem from topology is proven for ball spaces and then transferred to ultrametric spaces. To derive the topological Tychonoff Theorem from its ball spaces analogue, essential use is made of the results of Section 7.
We hope that we have convinced the reader that the advantage of a general framework is (at least) threefold:
compare the strength of completenes properties in various spaces and ordered structures, and transfer concepts and results from one to another, provide generic proofs of results (such as generic fixed point theorems) which then can be specialized to various applications,
exhibit the underlying principles that are essential for theorems working with some completeness notion in various spaces and ordered structures.
2. Generic fixed point theorems and the notion of “contractive function”
Fixed Point Theorems (FPTs) can be divided into two classes: those dealing with functions that are in some sense “contracting”, like Banach’s FPT and its ultrametric variant (cf. [24], [27]), and those that do not use this property (explicitly or implicitly), like Brouwer’s FPT. In this section, we will be concerned with the first class.
Under which conditions do “contracting” functions have a fixed point? First of all, we have to say in which space we work, and we have to specify what we mean by “contracting”. These specifications will have to be complemented by a suitable condition on the space, in the sense that it is “rich” or “complete” enough to contain fixed points for all “contracting” functions. Ball spaces constitute a simple minimal setting in which the necessary conditions on the function and the space can be formulated.
We will now give examples of generic FPTs for ball spaces. More such theorems and related results such as coincidence theorems and so-called attractor theorems are presented in [14, 15, 16, 18]. In the present paper we will not discuss the uniqueness of fixed points; see the cited papers for this aspect. However, an exception will be made in Theorem 2.2, as this will be used later for an interesting comparison with a topological fixed point theorem proven in [32].
For the remainder of this section, we fix a function . We abbreviate by . Further, we call a subset of -closed if . An -closed set will be called -contracting if it satisfies unless it is a singleton. In the search for fixed points, it is a possible strategy to try to find -closed singletons because then the condition implies that . The significance of this idea is particularly visible in the case of Caristi–Kirk and Oettli–Théra ball spaces discussed in Section 5.3.
The proofs of the following seven theorems can be found in Section 3.4.
Theorem 2.1**.**
Assume that the ball space is an S1 ball space.
1) If every -closed subset of contains an -contracting ball, then has a fixed point in each -closed set.
2) If every -closed subset of is an -contracting ball, then has a unique fixed point.
We will now give examples showing how some of the stronger notions of spherical completeness can be employed in general FPTs. In the next theorem, observe how stronger assumptions on the ball space and on allow us to only talk about -closed balls instead of -closed subsets.
Theorem 2.2**.**
Assume that is an S5 ball space and that for every .
1) If every -closed ball contains an -contracting ball, then has a fixed point in each -closed ball.
2) If every -closed ball is -contracting, then has a unique fixed point in each -closed ball. If in addition , then has a unique fixed point.
The next theorem is a variation on the first parts of the previous two theorems.
Theorem 2.3**.**
*Assume that is an S2 ball space. If every ball in contains a fixed point or a smaller ball, then has a fixed point in every ball. *
A condition like “contains a fixed point or a smaller (-closed) ball” may appear a little unusual at first. However, a possible algorithm for finding fixed points should naturally be allowed to stop when it has found one, so from this point of view the condition is quite natural. We also sometimes use a condition like “each -closed ball is a singleton or contains a smaller -closed ball”. This implies “contains a fixed point or a smaller -closed ball” because in an -closed singleton the element must be a fixed point. But this condition is too strong: as we will see below, there are cases where finding a ball with a fixed point is easier and more natural than finding a singleton. One example are partially ordered sets where the balls are taken to be sets of the form . On the other hand, Section 5.3 shows that there are settings in which in a natural way we are led to finding -closed singletons (cf. Proposition 3.9).
The assumptions of these theorems can be slightly relaxed by adapting them to the given function . Instead of talking about the intersections of all nests of balls, we need information only about the intersections of nests of -closed balls. Trivially, if , then also is a ball space, and if is an S1 ball space, then so is . This flexibility of ball spaces appeared already implicitly in Theorem 2.2 where only -closed balls are used; if nonempty, the subset of all -closed balls is also a ball space, and it inherits important properties from the (possibly) larger ball space. Tayloring the assumptions on the ball space to the given function also comes in handy in the following refinement of Theorem 2.2. In its formulation, the condition “spherically complete” does not appear explicitly anymore, but is implicitly present for the ball space that is chosen in dependence on the function .
Theorem 2.4**.**
Assume that for the given function there is a ball space such that
(B1)* each ball in is -closed,*
(B2)* the intersection of every nest of balls in is a singleton or contains a smaller ball .*
Then admits a fixed point in every ball in .
At first glance, certain conditions of these theorems may appear somewhat unusual. But the reader should note that their strength lies in the fact that we can freely choose the ball space. For example, it does not have to be a topology, and in fact, for essentially all of our applications it should not be. This makes it possible to even choose the balls relative to the given function, which leads to results like the theorem above.
When uniqueness of fixed points is not required, then in certain settings (such as ultrametric spaces, see Section 5.1) the condition that a function be “contracting” on all of the space can often be relaxed to the conditions that the function just be “non-expanding” everywhere and “contracting” on orbits. Again, there is some room for relaxation, and this is why we will now introduce the following notion. For each , will denote the -th iteration of , that is, and .
Definition 2.5**.**
The function is called ultimately contracting on orbits if there is a function
[TABLE]
such that for all , the following conditions hold:
(NB) ,
(CO) , and if , then for some .
If in addition (CO) always holds with , then we call contracting on orbits.
Note that (NB) and (CO) imply that for all .
The second assertion of our next theorem will show that instead of asking for general spherical completeness, the scope can be restricted to a particular kind of nests.
Definition 2.6**.**
A nest of balls is called an -nest if for some set that is closed under .
Theorem 2.7**.**
Assume that the function on the ball space is ultimately contracting on orbits and that for every -nest in this ball space there is some such that . Then for every , has a fixed point in .
The following is the ball spaces analogue of the Ultrametric Banach Fixed Point Theorem first proved in [24]. We will use the following condition:
(C1) For all , if , then .
Theorem 2.8**.**
Assume that the function on the ball space is ultimately contracting on orbits and that condition (C1) is satisfied. If is an S1 ball space, then for every , has a fixed point in .
A particularly elegant version of our approach can be given in the case of Caristi–Kirk and Oettli–Théra ball spaces (see Theorems 5.11 and 5.12 in Section 5.3). These ball spaces are used in complete metric spaces. Usually, proofs of fixed point theorems in this setting work with Cauchy sequences, while the use of metric balls is inefficient and complicated. For this reason, a ball spaces approach to metric spaces may seem pointless at first glance. However, it has turned out that ball spaces made up of Caristi–Kirk or Oettli–Théra balls have a particularly strong property (cf. Proposition 3.9), which makes the ball space approach in this case exceptionally successful, as demonstrated in Section 5.3 and the papers [2, 16].
To describe the properties of Caristi–Kirk and Oettli–Théra balls, we introduce the following notions for ball spaces.
Definition 2.9**.**
A ball space is a Bx–ball space if there is a function (2) such that . We call a Bx–ball space normalized if it satisfies condition (NB), and contractive if condition (C1) and the following additional condition are satisfied:
(C2) For all , if is not a singleton, then there exists such that .
A Bx–ball space is strongly contractive if it satisfies (C1) and:
(C2s) For all , if , then .
Note that condition (C2s) implies (C2) as well as that the function (2) is a bijection. In particular, every strongly contractive ball space is contractive. Proposition 5.10 will show that all Caristi–Kirk and Oettli–Théra ball spaces are strongly contractive normalized Bx–ball spaces. Properties of contractive ball spaces are discussed in Section 3.3.
It will turn out that condition (NB), while present in many applications, is not always necessary for our purposes. The next theorem has some similarity with Theorem 2.7, but it does not require the Bx–ball space to be normalized.
Theorem 2.10**.**
If is a spherically complete contractive Bx–ball space and the function satisfies
[TABLE]
then it has a fixed point in every ball .
We note that if is a strongly contractive Bx–ball space and the function satisfies (3), then it also satisfies (CO) (with for all ).
Interestingly, the exceptional strength of the Caristi–Kirk and Oettli–Théra ball spaces is shared by the ball space made up of the final segments on partially ordered sets. It would be worthwhile to find more examples of such strong ball spaces.
The proofs of the above generic fixed point theorems above are based on Zorn’s Lemma. They will be given in Section 3 after first investigating the relation between partially ordered sets and ball spaces. In the present paper we are not interested in avoiding the use of the axiom of choice, nor is it our task to study its equivalence with certain fixed point theorems. For a detailed discussion of the case of Caristi–Kirk and Oettli–Théra ball spaces, see Remark 5.13.
3. Zorn’s Lemma in the context of ball spaces
Consider a poset . By a chain in we mean a nonempty totally ordered subset of . An element is said to be an upper bound of a subset if for all . A poset is said to be inductively ordered if every chain has an upper bound.
Zorn’s Lemma states that every inductively ordered poset contains maximal elements. By restricting the assertion to the set of all elements in the chain and above it, we obtain the following more precise assertion:
Lemma 3.1**.**
In an inductively ordered poset, every chain has an upper bound which is a maximal element in the poset.
Corollary 3.2**.**
In an inductively ordered poset, every element lies below a maximal element.
Definition 3.3**.**
We order ball spaces by reverse inclusion, that is, we set if . In this way we obtain a poset . Now nests of balls in correspond to chains in the poset. A maximal element in the poset is a minimal ball, i.e., a ball that does not contain any smaller ball.
3.1. The case of S2 ball spaces
The proof of the following lemma is straightforward:
Lemma 3.4**.**
The ball space is S2 if and only if every chain in has an upper bound.
From this fact, one easily deduces the following result.
Proposition 3.5**.**
In an S2 ball space, every ball and therefore also the intersection of every nest contains a minimal ball. If in addition every ball is either a singleton or contains a smaller ball, then every ball and therefore also the intersection of every nest contains a singleton ball.
In view of Lemma 3.4 it is important to note that every S1 ball space can easily be extended to an S2 ball space by adding all singleton subsets of : we define
[TABLE]
The proof of the following result is straightforward.
Lemma 3.6**.**
The ball space is S2 if and only if is S.
However, in many situations the point is exactly to prove that a given ball space admits singleton balls. This is in particular the case when we work with ball spaces that are adapted to a given function, as in Theorem 2.4. In such cases, instead of applying Zorn’s Lemma to chains of balls, one can work with chains of nests instead, as we will discuss in Section 3.2.
3.2. Posets of nests of balls
We call a poset chain complete if every chain of elements has a least upper bound (which we also call a supremum). Note that commonly the condition “nonempty” is dropped from the definition of chains, in which case a chain complete poset must have a least element. However, for our purposes it is more convenient to only consider chains as nonempty totally ordered sets.
Lemma 3.7**.**
For every ball space , the set of all nests of balls, ordered by inclusion, is a chain complete poset.
Proof: The union over a chain of nests of balls is again a nest of balls, and it is the smallest nest that contains all nests in the chain. ∎
This shows that in particular every chain of nests that contains a given nest has an upper bound. Hence Zorn’s Lemma shows:
Corollary 3.8**.**
Every nest of balls in a ball space is contained in a maximal nest.
3.3. The case of contractive Bx–ball spaces
In general, a (strongly) contractive Bx–ball space may not contain balls of the form for every , in which case . Hence we cannot apply Lemma 3.6 in order to prove that for such ball spaces, S1 and S2 are equivalent. However, the following proposition provides a “sufficient” amount of singleton balls for this purpose. We also obtain that these singletons satisfy even if is not assumed to be normalized.
Proposition 3.9**.**
In a contractive Bx–ball space, the intersection of a maximal nest of balls, if nonempty, is a singleton ball of the form .
Proof: Let be a maximal nest of balls and assume that for some element . Since for every ball , we obtain from (C1) that for every and thus . This means that is a nest of balls, so by maximality of we have that . Consequently, . Suppose that is not a singleton. Then by condition (C2) there is some element such that whence . But then is a nest which strictly contains . This contradiction to the maximality of shows that is a singleton. Since , we must have that . ∎
Since by Corollary 3.8 every nest is contained in a maximal nest, this proposition yields:
Theorem 3.10**.**
**
1) A contractive Bx–ball space is S1 if and only if it is S.
*2) In a contractive Bx–ball space which is S1 every ball contains a singleton ball of the form . *
3.4. Proofs of the fixed point theorems
Take a ball space and a function . By we will denote the collection of all -closed balls in , provided there exist any. From Corollary 3.8 we infer that every nest in and every nest in is contained in a maximal nest.
Under various conditions on and on or , we have to make sure that the intersections of such nests contain a fixed point for . The proof of the following Lemma is straightforward.
Lemma 3.11**.**
1) If is an -closed set, then since , hence is -closed.
2) The intersection over any collection of -closed sets is again an -closed set.
Proof of Theorem 2.1: Take an S1 ball space . For the proof of part 1) of the theorem, assume that every -closed subset of contains an -contracting ball . We have to prove that has a fixed point in each -closed set .
By assumption, contains an -contracting ball . By definition, is -closed. By Corollary 3.8 there exists a maximal nest in the set of all -closed balls in which contains the nest . Then by part 2) of Lemma 3.11, is an -closed set. By assumption, it contains an -contracting ball . Suppose that is not a singleton. Then properly contains , which by part 1) of Lemma 3.11 is an -closed set. Again by assumption, it contains an -contracting and hence -closed ball . Since , we find that is a larger nest than , which contradicts the maximality of . This proves that is an -closed singleton contained in and thus, contains a fixed point. This proves part 1) of the theorem.
In order to prove part 2), assume that every -closed subset of is an -contracting ball. We have to prove that has a unique fixed point.
Take any fixed points and of . Then the set is -closed, hence by assumption it is -contracting. Since , it must be a singleton, i.e., . ∎
Proof of Theorem 2.2: Assume that is an S5 ball space and that for every . Take an arbitrary -closed ball .
For the proof of part 1) of the theorem, we have to prove, under the assumption that every -closed ball contains an -contracting ball, that contains a fixed point.
By Corollary 3.8 there exists a maximal nest in which contains the nest . By part 2) of Lemma 3.11, is an -closed set. As is assumed to be an S5 ball space, is also a ball, so . Hence by assumption, contains an -contracting ball . If this were not a singleton, then it would contain the smaller ball , which by part 1) of Lemma 3.11 is -closed. This would give rise to the nest that properly contains , contradicting the maximality of . Thus, is an -closed singleton contained in and therefore, contains a fixed point.
For the proof of part 2) of the theorem, we assume that every -closed ball is -contracting; now we have to prove that contains a fixed point.
Using transfinite induction, we build a nest consisting of -closed balls as follows. We set . Having constructed for some ordinal with smallest -closed ball , we set and . By part 1) of Lemma 3.11, also is -closed, and by assumption, it is again a ball.
If is a limit ordinal and we have constructed for all , we observe that the union over all is a nest . We set and . Since is an S5 ball space, we know that , and by part 2) of Lemma 3.11, is -closed.
The construction becomes stationary when we reach an -closed ball that does not properly contain . By assumption, is -contracting, so this means that is a singleton . As it is -closed, is a fixed point contained in .
If , then which means that there is some such that , but . This shows that cannot be a fixed point of . Therefore, is the unique fixed point of in .
The second assertion of part 2), which states that if every -closed ball is -contracting and , then has a unique fixed point, is an immediate consequence of the first assertion of part 2), because is clearly -closed. ∎
Proof of Theorem 2.3: Assume that is an S2 ball space and that every ball in contains a fixed point or a smaller ball. We have to prove that has a fixed point in every ball.
Take any ball . By Proposition 3.5, contains a minimal ball . As cannot contain a smaller ball, it must contain a fixed point by assumption, which then is also an element of . ∎
Proof of Theorem 2.4: Assume that is a ball space of -closed balls and that the intersection of every nest of balls in is a singleton or contains a smaller ball . We have to prove that has a fixed point in every ball .
Take a maximal nest in which contains the nest . The intersection cannot contain a smaller ball since this would contradict the maximality of . Hence by assumption, must be a singleton. As it is also -closed by part 2) of Lemma 3.11 and contained in , we have proved that has a fixed point in . ∎
For the next two proofs we will use the following fact.
Lemma 3.12**.**
Take a function on a ball space .
1) Every -nest in is contained in a maximal -nest.
2) Assume that is ultimately contracting on orbits. Assume further that is a maximal -nest in containing a ball , and that such that . Then is a fixed point of contained in .
Proof:
-
The set of all -nests is partially ordered in the following way. If and are -nests with and closed under , then we define if . Then the union over an ascending chain of -nests is again an -nest since the union over sets that are closed under is again closed under . Hence by Corollary 3.2, for every -nest in there is a maximal -nest containing .
-
If would hold, then by (CO), for some , and the -nest would properly contain . But this would contradict the maximality of . Hence, is a fixed point of . ∎
Proof of Theorem 2.7: Take a function on a ball space which is ultimately contracting on orbits and assume that for every -nest in there is some such that . We have to prove that or every , has a fixed point in .
The set is an -nest. Hence by part 1) of Lemma 3.12 there is a maximal -nest containing . By assumption, there is some such that . By part 2) of Lemma 3.12, is a fixed point of contained in . ∎
Proof of Theorem 2.8: Assume that the function on the S1 ball space is ultimately contracting on orbits and that condition (C1) is satisfied, that is, for all , if , then . We have to prove that or every , has a fixed point in .
By part 1) of Lemma 3.12 there exists a maximal -nest containing the -nest . Since is assumed to be an S1 ball space, there is some . Hence for every in we have that , whence by condition (C1). Consequently, . By part 2) of Lemma 3.12, is a fixed point of contained in .
Proof of Theorem 2.10: Take a spherically complete contractive Bx–ball space and a function such that for all . We have to prove that has a fixed point in every ball.
By part 2) of Theorem 3.10, every ball contains a singleton ball of the form . Since , we find that is a fixed point of which is contained in .
4. Some facts about the hierarchy of ball spaces
4.1. Connection with posets
In this section we will consider properties of the poset that we derive from a ball space via Definition 3.3, i.e., through ordering by reverse inclusion.
A directed system in a poset is a nonempty subset which contains an upper bound for any two of its elements. A poset is called directed complete if every directed system has a least upper bound. Note that commonly the condition “nonempty” is dropped; but for our purposes it is more convenient to only consider nonempty systems (cf. our remark in Section 3.2). As every chain is a directed system, every directed complete poset is chain complete.
The proof of the following observations is straightforward:
Proposition 4.1**.**
1) A ball space is S2 if and only if is inductively ordered.
2) A ball space is S if and only if every directed system in has an upper bound.
3) A ball space is S4 if and only if is chain complete.
4) A ball space is S if and only if is directed complete.
Let us point out that the intersection of a system of balls may not be itself a ball, even if it is nonempty (but if it is a ball, then it is clearly the largest ball contained in all of the balls in the system). For this reason, in general, the properties S, S, S5 and S cannot be translated into a corresponding property of . This shows that ball spaces have more expressive strength than the associated poset structures.
A proof of the following fact can be found in [5, p. 33]. See also [20] for generalizations.
Proposition 4.2**.**
Every chain complete poset is directed complete.
This proposition together with Proposition 4.1 yields:
Corollary 4.3**.**
Every S4 ball space is an S ball space.
In the next sections, we will give further criteria for the equivalence of various properties in the hierarchy.
4.2. Singleton balls
In many applications (e.g. metric spaces with all closed metric balls, ultrametric spaces, T1 topological spaces) the associated ball spaces have the property that singleton sets are balls. The following observation is straightforward:
Proposition 4.4**.**
For a ball space in which all singleton sets are balls, S1 is equivalent to S, S is equivalent to S, and S is equivalent to S.
4.3. Tree-like ball spaces
We will call a ball space tree-like if any two balls in with nonempty intersection are comparable by inclusion. We will see in Section 5.1 (Proposition 5.1) that the ball spaces associated with classical ultrametric spaces are tree-like.
Proposition 4.5**.**
In a tree-like ball space, every centered system of balls is a nest. For such a ball space, S, S and S are equivalent, for each . If in addition, in this ball space all singleton sets are balls, then S1 is equivalent to S.
Proof: The first assertion follows from the fact that in a tree-like ball space, every two balls in a centered system have nonempty intersection and therefore are comparable by inclusion, so the system is a nest. From this, the second assertion follows immediately. The third assertion follows by way of Proposition 4.4. ∎
4.4. Intersection closed ball spaces
A ball space will be called finitely intersection closed if is closed under nonempty intersections of any finite collection of balls, chain intersection closed or nest intersection closed if is closed under nonempty intersections of nests of balls, and intersection closed if is closed under nonempty intersections of arbitrary collections of balls.
We will deduce the following result from Proposition 4.5:
Proposition 4.6**.**
Every chain intersection closed tree-like ball space is intersection closed.
Proof: Every collection of balls with nonempty intersection in an arbitrary ball space is a centered system. If the ball space is tree-like, then by Proposition 4.5, is a nest. If in addition the ball space is chain intersection closed, then the intersection is a ball. Hence under the assumptions of the proposition, the ball space is intersection closed. ∎
The proofs of the following two propositions are straightforward:
Proposition 4.7**.**
Assume that the ball space is finitely intersection closed. Then by closing under finite intersections, every centered system of balls can be expanded to a directed system of balls which has the same intersection. Hence for a finitely intersection closed ball space, S is equivalent to S, for .
Proposition 4.8**.**
For chain intersection closed ball spaces, the properties S, S, S, S and S5 are equivalent.
As can be expected, the intersection closed ball spaces are the strongest when it comes to equivalence of the properties in the hierarchy.
Theorem 4.9**.**
For an intersection closed ball space, S1 is equivalent to S∗, so all properties in the hierarchy (1) are equivalent.
Proof: Since is intersection closed, it is in particular chain intersection closed, hence by Proposition 4.8, S1 implies S. By Corollary 4.3, S4 implies S. Since is intersection closed, Proposition 4.7 shows that S implies S. Again since is intersection closed, the intersection over every directed system of balls, if nonempty, is a ball; hence S implies S. Altogether, we have shown that S1 implies S, which shows that all properties in the hierarchy (1) are equivalent. ∎
Proposition 4.10**.**
Every S∗ ball space is intersection closed.
Proof: Take any collection of balls with nonempty intersection. Each element in the intersection lies in every ball, so the collection is a centered system. By assumption, the intersection is again a ball. ∎
In a poset, a set of elements is bounded if and only if it has an upper bound. A poset is bounded complete if every nonempty bounded set has a least upper bound. A bounded system of balls is a nonempty collection of balls whose intersection contains a ball. Note that a bounded system of balls is a centered system, but the converse is in general not true (not even a nest of balls is necessarily a bounded system if the ball space is not S2).
The proof of the next lemma is straightforward.
Lemma 4.11**.**
The poset is bounded complete if and only if the intersection of every bounded system of balls in contains a largest ball. In an intersection closed ball space, the intersection of every bounded system of balls is a ball.
4.5. Overview of conditions for equivalences in the hierarchy
The following table will give an overview of conditions for equivalences in the hierarchy (1) as presented in the previous sections.
[TABLE]
5. Ball spaces and their properties in various applications
In what follows, we will give the interpretation of various levels of spherical completeness in our applications of ball spaces. At this point, let us define a notion that we will need repeatedly. In a (totally or partially) ordered set a subset is a final segment if for all , implies ; similarly, is an initial segment if for all , implies .
5.1. Ultrametric spaces
For background on ultrametric spaces see [13, 24, 25, 26, 27, 28, 29]. An ultrametric on a set is a function from to a partially ordered set with smallest element [math], such that for all and all ,
(U1) if and only if ,
(U2) if and , then ,
(U3) (symmetry).
The pair is called an ultrametric space. Condition (U2) is the ultrametric triangle law.
We set and call it the value set of . If is totally ordered, we will call a classical ultrametric space; in this case, (U2) is equivalent to:
(UT) .
We will now introduce three ways of deriving a ball space from an ultrametric space. A closed ultrametric ball is a set
[TABLE]
where and . We obtain the ultrametric ball space from by taking to be the set of all such balls .
It follows from symmetry and the ultrametric triangle law that every element in a ball is a center, meaning that
[TABLE]
Further,
[TABLE]
A problem with the ball can be that it may not contain any element such that ; if it does, it is called precise. It is therefore convenient to work with the precise balls of the form
[TABLE]
where . We obtain the precise ultrametric ball space from by taking to be the set of all such balls .
It follows from symmetry and the ultrametric triangle law that
[TABLE]
and that
[TABLE]
In particular,
[TABLE]
More generally,
[TABLE]
Two elements and of are comparable if or . Hence if and are comparable, then or . If , then in addition, . We note:
[TABLE]
In classical ultrametric spaces every two values are comparable. Hence in this case one can derive from (4) and (5) that every two ultrametric balls with nonempty intersection are comparable by inclusion.
From (5), we derive:
Proposition 5.1**.**
In a classical ultrametric space , any two balls with nonempty intersection are comparable by inclusion. Hence and are tree-like ball spaces.
We define to be spherically complete if its ultrametric ball space is spherically complete, i.e., an S1 ball space. For this definition, it actually makes no difference whether we work with or :
Proposition 5.2**.**
The classical ultrametric ball space is spherically complete if and only if the precise ultrametric ball space is.
Proof: Since , the implication “” is clear. Now take a nest of balls in . We may assume that it does not contain a smallest ball since otherwise this ball equals the intersection over the nest, which consequently is nonempty. Further, there is a coinitial subnest such that is an infinite limit ordinal and implies that . It follows that this subnest has the same intersection as .
For every , also and thus . Hence there is . It follows that
[TABLE]
and from (5) we obtain that
[TABLE]
Since , we know from (8) that
[TABLE]
It follows that
[TABLE]
Consequently, if is S, then this intersection is nonempty and we have proved that also is S. ∎
Since contains the smallest element , contains all singletons . Therefore, each ultrametric ball space is already S2 once it is S. The same is true for the precise ultrametric ball space in place of . However, these ball spaces will in general not be S, S4 or S5 because even if an intersection of a nest is nonempty, it will not necessarily be a ball of the form or , respectively.
In a classical ultrametric space, every two balls are comparable by inclusion once they have nonempty intersection. Therefore, every centered system is already a nest of balls. This shows:
Proposition 5.3**.**
A classical ultrametric space is spherically complete if and only if the ball space (or equivalently, ) is an S ball space.
If is a classical ultrametric space, then we can obtain stronger completeness properties if we work with a larger set of ultrametric balls. Given and an initial segment of , we define:
[TABLE]
Setting
[TABLE]
we obtain what we will call the full ultrametric ball space . Note that . We leave it to the reader to prove:
[TABLE]
where means that for all , and the intersection over an empty index set is taken to be . We note that the inclusion on the right hand side is proper if and only if has no largest element but admits a supremum in and there is such that . Indeed, if , then is the open ultrametric ball
[TABLE]
which is a proper subset of if and only if is precise.
We have that
[TABLE]
where the second inclusion holds because for the initial segment of . We have an easy generalization of (8):
[TABLE]
The following results are proven in [12]:
Theorem 5.4**.**
Let be a classical ultrametric space. Then the following assertions hold.
1) The intersection over every nest of balls in is equal to the intersection over a nest of balls in and therefore, is chain intersection closed.
2) The ball space is an S1 ball space if and only if is.
3) The ball space is tree-like and intersection closed. If is an S1 ball space, then is an S∗ ball space.
By [11, Theorem 1.2], assertions 1) and 2) of Theorem 5.4 also hold for all ultrametric spaces with countable narrow value sets ; the condition narrow means that all sets of mutually incomparable elements in are finite. On the other hand, it is shown in [11] that the condition “narrow” cannot be dropped in this case. It is however an open question whether the condition “countable” can be dropped.
A large number of ultrametric fixed point and coincidence point theorems have been proven by S. Prieß-Crampe and P. Ribenboim (see e.g. [24, 25, 26, 27, 29]). Using ball spaces, some of them have been reproven and new ones have been proven in [14, 15, 18].
5.2. Metric spaces with metric balls
In metric spaces we can consider the closed metric balls
[TABLE]
for and . We set
[TABLE]
The following theorem will be deduced from Theorem 5.6 below:
Theorem 5.5**.**
If the ball space is spherically complete, then is complete.
The converse is not true. Consider a rational function field together with the -adic valuation . Choose an extension of to a valuation of the algebraic closure of . Then the value group is . An ultrametric in the sense of Section 5.1 is obtained by setting, for instance,
[TABLE]
Take to be the completion of . It can be shown that the balls
[TABLE]
have empty intersection in . Hence is not spherically complete, that is, the ultrametric ball space induced by on is not spherically complete. But this ultrametric is a complete metric.
Note that from Theorem 5.19 below it follows that the ball space is spherically complete if every closed metric ball in is compact under the topology induced by , as the closed metric balls are closed in this topology.
In order to characterize complete metric spaces by spherical completeness, we have to choose smaller induced ball spaces. For any subset of the set of positive real numbers, we define:
[TABLE]
Theorem 5.6**.**
The following assertions are equivalent:
a) is complete,
b) the ball space is spherically complete for some which admits [math] as its only accumulation point,
c) the ball space is spherically complete for every which admits [math] as its only accumulation point.
Proof: a) c): Assume that is complete and take a set which admits [math] as its only accumulation point. This implies that is discretely ordered, hence every infinite descending chain in with a maximal element can be indexed by the natural numbers.
Take any nest of closed metric balls in . If the nest contains a smallest ball, then its intersection is nonempty; so we assume that it does not. If , then is a nest of balls with ; therefore, we may assume from the start that contains a largest ball. Then the radii of the balls in form an infinite descending chain in with a maximal element, and 0 is their unique accumulation point. Hence we can write with for , and with .
For every and all , the element lies in and therefore satisfies . This shows that is a Cauchy sequence. Since is complete, it has a limit in . We have that , so lies in every ball . This proves that the nest has nonempty intersection.
c) b): Trivial.
b) a): Assume that is spherically complete. Take any Cauchy sequence in . By our assumptions on , we can choose a sequence in such that . Now we will use induction on to choose an increasing sequence of natural numbers such that the balls form a nest.
Since is a Cauchy sequence, we have that there is such that for all . Once we have chosen , we choose such that for all . We show that the so obtained balls form a nest. Take and . This means that . Since , we have that . We compute:
[TABLE]
Thus and hence for all . The intersection of this nest contains some , by our assumption. We have that for all , which means that . Since
[TABLE]
we obtain that
[TABLE]
which proves that is a complete metric space. ∎
Proof of Theorem 5.5: Assume that is spherically complete. Then so is for every nonempty . Taking with as in Theorem 5.6, we obtain that is complete. ∎
Remark 5.7**.**
Theorems 5.5 and 5.6 remain true if instead of the closed metric balls the open metric balls
[TABLE]
are used for the metric ball space.
5.3. Metric spaces with Caristi–Kirk balls and Oettli–Théra balls
Consider a metric space . A function is lower semicontinuous if for every ,
[TABLE]
If is lower semicontinuous and bounded from below, we call it a Caristi–Kirk function on . For a fixed Caristi–Kirk function we consider Caristi–Kirk balls of the form
[TABLE]
and the corresponding Caristi–Kirk ball space given by
[TABLE]
These ball spaces and their underlying theory can be employed to prove the Caristi–Kirk Theorem in a simple manner (see below). We found the sets that we call Caristi–Kirk balls in a proof of the Caristi–Kirk Theorem given by J.-P. Penot in [22].
We say that a function is an Oettli–Théra function on if it satisfies the following conditions:
[TABLE]
This notion was, to our knowledge, first introduced by Oettli and Théra in [21]. An Oettli–Théra function yields balls of the form
[TABLE]
which will be called Oettli–Théra balls. If an element satisfies condition above, then we will call it an Oettli–Théra element for in . For a fixed Oettli–Théra element we define the associated Oettli–Théra ball space to be , where
[TABLE]
We observe that for a given Caristi–Kirk function , the mapping
[TABLE]
is an Oettli–Théra function. Furthermore, every Caristi–Kirk ball is also an Oettli–Théra ball.
In general the balls defined above are not metric balls. However, when working in complete metric spaces they prove to be a more useful tool than metric balls. As observed in the previous section, the completeness of a metric space need not imply spherical completeness of the space of metric balls . In the case of Caristi–Kirk and Oettli–Théra balls, completeness turns out to be equivalent to spherical completeness, as shown in the following two propositions.
Proposition 5.8**.**
Let be a metric space. Then the following assertions are equivalent:
a) The metric space is complete.
b) Every Caristi–Kirk ball space is spherically complete.
c) For every continuous function bounded from below, the Caristi–Kirk ball space is spherically complete.
Proposition 5.9**.**
A metric space is complete if and only if the Oettli–Théra ball space is spherically complete for every Oettli–Théra function on and every Oettli–Théra element for in .
The proofs of Proposition 5.8 and Proposition 5.9 can be found in [16, Proposition 3] and in [2], respectively.
The easy proof of the next proposition is provided in [2].
Proposition 5.10**.**
Every Caristi–Kirk ball space and every Oettli–Théra ball space is a strongly contractive normalized Bx–ball space.
We will meet another strongly contractive ball space in the case of partially ordered sets; see Proposition 5.30.
The following is the Caristi–Kirk Fixed Point Theorem:
Theorem 5.11**.**
Take a complete metric space and a lower semicontinuous function which is bounded from below. If a function satisfies the Caristi condition
[TABLE]
for all , then has a fixed point on .
Also in [2], the same tools (with Proposition 5.8 replaced by Proposition 5.9) are used to prove the following generalization:
Theorem 5.12**.**
Take a complete metric space and an Oettli-Théra function on . If a function satisfies
[TABLE]
for all , then has a fixed point on .
The conditions (13) and (14) guarantee that for every or , respectively. Hence Theorem 2.10 in conjunction with Propositions 5.8, 5.9 and 5.10 proves Theorems 5.11 and 5.12. Similar proofs were given in [2] (see also [16]). Note that conditions (13) and (14) do not necessarily imply that every ball is -closed.
A variant of part 2) of Theorem 3.10 is used in [2] to give quick proofs of several theorems that are known to be equivalent to the Caristi–Kirk Fixed Point Theorem (see [21, 22, 23] for presentations of these equivalent results and generalizations).
Remark 5.13**.**
Assume that is a contractive Bx–ball space. Then we can define a partial ordering on by setting
[TABLE]
If is strongly contractive, then the function is injective, and together with the reverse of the partial order we have defined is order isomorphic to with inclusion, that is, the function is an order isomorphism from onto where the latter is defined as in the beginning of Section 3.
If the are the Caristi–Kirk balls defined in (12), then we have that
[TABLE]
which means that is the Brønsted ordering on . The Ekeland Variational Principle (cf. [2]) states that if the metric space is complete, then admits maximal elements, or in other words, admits minimal balls. The Brønsted ordering has been used in several different proofs of the Caristi–Kirk Fixed Point Theorem. However, at least in the proofs that also define and use the Caristi–Kirk balls (such as the one of Penot in [22]), it makes more sense to use directly their natural partial ordering (as done in [16]). But the main incentive to use the balls instead of the ordering is that it naturally subsumes the metric case in the framework of fixed point theorems in several other areas of mathematics which is provided by the general theory of ball spaces as laid out in the present paper (see also [14, 15, 18]).
It has been shown that the Ekeland Variational Principle can be proven in the Zermelo Fraenkel axiom system ZF plus the axiom of dependent choice DC which covers the usual mathematical induction (but not transfinite induction, which is equivalent to the full axiom of choice). Conversely, it has been shown in [4] that the Ekeland Variational Principle implies the axiom of dependent choice.
Several proofs have been provided for the Caristi–Kirk FPT that work in ZF+DC. Kozlowski has given a proof that is purely metric as defined in his paper [10], which implies that the proof works in ZF+DC. The proofs of Proposition 5.8 in [16] and of Proposition 5.9 in [2] are purely metric. The existence of singleton balls in Caristi–Kirk and Oettli-Théra ball spaces over complete metric spaces can also be shown directly by purely metric proofs and this result can be used to give quick proofs of many principles that are equivalent to the Caristi–Kirk FPT in ZF+DC (cf. [2]). However, in other settings it may not be possible to deduce the existence in ZF+DC, so then the axiom of choice is needed. Therefore, in view of the number of possible applications even beyond the scope as presented in this paper, we do not hesitate to use Zorn’s Lemma for the proofs of our generic fixed point theorems.
We should point out that proofs have been given that apparently prove the Caristi–Kirk FPT in ZF (see [19, 8]). This means that the Caristi–Kirk FPT and the Ekeland Variational Principle are equivalent in ZF+DC, but not in ZF. For the topic of axiomatic strength, see the discussions in [7, 9, 10].
5.4. Totally ordered sets, abelian groups and fields
Take any ordered set . We define the closed interval ball space associated with to be where consists of all closed intervals with . By a cut in we mean a partition of such that for all , and are nonempty. The cofinality of a totally ordered set is the least cardinality of all cofinal subsets, and the coinitiality of a totally ordered set is the cofinality of this set under the reverse ordering. A cut is asymmetric if the cofinality of is different from the coinitiality of . For example, every cut in is asymmetric. The following fact was first proved in [31] for ordered fields, and then in [17] for any totally ordered sets.
Lemma 5.14**.**
The ball space associated with the totally ordered set is spherically complete if and only if every cut in is asymmetric.
Totally ordered sets, abelian groups or fields whose cuts are all asymmetric are called symmetrically complete. By our above remark, is symmetrically complete. The following theorem was proved in [17]; its first assertion follows from the previous lemma. The second assertion addresses the natural valuation of an ordered abelian group or field, which is the finest valuation compatible with the ordering; it is nontrivial if and only if the ordering is nonarchimedean.
Theorem 5.15**.**
A totally ordered set, abelian group or field is symmetrically complete if and only if its associated closed interval ball space is spherically complete. The ultrametric ball space associated with the natural valuation of a symmetrically complete ordered abelian group or field is a spherically complete ball space.
In [31] it was shown that arbitrarily large symmetrically complete ordered fields exist. With a different construction idea, this was reproved and generalized in [17] to the case of ordered abelian groups and totally ordered sets, and a characterization of symmetrically complete ordered abelian groups and fields has been given.
In order to give an example of a fixed point theorem that can be proven in this setting, it is enough to consider symmetrically complete ordered abelian groups, as the additive group of a symmetrically complete ordered field is a symmetrically complete ordered abelian group. The following is Theorem 21 of [14] (see also [17]).
Theorem 5.16**.**
Take an ordered abelian group and a function . Assume that every nonempty chain of closed intervals in has nonempty intersection and that has the following properties:
1) is nonexpanding:
[TABLE]
2) is contracting on orbits: there is a positive rational number with such that
[TABLE]
Then has a fixed point.
As in the case of ultrametric spaces, all singletons in are balls: . So also here, is S2 as soon as it is S. But again as in the case of ultrametric spaces, S2 does not necessarily imply S5 or even S. For example, consider a nonarchimedean ordered symmetrically complete field. The set of infinitesimals is the intersection of balls where runs through all positive elements that are not infinitesimals. This intersection is not a ball, nor is there a largest ball contained in it.
Further, we note:
Lemma 5.17**.**
Assume that is a totally ordered set and its associated ball space is an S or S3 ball space. Then is cut complete, that is, for every cut in , has a largest or has a smallest element.
Proof: First assume that is an S ball space, and take a cut in . If and , then and and . This shows that
[TABLE]
is a directed system in . Hence its intersection is nonempty; if is contained in this intersetion, it must be the largest element of or the least element of . Hence is cut complete.
Now assume that is not cut complete; we wish to show that is not an S3 ball space. Take a cut in such that has no largest element and has no least element. Pick some . Then
[TABLE]
is a nest of balls in . Its intersection is the set . Since has no largest element, this set does not contain a maximal ball. This shows that is not an S3 ball space. ∎
It is a well known fact that the only cut complete densely ordered abelian group or ordered field is . So we have:
Proposition 5.18**.**
The associated ball space of the reals is S. For all other densely ordered abelian groups and ordered fields the associated ball space can at best be S.
Proof: Take any centered system of intervals in . We set and . Then
[TABLE]
We have to show that , i.e., . Suppose that . Then there are such that . But by assumption, , a contradiction. We have now proved that the associated ball space of the reals is S.
The second assertion follows from Lemma 5.17. ∎
5.5. Topological spaces
If is a topological space on a set , then we will take its associated ball space to be where consists of all nonempty closed sets. Since the intersections of arbitrary collections of closed sets are again closed, this ball space is intersection closed.
The following theorem shows how compact topological spaces are characterized by the properties of their associated ball spaces; note that we use “compact” in the sense of “quasi-compact”, that is, it does not imply the topology being Hausdorff.
Theorem 5.19**.**
The following are equivalent for a topological space :
a) is compact,
b) the nonempty closed sets in form an S1 ball space,
c) the nonempty closed sets in form an S∗ ball space.
Proof: a) b): Assume that is compact. Take a nest of balls in and suppose that . Then , so is an open cover of . It follows that there are such that , whence . But since the form a nest, this intersection equals the smallest of the , which is nonempty. This contradiction proves that the nonempty closed sets in form an S1 ball space.
b) c): This follows from Theorem 4.9.
c) a): Assume that the nonempty closed sets in form an S∗ ball space. Take an open cover , , of . Since , we have that . As the ball space is S∗, this means that cannot be a centered system. Consequently, there are such that , whence . ∎
Some of the assertions of the following topological fixed point theorems were already proven in [14, Theorem 11]. We will give their modified and improved proofs here as they illustrate applications of Theorems 2.7 and 2.2.
Theorem 5.20**.**
*Take a compact space and a closed function . Assume that for every with there is a closed subset of such that and . Then has a fixed point in . *
Proof: For every we consider the following family of balls:
[TABLE]
Note that is nonempty because it contains . We define
[TABLE]
We see that and that by part 2) of Lemma 3.11. Further, is closed, being the intersection of closed sets. This shows that is the smallest member of .
For every we have that and therefore, . Hence we find that .
Assume that . Then by hypothesis, there is a closed set in such that and . Since is a closed function, is closed. Moreover, and , so . Since , we conclude that , whence . We have proved that is contracting on orbits. Our theorem now follows from Theorem 2.7 in conjunction with Theorem 5.19. ∎
Note that if satisfies the assumptions of the theorem, then . Hence the set defined in (15) satisfies , and therefore . This shows that is the smallest of all closed subsets of for which and .
An interesting interpretation of the ball defined in (15) will be given in Remark 6.3 below.
The next theorem follows immediately from part 1) of Theorem 2.2 in conjunction with Theorem 5.19.
Theorem 5.21**.**
Take a compact space and a closed function .
1) If every nonempty closed and -closed subset of contains a closed -contracting subset, then has a fixed point in .
2) If every nonempty closed and -closed subset of is -contracting, then has a unique fixed point in .
The condition that every -closed ball is -contracting may appear to be quite strong. Yet there is a natural example in the setting of topological spaces where this condition is satisfied in a suitable collection of closed sets. In [32], Steprans, Watson and Just define the notion of “-contraction” for a continuous function on a topological space as follows. An open cover of is called -contractive for if for every there is such that the image of the closure of under is a subset of . Then is called a -contraction if any open cover has a -contractive refinement for . We will use two important facts about -contractions on a connected compact Hausdorff space which the authors prove in the cited paper:
- (J1)
If is a closed subset of with , then the restriction of to is also a -contraction ([32, Proposition 1, p. 552]); 2. (J2)
If is onto, then = 1 ([32, Proposition 4, p. 554]).
The following is Theorem 4 of [32]:
Theorem 5.22**.**
Take a connected compact Hausdorff space and a continuous -contraction . Then has a unique fixed point.
We will deduce our theorem from Theorem 2.2. We take to be the set of all nonempty closed connected subsets of ; in particular, . Take any . As is a continuous function on the compact Hausdorff space , it is a closed function, so is closed. Since is connected and is continuous, is also connected. Hence .
Further, the intersection of any chain of closed connected subsets of is closed and connected. This shows that is chain intersection closed. By Theorem 5.19 the ball space consisting of all nonempty closed subsets of the compact space is S∗. As it contains , is S1 and it follows from Proposition 4.8 that is an S5 ball space.
Finally, we have to show that every -closed ball is -contracting. As is closed in , it is also compact Hausdorff, and it is connected as it is a ball in . By (J1), the restriction of to is also a -contraction. Therefore, we can replace by and apply (J2) to find that if is onto, then is a singleton; this shows that is -contracting. Now Theorem 5.22 follows from part 2) of Theorem 2.2 as desired.
It should be noted that -contractions appear in a natural way in the metric setting. The following is the content of Theorems 2 and 3 of [32]:
Theorem 5.23**.**
Any contraction on a compact metric space is a -contraction. Conversely, if is a -contraction on a connected compact metrizable space , then admits a metric under which is a contraction.
5.6. Partially ordered sets
Take any nonempty partially ordered set . We will associate with it two different ball spaces; first, the ball space of principal final segments, and then later the segment ball space.
A principal final segment is a set with . Then the ball space of principal final segments is where . The following proposition gives the interpretation of spherical completeness for this ball space; we leave its straightforward proof to the reader.
Proposition 5.24**.**
The following assertions are equivalent:
a) the poset is inductively ordered,
b) the ball space is an S1 ball space,
c) is an S2 ball space.
We also leave it to the reader to show that is an S3 (or S or S) ball space if and only if every chain (or directed system, or centered system, respectively) has minimal upper bounds.
If is a subset of , then will denote its supremum, if it exists. We will need the following fact, whose proof we again leave to the reader.
Lemma 5.25**.**
The equality
[TABLE]
holds if and only if . Further, is the (possibly empty) set of all upper bounds for .
An element in a poset is called top element if for all elements in the poset, and bottom element if for all elements in the poset. A top element is commonly denoted by , and a bottom element by . A poset is an upper semilattice if every two elements in have a supremum, and a complete upper semilattice if every nonempty set of elements in has a supremum.
Proposition 5.26**.**
1) is finitely intersection closed if and only if every nonempty finite bounded subset of has a supremum.
2) is intersection closed if and only if every nonempty bounded subset of has a supremum, i.e., is bounded complete.
3) If has a top element, then is an upper semilattice if and only if is finitely intersection closed,
4) is a complete upper semilattice if and only if has a top element and is intersection closed.
Proof: 1), 2): Assume that is (finitely) intersection closed and take a nonempty (finite) subset of . If this set is bounded, then is nonempty, and thus by assumption it is equal to for some . By Lemma 5.25, this implies that , showing that has a supremum.
Now assume that every nonempty (finite) bounded subset of has a supremum. Take a nonempty (finite) set of balls in with nonempty intersection. Take . Then is an upper bound of . By assumption, there exists in . Again by Lemma 5.25, this implies that . Hence, is (finitely) intersection closed.
- and 4) follow from 1) and 2), respectively, because if has a top element, then every nonempty subset is bounded. ∎
We add to our hierarchy (1) an even stronger property: we say that the ball space is an S∗∗** ball space if is closed under arbitrary intersections; in particular, this implies that intersections of arbitrary collections of balls are nonempty. Every S∗∗** ball space is an S∗ ball space. Note that every complete upper semilattice has a top element.
Proposition 5.27**.**
1) Assume that has a top element . Then every intersection of balls in contains the ball , and is an S ball space. Moreover, is an S∗ ball space if and only if it is an S∗∗* ball space.*
2) is an S∗∗* ball space if and only if has a top element and is intersection closed.*
3) is a complete upper semilattice if and only if is an S∗∗* ball space.*
Proof: 1): The first two statements are obvious. If has a top element, then every collection of balls in is a centered system. Hence if is an S∗ ball space, then it is an S∗∗** ball space.
2): Assume that is an S∗∗** ball space. Then it follows directly from the definition that it is intersection closed. Further, the intersection over is a ball . By Lemma 5.25, is the supremum of and thus a top element.
Now assume that has a top element and is intersection closed, and take an arbitrary collection of balls in . As all of the balls contain , their intersection is nonempty, and hence by our assumption, it is a ball.
3): This follows from part 2) of our proposition together with part 4) of Proposition 5.26. ∎
Now we can characterize chain complete and directed complete posets by properties from our hierarchy:
Theorem 5.28**.**
Take a poset . Then the following are equivalent:
a) is chain complete,
b) is directed complete,
c) is an S5 ball space,
d) is an S ball space.
If every nonempty finite bounded subset of has a supremum, then the above properties are also equivalent to
e) is an S∗ ball space.
Proof: The equivalence of assertions a) and b) follows from Proposition 4.2.
b) d): Assume that is directed complete and take a directed system in . Then also is a directed system in . By our assumption on it follows that has a supremum in . By Lemma 5.25, , which shows that the intersection of is a ball.
d) c) holds by the general properties of the hierarchy.
c) a): Take a chain in . Since is an S5 ball space, the intersection of the nest is a ball . It follows by Lemma 5.25 that is the supremum of the chain, which proves that is chain complete.
If every nonempty finite bounded subset of has a supremum, then by part 1) of Proposition 5.26, is finitely intersection closed, hence by Proposition 4.7, properties S and S∗ are equivalent. ∎
Remark 5.29**.**
Note that we define chains to be nonempty totally ordered sets and similarly, consider directed systems to be nonempty. If we drop this convention, then the theorem remains true if we require in c) and d) that has a least element.
The ball space shares an important property with Caristi–Kirk and Oettli–Théra ball spaces, as shown by the next proposition, whose straightforward proof we omit.
Proposition 5.30**.**
The ball space is a normalized strongly contractive Bx-ball space, where
[TABLE]
A function on a poset is increasing if for all . The following result is an immediate consequence of Zorn’s Lemma, but can also be seen as a corollary to Propositions 5.24 and 5.30 together with Theorem 2.10:
Theorem 5.31**.**
Every increasing function on an inductively ordered poset has a fixed point.
Note that this theorem implies the Bourbaki-Witt Theorem (see [3, 34] or the short description on Wikipedia), which differs from it by assuming that every chain in even has a supremum.
A function on a poset is called order preserving if implies . The following result is an easy consequence of Theorem 5.31:
Theorem 5.32**.**
Take an order preserving function on a nonempty poset which contains at least one such that (in particular, this holds when has a bottom element). Assume that is chain complete. Then has a fixed point.
Proof: Take . Then also is chain complete. Indeed, if is a chain in , hence also in , then it has a supremum by assumption. Since and is order preserving, we have that for all , so is also an upper bound for . Therefore, since is the supremum of the chain, showing that .
Further, is closed under , because if , then , hence since is assumed to be order preserving; this shows that Now the existence of a fixed point follows from Theorem 5.31. ∎
The second ball space we associate with posets will be particularly useful for the study of lattices. We define the principal segment ball space of the poset by taking to contain all principal segments (which may also be called “closed convex subsets”), that is, the closed intervals for with , the principal initial and final segments and for , and itself. Note that all of these sets are of the form if and only if has a top element and a bottom element . Even if does not have these elements, we will still use the notation for and for . Hence,
[TABLE]
If (as is the case for complete lattices), this is a generalization to posets of the closed interval ball space that we defined for linearly ordered sets. We will thus also talk again of “closed intervals” .
A greatest lower bound of a subset of will also be called its infimum. If is a subset of , then will denote its infimum, if it exists.
Lemma 5.33**.**
Take subsets and of T such that for all . If and exist, then and
[TABLE]
Proof: We can write
[TABLE]
Applying Lemma 5.25, we obtain that , and applying it to with the reverse order, we obtain that . Hence the above intersection is equal to , which we will now show to be nonempty.
By the assumption of our lemma, every is an upper bound of the set . Since is the least upper bound of this set, we find that for all . As is the greatest lower bound of the set , it follows that . ∎
5.7. Lattices
A lattice is a poset in which every two elements have a supremum and an infimum (greatest lower bound). It then follows that all finite sets in a lattice have a supremum and an infimum. A complete lattice is a poset in which all nonempty sets have a supremum and an infimum. Lemma 5.33 implies the following analogue to Proposition 5.26:
Proposition 5.34**.**
The ball space associated to a lattice is finitely intersection closed. The ball space associated to a complete lattice is intersection closed.
For a lattice , we denote by the lattice endowed with the reverse order. We will now characterize complete lattices by properties from our hierarchy.
Theorem 5.35**.**
For a poset , the following assertions are equivalent.
a) is a complete lattice,
b) and are complete upper semilattices,
c) the principal final segments of and of form S∗∗* ball spaces,*
d) is an S∗ ball space and admits a top and a bottom element,
e) is an S∗ ball space and every finite set in has an upper and a lower bound.
Proof: The equivalence of a) and b) follows directly from the definitions. The equivalence of b) and c) follows from part 3) of Proposition 5.27.
a) d): Assume that is a complete lattice. Then it admits a top element (supremum of all its elements) and a bottom element (infimum of all its elements). Take a centered system in . Then for all , , so . Since is a complete lattice, and exist. From Lemma 5.33 it follows that , which consequently is a ball in . We have proved that is an S∗ ball space.
d) e): A top element is an upper bound and a bottom element a lower bound for every set of elements.
e) a): Take a poset that satisfies the assumptions of e), and any subset . If is a finite subset of , then it has an upper bound by assumption. Hence the balls , , have a nonempty intersection, as it contains . This shows that is a centered system of balls. Since is an S∗ ball space, its intersection is a ball , where we must have . By Lemma 5.25, is the supremum of .
Working with the reverse order, one similarly shows that has an infimum since is an S∗ ball space. Hence, is a complete lattice. ∎
For our next theorem, we will need one further lemma:
Lemma 5.36**.**
For a lattice , the following are equivalent:
a) is a complete lattice,
b) and are directed complete posets,
c) and are chain complete posets.
Proof: The implication a) b) is trivial as every nonempty set in a complete lattice has a supremum and an infimum.
b) a): Take a nonempty subset of . Let be the closure of under suprema and infima of arbitrary finite subsets of . Then is a directed system in both and . Hence by b), has an infimum and a supremum . These are lower and upper bounds, respectively, for . Suppose there was an upper bound for . Then there would be a supremum of some finite subset of such that . But as is also an upper bound of this finite subset, we must have that . This contradiction shows that is also the supremum of . Similarly, one shows that is also the infimum of . This proves that is a complete lattice.
b) c) follows from Proposition 4.2. ∎
Now we can prove:
Theorem 5.37**.**
For a lattice , the following are equivalent:
a) is a complete lattice,
b) is an S5 ball space,
c) is an S∗ ball space.
Proof: a) c): This follows from Theorem 5.35.
c) b) holds by the general properties of the hierarchy.
b) a): By Lemma 5.36 it suffices to prove that and are chain complete posets. Take a chain in . Then is a nest of balls in . Since is an S5 ball space, the intersection of this nest is a ball for some ; it must be of the form since the intersection contains . From Lemma 5.25 we infer that . This shows that is a chain complete poset. The proof for is similar. ∎
An example of a fixed point theorem that holds in complete lattices is the Knaster–Tarski Theorem, which we have mentioned in the Introduction.
6. Spherical closures in S∗ ball spaces
6.1. Spherical closures and subspaces
The particular strength of S∗ ball spaces enables us to introduce a closure operation similar to the topological closure. We will also introduce a notion of sub-ball space and show that a sub-ball space of an S∗ ball space will again be an S∗ ball space.
In order to distinguish between a ball space on a set and one on a subset , we will use the notations and , respectivly. As before, if is a function, then will denote the collection of all -closed balls in . The next lemma presents a simple but useful observation. It follows from the fact that the intersection over any collection of -closed sets is again -closed, see part 2) of Lemma 3.11.
Lemma 6.1**.**
If is an S∗ ball space, then so is , provided that .
For every nonempty subset of some ball in , we define
[TABLE]
and call it the spherical closure of in .
Lemma 6.2**.**
Take an S∗ ball space .
1) For every nonempty subset of some ball in , is the smallest ball in containing .
2) If is a function, then for every nonempty subset of some -closed ball in , is the smallest -closed ball containing .
Proof:
-
The collection of all balls containing is nonempty by our condition that is a subset of a ball in . The intersection of this collection contains , so it is a centered system, and since is S∗, its intersection is a ball. As all balls containing appear in the system, the intersection must be the smallest ball containing .
-
This follows from part 1) together with Lemma 6.1. ∎
Note that if , then we can drop the condition that is the subset of some ball (or some -closed ball, respectively) in .
Remark 6.3**.**
The ball defined in (15) in the proof of Theorem 5.20 is equal to , where is the set of all closed -closed sets of the topological space under consideration.
The proof of the following observation is straightforward:
Lemma 6.4**.**
Take an S∗ ball space . If are nonempty subsets of a ball in , then .
For any subset of , we define:
[TABLE]
If there is at least one ball such that , then and is a ball space.
Lemma 6.5**.**
Take an S∗ ball space and a subset such that .
1) For each ,
[TABLE]
2) The function
[TABLE]
preserves inclusion in the strong sense that
[TABLE]
3) If is a centered system of balls in , then (* is a centered system of balls in with*
[TABLE]
Proof: 1): It follows from the definition of that , so . Since , we can write for some . Since is the smallest ball containing , it must be contained in and therefore, .
2): In view of Lemma 6.4, it suffices to show that implies . This is a consequence of part 1) of this lemma.
3): Take a centered system of balls in . Then is a centered system of balls in since implies that . By part 1), , whence
[TABLE]
∎
With the help of this lemma, we obtain:
Proposition 6.6**.**
Take an S∗ ball space and assume that for every . Then also is an S∗ ball space.
Proof: Take a centered system of balls in . Then by part 3) of Lemma 6.5, is a centered system of balls in with . Since is assumed to be S∗, is a ball in . Therefore, is a ball in . ∎
6.2. Analogues of the Knaster–Tarski Theorem
Proposition 6.6 can be applied to the special case where a function is given and is the set of all fixed points of . Using also Lemma 6.1, we obtain:
Corollary 6.7**.**
Take an S∗ ball space and a function . If each ball in contains a fixed point, then
[TABLE]
is an S∗ ball space. If each -closed ball in contains a fixed point, then
[TABLE]
is an S∗ ball space.
Using these results, a ball spaces analogue of the Knaster-Tarski Theorem can be proved:
Theorem 6.8**.**
Take an S∗ ball space and a function .
1) Assume that every ball in contains a fixed point or a smaller ball. Then every ball in contains a fixed point, and is an S∗ ball space.
2) Assume that contains an -closed ball and every -closed ball in contains a fixed point or a smaller -closed ball. Then every -closed ball in contains a fixed point, and is an S∗ ball space.
Proof: 1): It follows from our assumptions together with Theorem 2.3 that every contains a fixed point. Therefore, . From Corollary 6.7 it follows that is an S∗ ball space.
2): By Lemma 6.1, is an S∗ ball space. Hence it follows from our assumptions together with part 1) of our theorem, applied to in place of , that every -closed ball in contains a fixed point and that is an S∗ ball space. ∎
Let us apply this theorem to the case of topological spaces. Take a compact topological space and the associated ball space formed by the collection of all nonempty closed sets. If is any function, then can be taken as the set of all nonempty closed sets of a (possibly coarser) topology, as arbitrary unions and intersections of -closed sets are again -closed. By Theorem 5.19 and Lemma 6.1, both and are S∗ ball spaces (note that is nonempty since it contains ). From part 2) of Theorem 6.8 we now obtain the following result:
Theorem 6.9**.**
Take a compact topological space and a function . Assume that every nonempty closed, -closed set contains a fixed point or a smaller closed, -closed set. Then the topology on the set of fixed points of having as its collection of nonempty closed sets is itself compact.
As we are rather interested in the topology on induced by the original topology of , we ask for a criterion on which guarantees that
[TABLE]
Proposition 6.10**.**
Take an S∗ ball space and a function .
1) If and is such that is -closed, then
[TABLE]
If this holds for every , then equation (19) holds.
2) Assume that for every that contains a fixed point. Then equation (19) holds.
Proof: 1): Pick . By part 1) of Lemma 6.2, is the smallest of all balls in that contain . Consequently, if is -closed, then it is also the smallest of all balls in that contain . Then by part 2) of Lemma 6.2, it must be equal to .
Since by part 1) of Lemma 6.5, equality (20) implies that . If equality (20) holds for all , then this implies the inclusion “” in (19). The converse inclusion follows from the fact that .
2): Pick . Since , we have by assumption that . All fixed points contained in are also contained in , hence . As is the smallest ball in containing , it follows that and thus , i.e., is -closed. Hence by part 1) of our proposition, (20) holds for arbitrary balls , which implies that (19) holds. ∎
The condition of part 2) of this proposition inspires the following definition.
Definition 6.11**.**
A function on a ball space is ball continuous if for every .
If the function is continuous in the topology of , then it is ball continuous on the associated ball space and the equation (19) follows from Proposition 6.10. Hence we obtain:
Theorem 6.12**.**
Take a compact topological space and a continuous function . Assume that every nonempty closed, -closed set contains a fixed point or a smaller closed, -closed set. Then the induced topology on the set of fixed points of is itself compact.
7. Set theoretic operations on ball spaces
7.1. Subsets of ball spaces
Proposition 7.1**.**
Take two ball spaces and on the same set such that . If is S1 (or S or S), then also is S1 (or S or S, respectively). This does in general not hold for any other property in the hierarchy.
Proof: The first assertion holds since every nest (or directed system, or centered system) in is also a nest (or directed system, or centered system) in . To prove the second assertion one constructs an S∗ ball space and a nest (or directed system, or centered system) such that the intersection does not lie in . Then to obtain one removes all balls from that lie in . ∎
7.2. Unions of two ball spaces on the same set
The easy proof of the following proposition is left to the reader:
Proposition 7.2**.**
If and are S1 ball spaces on the same set , then so is . The same holds with S2 or S5 in place of S, and for all properties in the hierarchy if is finite.
Note that the assertion may become false if is infinite and we replace S1 by S3 or S. Indeed, the intersection of a nest in may properly contain maximal balls which do not remain maximal balls contained in the intersection in .
It is also clear that in general infinite unions of S1 ball spaces on the same set will not again be S. For instance, ball spaces with just one ball are always S, but by a suitable infinite union of such spaces one can build nests with empty intersection.
For any ball space , we define the ball space by setting:
[TABLE]
Taking and in Proposition 7.2, we obtain:
Corollary 7.3**.**
A ball space is S1 if and only if is S. The same holds for all properties in the hierarchy in place of S.
7.3. Closure under finite unions of balls
Take a ball space . By we denote the set of all unions of finitely many balls in . The following lemma is inspired by Alexander’s Subbase Theorem:
Lemma 7.4**.**
If is a maximal centered system of balls in (that is, no subset of properly containg is a centered system), then there is a subset of which is a centered system in and has the same intersection as .
Proof: It suffices to prove the following: if such that , then there is some such that .
Suppose that . By the maximality of this implies that for each , is not centered. This in turn means that there is a finite subset of such that . But then is a finite subset of such that
[TABLE]
This yields that , which proves our assertion. ∎
The centered systems of balls in a ball space form a poset under inclusion. Since the union of every chain of centered systems is again a centered system, this poset is chain complete. Hence by Corollary 3.2 every centered system is contained in a maximal centered system. We use this to prove:
Theorem 7.5**.**
If is an S ball space, then so is .
Proof: Take a centered system of balls in . Take a maximal centered system in which contains . By Lemma 7.4 there is a centered system of balls in such that . Since is an S ball space, we have that , which yields that . This proves that is an S ball space. ∎
In [1] it is shown that the theorem becomes false if “S” is replaced by “S1”.
In [1], the notion of “hybrid ball space” is introduced. The idea is to start with the union of two ball spaces as in Section 7.2 and then close under finite unions. The question is whether the resulting ball space is an S1 ball space if the original ball spaces are. On symmetrically complete ordered fields we have two S1 ball spaces: and where is the ultrametric induced by the natural valuation of (cf. Theorem 5.15). But by Proposition 5.18, is not S, hence Theorem 7.5 cannot be applied. Nevertheless, the following result is proven in [1] by a direct proof. The principles that make it work still remain to be investigated more closely.
Theorem 7.6**.**
Take a symmetrically complete ordered field and to be the set of all convex sets in that are finite unions of closed intervals and ultrametric balls. Then is spherically complete.
7.4. Closure under nonempty intersections of balls
Take a ball space . We define:
(a) to be the set of all nonempty intersections of arbitrarily many balls in ,
(b) to be the set of all nonempty intersections of finitely many balls in ,
(c) to be the set of all nonempty intersections of nests in .
Note that is intersection closed if and only if , finitely intersection closed if and only if , and chain intersection closed if and only if . If is S, then . If is S, then by Proposition 4.10. We note:
Proposition 7.7**.**
Take an arbitrary ball space . Then the ball space is intersection closed, and is finitely intersection closed.
Proof: Take balls , , and for every , balls , , such that . Then
[TABLE]
If is finite and for every , then every can be taken to be finite and thus the right hand side is a ball in . ∎
In view of these facts, we introduce the following notions.
Definition 7.8**.**
We call the intersection closure of , and the finite intersection closure of . If a chain intersection closed ball space is obtained from by a (possibly transfinite) iteration of the process of replacing by , then we call a chain intersection closure of .
Chain intersection closures are studied in [11] and conditions are given for to be the chain intersection closure of . As stated already in part 1) of Theorem 5.4, this holds for classical ultrametric spaces. This result follows from a more general theorem (cf. [11, Theorem 2.2]):
Theorem 7.9**.**
If is a tree-like ball space, then is its chain intersection closure, and if in addition is an S1 ball space, then so is .
Since chain intersection closed S1 ball spaces are S, we obtain:
Corollary 7.10**.**
If is a tree-like S1 ball space, then is an S5 ball space.
Intersection closure can also increase the strength of ball spaces:
Theorem 7.11**.**
If is an S ball space, then its intersection closure is an S∗ ball space.
Proof: Take a centered system in . Write with . Then is a centered system in : the intersection of finitely many balls contains the intersection , which by assumption is nonempty. Since is S, . This proves that is an S ball space. Since is intersection closed, Theorem 4.9 now shows that is an S∗ ball space. ∎
7.5. Closure under finite unions and under intersections
From Theorems 7.5 and 7.11 we obtain:
Theorem 7.12**.**
Take any ball space . If is obtained from by first closing under finite unions and then under arbitrary nonempty intersections, then:
1) is closed under finite unions,
2) is intersection closed,
3) if in addition is an S ball space, then is an S∗ ball space.
Proof: 1): Take such that for . Then
[TABLE]
Since for , we have that also . This implies that .
2): Since is an intersection closure, it is intersection closed.
3): By Theorems 7.5 and 7.11, is an S∗ ball space. ∎
7.6. The topology associated with a ball space
Take any ball space . Theorem 7.12 tells us that in a canonical way we can associate with it a ball space which is closed under nonempty intersections and under finite unions. If we also add and to , then we obtain the collection of closed sets for a topology whose associated ball space is .
Theorem 7.13**.**
The topology associated with a ball space is compact if and only if is an S ball space.
Proof: The “if” direction of the equivalence follows from Theorems 7.12 and 5.19. The other direction follows from Theorem 5.19 and Proposition 7.1. ∎
Example: the -adics.
The field of -adic numbers together with the -adic valuation is spherically complete. (This fact can be used to prove the original Hensel’s Lemma via the ultrametric fixed point theorem, see [24], or even better, via the ultrametric attractor theorem, see [13].) The associated ball space is a classical ultrametric ball space and hence tree-like. It follows from Proposition 4.5 that it is an S ball space. Hence by Theorem 7.13 the topology derived from this ball space is compact.
However, is known to be locally compact, but not compact under the topology induced by the -adic metric. But in this topology the ultrametric balls are basic open sets, whereas in the topology derived from the ultrametric ball space they are closed and their complements are the basic open sets. It follows that the balls are not open. It thus turns out that the usual -adic topology on is strictly finer than the one we derived from the ultrametric ball space.
8. Tychonoff type theorems
8.1. Products in ball spaces
In [1] it is shown that the category consisting of all ball spaces together with the ball continuous functions (see Definition 6.11) as morphisms allows products and coproducts. The products can be defined as follows.
Assume that is a family of ball spaces. Recall that .
Definition 8.1**.**
We set and define the product to be , where
[TABLE]
Further, we define the topological product to be , where
[TABLE]
and the box product of the family to be , where
[TABLE]
Since the sets are nonempty, it follows that , and as no ball in any is empty, it follows that no ball in , and is empty.
We leave the proof of the following observations to the reader:
Proposition 8.2**.**
a) We have that
[TABLE]
b) The following equations hold:
[TABLE]
The following theorem presents our main results on the various products.
Theorem 8.3**.**
The following assertions are equivalent:
a) the ball spaces , , are spherically complete,
b) their box product is spherically complete,
c) their topological product is spherically complete.
d) their product is spherically complete.
The same holds with “S” and “S” in place of “spherically complete”.
The equivalence of a) and b) also holds for all other properties in the hierarchy, and the equivalence of a) and d) also holds for S, S, S4 and S.
Proof: Take ball spaces , , and in every take a set of balls . Then we have:
[TABLE]
If is a nest of balls in , then for every , also must be a nest in .
a) b): Assume that all ball spaces , , are spherically complete. Then for every , has nonempty intersection. By (21) it follows that . This proves the implication a) b).
b) a): Assume that is spherically complete. Take and a nest of balls in . For each , set and for where is an arbitrary fixed ball in . Then is a nest in . By assumption,
[TABLE]
whence . We have shown that for every , is spherically complete. This proves the implication b) a).
a) c): Assume that all ball spaces , , are spherically complete. Then by Corollary 7.3, all ball spaces , , are spherically complete. By the already proven implication a) b), their box product is spherically complete. By part a) of Proposition 8.2 together with Proposition 7.1, is spherically complete, too.
c) d): Again, by part a) of Proposition 8.2 together with Proposition 7.1, the product of the ball spaces , , is spherically complete, and as the product of the ball spaces , , is a subspace of this, it is also spherically complete.
d) a): Same as the proof of b) a), where we now take .
These proofs also work when “spherically complete” is replaced by “S” or “S”, as can be deduced from the following observations:
-
is a centered system if and only if all sets , , are.
-
If is a directed system, then so are for all .
-
Fix . If is a directed system, then so is when the balls are chosen as in the proof of b) a) or d) a).
A proof of the equivalence of a) and b) similar to the above also holds for all other properties in the hierarchy. For the properties S, S3, S4 and S, one uses the fact that by definition, is a ball in if and only if every is a ball in and that
-
is a ball contained in if and only if every is a ball contained in ,
-
is a maximal (or largest) ball contained in if and only if every is a maximal (or largest, respectively) ball contained in . ∎
Example 8.4**.**
*There are S∗ ball spaces , , such that the ball space is not even S. *Indeed, we choose a set with at least two elements, and for every we take and with . Then trivially, all ball spaces are S∗. For all , define
[TABLE]
Then is a nest of balls in , but the intersection does not contain any ball in this ball space.
Example 8.5**.**
*There are S∗ ball spaces , , such that the ball space is not S. *Indeed, we choose again a set with at least two elements and take with . Then as in the previous example, , are S∗ ball spaces. Further, , which is a centered system whose intersection does not contain any ball.
8.2. The ultrametric case
If , are ultrametric spaces with value sets , and if is an ultrametric ball in for each , then
[TABLE]
This shows that the box product is the ultrametric ball space for the product ultrametric on which is defined as
[TABLE]
The latter is a poset, but in general not totally ordered, even if all are totally ordered and even if is finite. So the product ultrametric is a natural example for an ultrametric with partially ordered value set.
If the index set is finite and all are contained in some totally ordered set such that all of them have a common least element , then we can define an ultrametric on the product which takes values in as follows:
[TABLE]
for all . We leave it to the reader to prove that this is indeed an ultrametric. The corresponding ultrametric balls are the sets of the form
[TABLE]
for some and . Now the value set is totally ordered. It turns out that the collection of balls so obtained is a (usually proper) subset of the full ultrametric ball space of the product ultrametric. Therefore, if all are spherically complete, then so is by Theorem 8.3 and Proposition 7.1.
Theorem 8.6**.**
Take ultrametric spaces , . Then the ultrametric space is spherically complete if and only if all , , are spherically complete.
If the index set is finite and all are contained in some totally ordered set such that all of them have a common least element, then the same also holds for in place of .
Proof: As was remarked earlier, the ultrametric ball space of the product ultrametric is the box product of the ultrametric ball spaces of the ultrametric spaces . Thus the first part of the theorem is a corollary to Theorem 8.3.
To prove the second part of the theorem, it suffices to prove the converse of the implication we have stated just before the theorem. Assume that the space is spherically complete and choose any . Let be a nest of balls in . Further, for every choose some element and for every set and
[TABLE]
In order to show that is a nest of balls in , we have to show that any two balls , , , have nonempty intersection. Assume without loss of generality that . As is a nest of balls, we have that . It follows that , and since for every ,
[TABLE]
As is assumed to be spherically complete, there is some ; it satisfies for all and all . In particular, taking , we find that for all and thus, . ∎
8.3. The topological case
In which way does Tychonoff’s theorem follow from its analogue for ball spaces? The problem in the case of topological spaces is that the topological product ball space we have defined, while containing only closed sets of the product, does not contain all of them, as it is not necessarily closed under finite unions and arbitrary intersections. We have to close it under these operations.
If the topological spaces , , are compact, then their associated ball spaces are S (cf. Theorem 5.19). By Theorem 8.3 their topological product is also S. Theorem 7.12 shows that the product topology of the topological spaces is the closure of under finite unions and under arbitrary nonempty intersections, when and the whole space are adjoined. By Theorem 7.13, this topology is compact.
We have shown that Tychonoff’s Theorem follows from its ball spaces analogue.
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