Unavoidable subprojections in union-closed set systems of infinite breadth
Yemon Choi, Mahya Ghandehari, Hung Le Pham

TL;DR
This paper characterizes union-closed set systems with infinite breadth by showing that at least one of three specific configurations must appear as a subprojection, providing a foundational structural insight.
Contribution
It introduces the first general structural result for union-closed set systems of infinite breadth, identifying unavoidable subprojections.
Findings
At least one of the three configurations occurs in any infinite breadth system.
The configurations ${ m max}(E)$, ${ m min}(E)$, and ${ m ort}(E)$ are fundamental to the structure.
This result advances understanding of the internal structure of infinite breadth set systems.
Abstract
We consider union-closed set systems with infinite breadth, focusing on three particular configurations , and . We show that these three configurations are not isolated examples; in any given union-closed set system of infinite breadth, at least one of these three configurations will occur as a subprojection. This characterizes those union-closed set systems which have infinite breadth, and is the first general structural result for such set systems.
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Unavoidable subprojections in union-closed set systems of infinite breadth
Yemon Choi, Mahya Ghandehari, Hung Le Pham
(11th February 2021)
Abstract
We consider union-closed set systems with infinite breadth, focusing on three particular configurations , and . We show that these three configurations are not isolated examples; in any given union-closed set system of infinite breadth, at least one of these three configurations will occur as a subprojection. This characterizes those union-closed set systems which have infinite breadth, and is the first general structural result for such set systems.
Keywords: breadth, semilattice, subprojection, subquotient, trace of a set system, union-closed set system.
MSC 2010: Primary 05D10, 06A07. Secondary 06A12.
Notification:
this update of the arXiv version fixes two minor errors in Propositions 3.5 and 3.6, which were spotted after the paper was accepted and were fixed during the “page proofs” stage. In both cases the errors were in the implications (i)(ii), and did not affect the validity of the proof of the main theorem (Theorem 1.6), which only requires the implications (ii)(i).
Nevertheless, for the sake of accuracy we have decided to upload a corrected version to arXiv. We have also updated the bibliography: the paper [CGP21] has now been published.
This update of the arXiv version does not include the reformatting and copy-editing done by the journal, and does not supersede the official “version of record”, which has been published online as
Y. Choi, M. Ghandehari, H. L. Pham, Unavoidable subprojections in union-closed set systems of infinite breadth. European J. Combin. 94 (2021), article 103311. DOI 10.1016/j.ejc.2021.103311
Note that the version of record includes the corrections mentioned above.
Contents
1 Introduction
1.1 Initial definitions
For a given set , a set system on is a subset of the powerset . Usually we study set systems with extra structure; this paper concerns those set systems which satisfy the following additional property.
Definition 1.1**.**
Let be a set system on . We say that is union-closed if .
For such an , the binary operation makes into a commutative semigroup in which every element is idempotent, a so-called (join) semilattice. Hence, in studying union-closed set systems, we may import concepts from lattice theory.111For instance, it is well known that Frankl’s conjecture on finite union-closed set systems has a lattice-theoretic reformulation, which has then been solved for certain natural classes of lattices. One such lattice-theoretic concept is the notion of breadth.
Definition 1.2**.**
Let be a union-closed set system. The breadth of , denoted by , is the smallest with the following property: whenever , there exists such that
[TABLE]
If no such exists, we say that has infinite breadth and we put .
It is easily checked from this definition that if is a non-empty finite set, then ; the lower bound on breadth is demonstrated by considering singleton subsets of , and the upper bound follows from the pigeonhole principle. The same reasoning shows that if is infinite then has infinite breadth.
To date, there has been no attempt to develop any kind of structure theory for union-closed set systems with infinite breadth. Informally, if is a union-closed set system with infinite breadth, then for each there exists a finite subset which is at least as complex as the powerset of . However, the condition of infinite breadth gives us no a priori information or constraint on how such fit together. The starting point for the present paper is the observation that there are three particular set systems, union-closed with infinite breadth, where the subsets are positioned relative to each other in a very structured way.
Definition 1.3** (Three key configurations with infinite breadth).**
Let be a countably infinite set, and let denote a partition of into disjoint subsets with for all . Let and , with the convention that .
We define the following union-closed set systems on (see Figure 1 for an illustration):
- (i)
; 2. (ii)
; 3. (iii)
.
Note that , and all have infinite breadth. For, if we let denote one of these three set systems, then for each we may enumerate as and then choose such that for , which shows that .
Informally speaking, the main result of our paper implies that these special configurations , and are not isolated examples, but are unavoidable when considering union-closed set systems of infinite breadth.
1.2 Statement of the main result
To state our main result precisely, some further notation and terminology is needed.
Definition 1.4** (Subprojections).**
Given and a non-empty , the projection of on is defined to be the set system
[TABLE]
If , then a set system of the form is called a subprojection of (on ). We denote this by (with the choice of made clear where necessary).
Proposition 1.5**.**
Let and be union-closed set systems on with . Then .
Proof.
If has infinite breadth there is nothing to prove. Suppose has finite breadth and let . By assumption, there exist and such that . Given , there exist such that for all . Since , by re-indexing if necessary we may assume that ; then . This shows that . ∎
In particular, let be a union-closed set system and suppose that , where denotes one of the three configurations , or from Definition 1.3. Then has infinite breadth, since does. Our main result is that the converse holds.
Theorem 1.6** (Main result).**
Let be a union-closed set system with infinite breadth. Then has a subprojection equal to either , , or . More precisely, there exist:
- •
a sequence of pairwise disjoint subsets of , satisfying for all , and
- •
a union-closed set system ,
such that when we put and , the subprojection is equal to either , or .
To our knowledge, Theorem 1.6 is the first general structural result for union-closed set systems of infinite breadth, and most of the paper is devoted to its proof. Note that while a given could have more than one of these three configurations as a subprojection, a little work shows that each of these three cannot contain (a copy of) the other two; so the list of unavoidable configurations in our theorem is best possible.
Example 1.7** (Two examples as illustrations of Theorem 1.6).**
Given an infinite set , let be the set of all finite subsets of and let be the set of all cofinite subsets of . Both and are union-closed, and both have infinite breadth.
Fix a countably infinite subset , and let be a partition of with the properties described in Definition 1.3. Then , and thus is a subprojection of on . Moreover, if we define two set systems on by
[TABLE]
[TABLE]
then and . Thus both and are subprojections of on .
On the other hand, since , every subprojection of on is contained in . Since every is finite, this shows that is not a subprojection of . By similar reasoning, which we leave to the reader, one can show that neither nor arise as subprojections of .
1.3 Some context and connections
1.3.1 Relation to existing results
Extending previous results of the authors.
Let be union-closed with infinite breadth. An earlier combinatorial result of the authors (see [CGP21, Proposition 4.10]), when translated into the terminology of the present paper, states that has a subprojection of the form . This result becomes an easy consequence of Theorem 1.6 and the fact that, as observed at the end of Example 1.7, neither nor can arise as subprojections of . As we shall see, the proof of Theorem 1.6 requires substantially more work and several new ideas compared with the earlier special case in [CGP21].
Analogies with structural results in group theory.
One may regard Theorem 1.6 as similar in spirit to results in group theory, which say that the free group on two generators is not merely an example of a non-amenable group, but is contained in every non-amenable group that satisfies some mild additional hypotheses. (For instance, every non-amenable linear group has a free non-abelian subgroup; this follows from the Tits alternative.)
Moreover, subprojections as defined in Definition 1.4 have an algebraic interpretation, analogous to the notion of subquotients in group theory or representation theory. Subquotients are the building blocks for theories of composition series (of groups or representations); we shall not attempt to develop a corresponding theory in this paper, although this could be useful if one seeks to obtain a more detailed structure theory for union-closed set systems of infinite breadth.
Unavoidable configurations in finite set systems.
It will follow from Lemma 2.1 below that although we defined subprojections as projections of subsystems, this is equivalent to taking subsystems of projections.222The authors of [BB05] use the terminology “trace” where we have used the word “projection”; we feel that our choice is slightly clearer for the purposes of the present paper. Thus Theorem 1.6 is similar in spirit to the main result of [BB05], which shows that one of three special patterns must occur as a subprojection in any sufficiently large finite set system.
Ramsey theory.
There is a Ramsey-theoretic flavour to the statement of Theorem 1.6, but it does not seem to follow from the standard Ramsey-type theorems for (hyper)graphs. Nevertheless, the nested inductive arguments that will be used to prove Theorem 1.6 are reminiscent of similar arguments in infinitary Ramsey theory, and it might be interesting to pursue further links in future work.
1.3.2 Breadth in other settings
One measure of complexity for general set systems is Vapnik–Chervonenkis dimension, which has played a seminal role in various aspects of statistical learning theory. It turns out that when and is union-closed, its VC-dimension coincides with its breadth (a fuller explanation is provided in Remark 2.8). Attention has mostly focused on examples with finite VC-dimension, since these systems are the ones for which uniform learning guarantees can be devised. Nevertheless, the techniques used to prove Theorem 1.6 may lead to a better understanding of how things go wrong in settings with infinite VC-dimension.
Breadth of set systems also makes an unexpected appearance in some recent work on model theory [ADH*+*16, ADH*+*13]. It turns out that stable theories — such as the theory of algebraically closed fields, or the theory of a module over a given ring — will naturally give rise to set systems with infinite breadth. See [ADH*+*16, Proposition 2.20] and the surrounding remarks333In the statement of [ADH*+*16, Proposition 2.20], the assumption “” refers not to VC-dimension but to the related notion of VC-density, which we shall not discuss here. The reader should also beware that in [ADH*+*16, Section 2.4], breadth is defined using intersections rather than unions, which yields an equivalent but dual perspective to the one in this paper. for further details.
We already remarked that every union-closed set system can be viewed as a semilattice. Conversely, every semilattice can be naturally represented as an intersection-closed set system (this appears to be folklore, but an explicit construction is sketched in [CGP21, Section 2.1]). Hence, by taking complements, can be modelled by a union-closed set system ; moreover, has infinite breadth in the sense of lattice theory if and only if has infinite breadth in the sense of Definition 1.2. While there has been work on semilattices with small breadth, such as [Dit84, Gie94, Law71], to our knowledge there has been no systematic study of semilattices with infinite breadth. The tools developed in this paper to prove Theorem 1.6 may be useful in further study of the structure of such semilattices.
1.3.3 Applications to Banach algebras
Given a semilattice , one can use a representation of as a union-closed set system to construct submultiplicative weight functions on , which give rise to examples of Banach function algebras. In recent work [CGP21], we obtained a combinatorial characterization of those weights for which the corresponding Banach algebras have the so-called AMNM property of [Joh86]. Using [CGP21, Theorem 3.7] and Theorem 1.6 of the present paper, together with further combinatorial arguments, one can construct on every semilattice of infinite breadth a weight whose corresponding Banach algebra fails to have the AMNM property; this resolves a question which was raised implicitly by the first author in [Cho13] and pursued further in [CGP21]. Details will appear in the article [CGPpre].
1.4 Overview of the proof of the main result
This subsection is intended to explain the strategy/intuition behind the technical arguments and definitions in the rest of the paper. However, none of the material in this subsection is logically necessary for the proofs in the following sections. The reader who prefers to see precise details and proofs immediately, should skip to Section 2.
In Section 3.1, we show how a subprojection of with the form can be recognized inside . A further reformulation is carried out in Section 3.2, where we show that if sequences in and in can be constructed to satisfy certain recursive properties, then one can inductively build a subprojection of of the form . Similar results are established for and ; it is notable that for these two cases, repeated subprojections of occur naturally. (The relation is transitive, as will be shown in Lemma 2.2.)
We can view the task of constructing suitable sequences (yielding either , or ) as a -player game in discrete time, where the “state space” of the game consists of subprojections of . We start at time with initial state ; and at stage of the game, if we are in state , we pass to a subprojection , subject to certain rules. At stage , the permissible “moves” have three possible types, labelled , and .
The results of Section 3.2 have the following interpretation: we win the game — in the sense of being able to construct of the desired form — if it is possible from some point onwards to make an infinite sequence of consecutive moves all of the same type, e.g.
[TABLE]
In making such moves, we might run into a dead end and need to backtrack to an earlier stage of the game. To make progress we need a closer look at how this problem could arise, and what conditions can be imposed to rule out such problems.
Let . In Definition 4.5, we introduce the concept of being -automatic. This definition is rather technical, but is guided by the results in Section 3.2; the key point is that if is -automatic, then for any and any , there is always some move of type starting from (Proposition 4.7). Since such a move takes us from to some , and since is transitive, one obtains a winning sequence of moves without needing to look ahead; at stage we can always make a move of , and whichever one we pick, there will be a move of type available at the next stage.
Similarly: there are notions of being -automatic and -automatic (Definition 4.5 again), and analogous results showing that set systems with these properties allow the construction of copies of or by “making moves without needing to look ahead” (Proposition 4.7 again). Therefore, Theorem 1.6 will follow if we can show that always has a subprojection that is either -automatic, -automatic or -automatic. This will be achieved in Proposition 4.6; it is here that the precise technical definitions of -automaticity (for ) becomes important. Section 5 is devoted to the technical lemmas needed to make this work.
Note that we will end up with a sharper version of Theorem 1.6. It is easy to construct examples of which have subprojections of the form but are not -automatic; nevertheless, Proposition 4.6 tells us that some subprojection of will be -automatic.
2 Preliminary results
2.1 Some notation and terminology
In this subsection, we fix the notational conventions that will be used in the rest of the paper.
Notation**.**
Let be a set system on a nonempty set . We use the following terminology and notational conventions to aid clarity of our presentation.
- (i)
Elements of will usually be denoted by lower-case Greek letters. General subsets of may be denoted by upper-case Roman letters or upper-case Greek letters; but see the next item. 2. (ii)
By members of , we mean subsets of which belong to . We use letters such as , , , etc., to denote members of , and write and for their union and intersection respectively. The complement of in is denoted by . If it happens that and are disjoint subsets of , we shall sometimes emphasize this by writing their union as . 3. (iii)
We recall (Definition 1.1) that is said to be union-closed if . Note that with this terminology, “union-closed” need not imply being closed under taking arbitrary unions: the set system in Example 1.7 illustrates this point. 4. (iv)
Let . We write for and for . Note that if is union-closed and is finite, then . 5. (v)
Let be a family of subsystems of . We denote the union of these subsystems by ; this should not be confused with . The intersection of the is denoted similarly by .
Given and , we already defined the projection in Definition 1.4. We may also define other set systems derived from using :
[TABLE]
Clearly, each of these set systems is union-closed if is.
2.2 More on subprojections
Lemma 2.1** (Equivalent notions of subprojection).**
Let and let . The following are equivalent:
- (i)
(subsystem of a projection) there exists such that ; 2. (ii)
(projection of a subsystem) there exist and such that , i.e. . 3. (iii)
.
Moreover, if both and are union-closed, in (ii) we may choose to be union-closed.
The proof of the lemma is routine; we provide details in order to familiarize the reader with the notation that has been previously introduced.
Proof.
Suppose that (ii) holds. Then
[TABLE]
and thus (i) holds. Similarly: if (i) holds for some , then since we have
[TABLE]
and thus (iii) holds. The converse implication (iii)(i) is trivial.
Finally, suppose that (i) holds. Define , noting that if and are union-closed then so is . By construction,
[TABLE]
But by (i), each is equal to for some ; this then belongs to , and so . Thus , and so (ii) holds. ∎
The property in Lemma 2.1(i) is often more convenient to work with than the original definition of a subprojection, as is shown clearly in the short proof of the next important lemma.
Lemma 2.2** (Transitivity of ).**
Let be set systems on . If and , then .
Proof.
By Lemma 2.1 (i), there exist such that and such that . Thus
[TABLE]
Hence, using the same lemma, . ∎
We chose Lemma 2.1(ii) as our definition of subprojection because, later in the paper, several arguments have an inductive step with the following form: starting from some set system , we form for certain choices of and . In other words, the natural order of operations is to pass to a subsystem of and then apply a projection.
By Lemma 2.1, is a subsystem of a projection of , but it is important to note that in general it is not the same as . However, in certain cases the two set systems coincide. The next lemma provides sufficient conditions for this.
Lemma 2.3** (Swapping projection and exclusion/inclusion).**
Let and let .
- (i)
. If , then equality holds. 2. (ii)
. If , then equality holds.
Proof.
We have
[TABLE]
If then and so the inclusion above is an equality. This proves part (i).
Similarly,
[TABLE]
If then any satisfying also satisfies , and so the inclusion above is an equality. This proves part (ii). ∎
2.3 Incompressible subsets and their witnesses
Definition 2.4** (Incompressible subsets of ).**
Let be a finite subset of . If there is a proper subset such that , we say that is compressible; otherwise, we say is incompressible.
Given , we write for the set of all finite incompressible subsets of . Given , we write .
Thus, if is a union-closed set system on , Definition 1.2 may be rewritten as .
Remark 2.5*.*
The example (Example 1.7) has the property that it contains an increasing sequence of finite incompressible subsets. This is not typical; such sequences do not exist for , or .
If is union-closed, incompressible subsets of with size generate subsets of that resemble . We now make this more precise. Let with , and enumerate as . It is easily checked that the following statements are equivalent:
- (i)
there exists such that ; 2. (ii)
there exists such that ; 3. (iii)
is compressible.
Thus, such an is incompressible if and only if there exist such that
[TABLE]
In fact, this characterizes incompressible subsets of which have size (for if with , then ).
Definition 2.6**.**
Let with be incompressible. A subset of is called a witness of incompressibility for , or just a witness for , if it satisfies (2). Equivalently, each is contained in a unique member of .
Remark 2.7*.*
Every -element subsystem of is incompressible. However, for the definition of a witness we restrict our attention to subfamilies of size at least . One reason is that some useful results such as Lemma 2.9(i) become false if we allow witnesses of size . Also, the 1-element subfamily is incompressible, but does not admit a witness at all.
The next remark is included for background interest; we will not need it for the proof of our main result. It provides additional detail connected with the remarks in Section 1.3.
Remark 2.8* (Breadth and VC-dimension).*
If is a set system on (not necessarily union-closed) and is a finite non-empty subset of , then is said to shatter if . This concept is important for statistical learning theory, so it is interesting to note its connection with the (lattice-theoretic) notion of breadth.
Let be union-closed. If shatters some finite set , then a fortiori , and hence is a witness of incompressibility for some . In the other direction: let be union-closed and satisfy . Suppose there exists for some , and let be a witness of incompressibility for . It then follows from the assumptions on that shatters .
The Vapnik–Chervonenkis (VC) dimension of a set system is defined as the supremum of over all finite subsets that are shattered by . The calculations above show that when is union-closed and , then .
2.4 Various lemmas
In this section, we collect some properties of witnesses which will be useful later, and then apply them to study how breadth behaves when combining or projecting set systems.
Lemma 2.9**.**
Let for some .
- (i)
Any witness for is contained in and has empty intersection with . 2. (ii)
If is a witness for , and with , then is a witness for a (unique) incompressible .
Proof.
Let be a witness for . Each element of is an element of some member of and hence is an element of the union of all members of ; that is, . If there existed some then would be an element of two distinct members of , contradicting what it means to be a witness. This proves (i).
Now suppose that with . For each let be the unique member of to which belongs, and let . It is easily checked that is a witness for . If also has the property that is a witness for , then must contain (since and implies ) and must also satisfy , and so . This proves (ii). ∎
Whenever , incompressible subsets of can always be “lifted” to incompressible subsets of . To state things precisely, we make the following definition.
Definition 2.10** (Liftings).**
Let be a non-empty set system, and let . Given , a lifting of (relative to and ) is a set system such that the truncation map restricts to a bijection .
Liftings of a given always exist, since the truncation map is surjective by definition. (In the desired applications, will be finite, so we can avoid invoking the axiom of choice.)
Lemma 2.11** (Lifting incompressible subsets of a subprojection).**
Let , let be non-empty, and let . Suppose with , and let be a witness for . Let be any lifting of . Then is an incompressible subsystem of , and is a witness for .
Proof.
By Lemma 2.9(i), we have . In particular, . It suffices to prove that each belongs to a unique member of . Suppose otherwise: then there exists which belongs to two distinct members of , say and . Hence and . This is a contradiction, since and are members of and is a witness for . ∎
Lemma 2.12** (Coarse-graining of an incompressible system).**
Let be an incompressible subsystem of , with a witness . Let , with , be a partition of into a disjoint union of non-empty subsystems. For each , put , and pick exactly one element . Then is incompressible, with as a witness.
Proof.
By definition, for each , . Suppose that there exist distinct and with . Then there exist and such that , which contradicts the assumption that is a witness for . We conclude that whenever and are distinct, belongs to ; thus it is a witness of incompressibility for . ∎
In the last lemma of this section, we observe how the breadth of a union-closed set system interacts with the breadth of its subsystems and projections.
Lemma 2.13**.**
Let be union-closed, and let be subsets of such that .
- (i)
Suppose for each . If , then . 2. (ii)
Suppose that for all . Then .
Proof.
To prove (i), let and let . For , we may write . By the pigeonhole principle, if then there is at least one such that , and for this , is compressible. Hence is compressible, as any superset of a compressible set is again compressible. This implies that , so has finite breadth.
We now prove (ii). Towards a contradiction, suppose that . Let , and take . Since has infinite breadth, it contains an incompressible subset with a witness such that .
By the definition of a witness, for each there exists a unique member of containing , which we denote by . For , define . Then , as . So by the pigeonhole principle, there is at least one such that . Hence . Then since is a witness of incompressibility for , we have ; a contradiction. ∎
3 A closer look at our target configurations
3.1 Recognizing the desired configurations
Throughout this subsection, but not the subsequent ones, we fix:
- •
a union-closed set system ;
- •
a sequence of finite, non-empty subsets of with for all .
For , we put and , with the convention that . Let , so that .
Unlike Definition 1.3, we do not assume at the outset that the sets are pairwise disjoint. However, the results of this subsection, Lemmas 3.1, 3.2 and 3.3, provide sufficient444It will be shown en route that these conditions are also necessary, although this is not required for the proof of Theorem 1.6. conditions for the to be pairwise disjoint and for to have a subprojection equal to , and respectively.
Recognizing .
Suppose that the sets are pairwise disjoint, and that . The th level in is generated by taking finite unions of all sets of the form where ; and such a set must have the form for some . Collecting such , one for each , gives rise to a lifting for the generating set with witness . Hence, there exists a sequence of subsets of with the following properties:
- (WIT)
each is incompressible, and has as a witness;
- (MAX)
for all , and .
Conversely, the next lemma says in effect that these two necessary conditions are also sufficient. In particular, they automatically imply that for all .
Lemma 3.1**.**
Suppose there exists a sequence of subsets of satisfying (WIT) and (MAX). Then the sets are pairwise disjoint; and the union-closed set system generated by is .
Proof.
From (MAX) we have for every . But by (WIT), is a witness for , so Lemma 2.9 implies that . Hence whenever .
To prove the second part, given any consider the decomposition
[TABLE]
(Recall that we use to signify the fact that the sets forming the union are pairwise disjoint.) The second term equals for some , since and is a witness for . By the condition (MAX), the first term equals and the third term is empty. Thus each member of is one of the generating elements of . ∎
Recognizing .
Suppose that the sets are pairwise disjoint, and that . The th level in is generated by taking finite unions of all sets of the form where , and such a set must have the form for some . Collecting such , one for each , gives rise to a lifting for the generating set with witness . Hence, there exists a sequence of subsets of with the following properties:
- (WIT)
each is incompressible, and has as a witness;
- (MIN)
for all , and .
There is an analogue of Lemma 3.1. The proof is very similar, so we will give fewer details.
Lemma 3.2**.**
Suppose there exists a sequence of subsets of satisfying (WIT) and (MIN). Then the sets are pairwise disjoint; and the union-closed set system generated by is .
Proof.
By (WIT) is a witness for , so in particular . But by the second part of (MIN), is disjoint from ; thus , as in the case.
For the second part, note that for each we have
[TABLE]
and these sets generate . ∎
Recognizing .
Suppose that the sets are pairwise disjoint, and that . The th level in is generated by taking finite unions of all sets of the form where , and such a set must have the form for some . Collecting such , one for each , gives rise to a lifting for the generating set with witness . Hence, there exists a sequence of subsets of with the following properties:
- (WIT)
each is incompressible, and has as a witness;
- (ORT)
for all , .
As in the previous two cases, we get a converse statement.
Lemma 3.3**.**
uppose there exists a sequence of subsets of satisfying (WIT) and (ORT). Then the sets are pairwise disjoint; and the union-closed set system generated by is .
Proof.
Similarly to the case, by combining the condition with the condition (WIT), it follows that . We also have, for each and each ,
[TABLE]
and sets of these form generate . ∎
3.2 Inductive reformulation of our target configurations
We now build on the previous observations to obtain necessary and sufficient conditions with an inductive flavour. Intuitively, these conditions have the following flavour: in each of the three cases there is a certain kind of “move” that one is allowed to apply to a given union-closed set system; and being able to make an infinite sequence of “moves” of that kind will allow one to construct a subprojection of the form , or .
Let be a non-empty set. Recall (Example 1.7) that denotes the set of all finite subsets of .
Proposition 3.4** (Reformulating ).**
Let be a union-closed set system, and let be a sequence in , with for all . The following are equivalent:
- (i)
there exist incompressible subsets for all , which satisfy the conditions (WIT) and (MAX) with respect to ; 2. (ii)
there exist incompressible subsets , for , with a witness for , such that and
[TABLE]
Proof.
(i)(ii): Put and for all . Since is a witness for and is disjoint from for every by condition (MAX), we see that remains a witness for . Moreover, by induction we have for all . Hence
[TABLE]
as required.
(ii)(i) To ease notation, define an increasing sequence in , with the convention that . Then our assumptions can be rephrased as: for all . Also, note that for all .
We shall prove by induction that for all . For this holds since and . Suppose for some , we have is a subset of . Note that is finite and is union-closed, so . Hence
[TABLE]
and this completes the inductive step.
Now put for each . We have just shown that . Moreover, since , is still a witness for .
We have . Finally, if , then
[TABLE]
so that . ∎
Proposition 3.5** (Reformulating ).**
Let be a union-closed set system, and let be a sequence in , with for all . The following are equivalent:
- (i)
there exist incompressible subsets for all , which satisfy the conditions (WIT) and (MIN) with respect to ; 2. (ii)
there exist incompressible subsets , for , with a witness for , such that and
[TABLE]
Proof.
(i)(ii): First, recall that (WIT) and (MIN) together imply that for all . Put and for all .
Since is a witness for and is a subset of for all by condition (MIN), remains a witness for . Moreover, for every we have . Hence
[TABLE]
as required.
(ii)(i): First note that the conditions on imply that
[TABLE]
In particular, if and then
[TABLE]
Take , noting that is a witness for . For each , since , Lemma 2.11 ensures any lifting of to some still has as a witness. This ensures that for all ; while for each , the inclusions in ( ‣ 3.2) yield . ∎
Proposition 3.6** (Reformulating ).**
Let be a union-closed set system, and let be a sequence in , with for all . The following are equivalent:
- (i)
there exist incompressible subsets for all , which satisfy the conditions (WIT) and (ORT) with respect to ; 2. (ii)
there exist incompressible subsets , for , with a witness for , such that and
[TABLE]
Proof.
(i)(ii): First, recall that (WIT) and (ORT) together imply that for all . Put and for all .
Since is a witness for and is a subset of for all by condition (ORT), remains a witness for . Moreover, for every we have . Hence
[TABLE]
as required.
(ii)(i): First note that the conditions on imply that
[TABLE]
In particular, if and then
[TABLE]
Take , noting that is a witness for . For each , Lemma 2.11 ensures that any lifting of to some still has as a witness. This ensures that for all ; while for each , the inclusions in ( ‣ 3.2) yield . ∎
4 Proof of the main theorem
The following definitions are motivated by the strategy outlined in Section 1.4. From this point onwards, for a set system , we abbreviate “union-closed with infinite breadth” to u.c.i.b.
Definition 4.1** (Obstacles).**
Let be u.c.i.b.
- •
We say is -blocked if so that , we have .
- •
We say is -blocked if so that and any witness for , we have .
The idea is that if a set system is -blocked then removing the join of any sufficiently large incompressible set will lead to a dead-end, while if it is -blocked then excluding any sufficiently large witness will also lead to a dead-end.
Lemma 4.2** (Being blocked passes to subprojections).**
Let be u.c.i.b. set systems on with . If is -blocked, then so is . If is -blocked, then so is .
Lemma 4.3** (Step towards the case).**
Let be u.c.i.b. If is -blocked but not -blocked, then
* with a witness , such that .*
Lemma 4.4** (Step towards the case).**
Let be u.c.i.b. If is -blocked and -blocked, then
* with a witness , such that .*
The proofs of these lemmas are deferred to the next section; they are not difficult, but the details would interrupt the flow of the argument. Taking these lemmas on trust for now, we use the concepts of -blocked and -blocked to define three natural conditions, each of which will ensure that a subprojection of the form , or may be constructed by “following one’s nose”.
Definition 4.5** (Conditions ensuring generation of , or ).**
Let be u.c.i.b.
- (i)
We say is -automatic if every u.c.i.b. is not -blocked. 2. (ii)
We say is -automatic if every u.c.i.b. is -blocked but not -blocked. 3. (iii)
We say is -automatic if it is -blocked and -blocked. (By Lemma 4.2, this is equivalent to requiring that every u.c.i.b. is -blocked and -blocked.)
Proposition 4.6** (Ensuring a subprojection which is -automatic).**
Let be u.c.i.b. Suppose is not -automatic. Then has a u.c.i.b. subprojection which is -automatic or one which is -automatic.
Proof.
Since is not -automatic, there exists some u.c.i.b. which is -blocked. Note that by Lemma 4.2 every subprojection of is also -blocked. Now, there are two cases to consider.
- •
Case 1: every u.c.i.b. is not -blocked. By the remark above, every such is also -blocked, and so in this case is -automatic with .
- •
Case 2: there is some u.c.i.b. which is -blocked. By the remark above, is also -blocked. So in this case, is -automatic with (by transitivity).
This completes the proof. ∎
Proposition 4.7** (Justifying Definition 4.5).**
Let be u.c.i.b., and let denote either , or . If is -automatic, then there exists as in Definition 1.3 such that .
Proof.
For this proof, we combine Lemma 4.3 and 4.4 with the “inductive reformulations” of , and . We go through each case in turn.
The case.
Suppose is -automatic. Put ; then we may inductively construct sequences and , such that the following properties hold.
- •
and ;
- •
is a witness for some incompressible ;
- •
has infinite breadth.
At each stage, ; so the existence of suitable and is guaranteed by the definition of -automaticity.
The recursive construction of yields . Hence, by the direction (ii)(i) in Proposition 3.4, together with Lemma 3.1, contains the configuration .
The case.
Suppose is -automatic. Put ; then we may inductively construct sequences and , such that the following properties hold.
- •
and ;
- •
is a witness for some incompressible ;
- •
has infinite breadth.
At each stage, ; so the existence of such and is guaranteed by Lemma 4.3.
To prove that contains , it suffices to show that and satisfy the conditions in Proposition 3.5(ii), for then we can apply that proposition together with Lemma 3.2. This will follow from the properties above and the following claim.
Claim:
for all .
The claim holds when , since
[TABLE]
Assume it holds for some ; then
[TABLE]
as required. (The third and fourth steps are justified by the inclusions in ( ‣ 3.2). Specifically, we can apply Lemma 2.3 because the inductive hypothesis ensures that ; and we also have .) By induction, the claim holds for all .
The case.
Suppose is -automatic. Put ; then we may inductively construct sequences and , such that the following properties hold.
- •
and ;
- •
is a witness for some incompressible ;
- •
has infinite breadth.
At each stage, ; so the existence of suitable and is guaranteed by Lemma 4.4.
To prove that contains , it suffices to show that and satisfy the conditions in Proposition 3.6(ii); for then we can apply that proposition together with Lemma 3.3. This will follow from the properties above and the following claim.
Claim:
for all .
The claim holds when , since
[TABLE]
Assume it holds for some ; then
[TABLE]
as required. (The third and fourth steps are justified by the inclusions in ( ‣ 3.2). Specifically, we can apply Lemma 2.3 because the inductive hypothesis ensures that ; and we also have .) By induction, the claim holds for all .
This completes the proof of the proposition. ∎
Putting everything together.
Combining Proposition 4.7 and Proposition 4.6, and using transitivity of again, we deduce that a u.c.i.b. set system always has a subprojection of the form , or .
Therefore, to complete the proof of Theorem 1.6, it remains only to prove Lemmas 4.2, 4.3 and 4.4. This will be dealt with in the next section.
5 Proofs of the technical lemmas
Proof of Lemma 4.2 (being blocked passes to subprojections).
First, let and be such that . Suppose is -blocked, and let be as in Definition 4.1. Let . By Lemma 2.11, any lifting of satisfies . Also, since , we have . It follows that
[TABLE]
Since taking subprojections cannot increase breadth (Proposition 1.5), and since is -blocked “at depth ”, it follows that . Since this holds for all , is -blocked.
Similarly, assume is -blocked, and let be as in Definition 4.1. Let and let be any witness for . By Lemma 2.11 any lifting of to some admits as a witness as well, and . Observe that
[TABLE]
where the second equality follows from Lemma 2.3(i) and the fact that . In particular, . Since taking subprojections cannot increase breadth, and since is -blocked “at depth ”, we have . Since this holds for any witness of any , is -blocked. ∎
Proof of Lemma 4.3 (step towards the case).
We start by fixing some such that for all . (Such a exists since is -blocked.)
Now, let . Since is not -blocked, there exists with a witness such that . Enumerate as and enumerate as , in such a way that for all ,.
For each , let and let . Then put and let . By the coarse-graining lemma (Lemma 2.12), with as a witness.
Since , we have , and so . On the other hand, since and , we have , and so for . Applying Lemma 2.13(ii) to and
[TABLE]
we conclude that . ∎
Proof of Lemma 4.4 (step towards the -case).
Fix such that:
[TABLE]
[TABLE]
(Such and exist by the assumption that is -blocked and -blocked.)
Now, let , and pick any . Enumerate as and pick a corresponding witness with the property that for all .
Let . For any note that either or (pigeon-hole principle); hence, either contains some -element subset of , or it is disjoint from some -element subset of . Hence, for any set system ,
[TABLE]
We apply this to . By the condition ( ‣ 5), we have for all -element subsets . (See Lemma 2.9(ii).) On the other hand, by assumption. Therefore, by Lemma 2.13(i) and the identity ( ‣ 5), we must have for some -element subset . Pick such an ; by relabelling if necessary, we may assume that
[TABLE]
Now let , for . Since is incompressible so are all its subsets (this follows from Lemma 2.9(ii)). Hence for each , ; and so, by the condition ( ‣ 5), . Moreover, if we put
[TABLE]
then is a witness for , by the coarse-graining lemma (Lemma 2.12).
Finally, while for each . Applying Lemma 2.13(ii) to and
[TABLE]
we conclude that . ∎
Acknowledgements
This work grew out of conversations between the authors while attending the conference “Banach Algebras and Applications”, held in Gothenburg, Sweden, July–August 2013, and was further developed while the authors were attending the thematic program “Abstract Harmonic Analysis, Banach and Operator Algebras” at the Fields Institute, Canada, during March–April 2014. The authors thank the organizers of these meetings for invitations to attend and for pleasant environments to discuss research.
The first author acknowledges the financial support of the Faculty of Science and Technology at Lancaster University, in the form of a travel grant to attend the latter meeting. The second author acknowledges financial support from the University of Delaware Research Foundation. The third author acknowledges the financial supports of a Fast Start Marsden Grant and of Victoria University of Wellington to attend these meetings.
The final write-up of this paper was completed during a visit of the first author in March 2020 to the University of Delaware. He thanks the Department of Mathematics and Statistics at Lancaster University for financial support through their Visitor Fund. He also thanks the Department of Mathematical Sciences at the University of Delaware for their hospitality. The second author also acknowledges support from National Science Foundation grant DMS-1902301 during the preparation of this article.
The authors thank two anonymous referees for their useful advice and corrections, which have led to significant improvements of the presentation of this paper.
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