Kříž and Thomas showed that every (finite or infinite) graph of tree-width admits a lean tree-decomposition of width . We discuss a number of counterexamples demonstrating the limits of possible generalisations of their result to arbitrary infinite tree-width. In particular, we construct a locally finite, planar, connected graph that has no lean tree-decomposition.
1 Introduction
1.1 Lean Tree-Decompositions
A cornerstone in both Robertson and Seymour's work [1] on well-quasi-ordering finite graphs, and in Thomas's result [2] that the class of infinite graphs of tree-width is well-quasi-ordered under the minor relation for all , is Kříž and Thomas's result on lean tree-decompositions. Recall that a tree-decomposition is lean if for every two (not necessarily distinct) nodes and sets of vertices and with , either contains pairwise disjoint – paths or there exists an edge whose corresponding adhesion set has size less than .
Theorem 1.1. ((Thomas [[3]] and Kříž and Thomas [[4]]))For every , every (finite or infinite) graph of tree-width has a lean tree-decomposition of width .
Is it possible to generalise Theorem 1.1 from finite to arbitrary infinite cardinalities? In the following, let be an infinite cardinal. A graph has tree-width if it admits a tree-decomposition of width , that is, one into parts of size . A graph of tree-width , that is, with a tree-decomposition into finite parts, is said to have finite tree-width. The following questions arise naturally:
i.
Does every graph of tree-width admit a lean tree-decomposition of width ? In particular, does every graph of finite tree-width admit a lean tree-decomposition into finite parts?
ii.
If not, does every infinite graph at least admit a lean tree-decomposition?
Note that even without the width restriction, Question (ii) remains nontrivial as the leanness-property has to be satisfied within each bag, which means that we cannot take the trivial tree-decomposition into a single part unless the graph is infinitely connected. Still, our main example shows that the answers to these questions are in the negative:
Example 1.There is a planar, locally finite, connected graph that admits no lean tree-decomposition.
Every locally finite, connected graph is countable, and thus has tree-width : given an arbitrary enumeration of a countable graph , assigning to each vertex of a ray the bag yields a ray- and thus also tree-decomposition of into finite parts. Hence, the graph from Example 1 witnesses that the answers to both questions (i) and (ii) are in the negative.
On the positive side, we provide in [5, Theorem 3] a sufficient criterion that guarantees the existence of a lean tree-decomposition into finite parts:
Theorem 1.2.Every graph without half-grid minor admits a lean tree-decomposition into finite parts.
Note that excluding the half-grid as a minor is sufficient but not necessary for the existence of lean tree-decompositions into finite parts: The countably infinite clique contains the half-grid even as a subgraph but also the above-described ray-decomposition of any given countable graph into finite parts is lean for .
As the graph from Example 1 is planar, it has no minor, and thus no minor. Hence, in terms of excluded minors, the gap between our positive result Theorem 1.2 and our negative result Example 1 is quite narrow. Nevertheless, it remains open to exactly characterise the graphs, which admit a lean tree-decomposition (into finite parts, or more generally, of width ).
1.2 Linked Tree-Decompositions
Since the answers to questions (i) and (ii) are in the negative, it is natural to ask what happens if we weaken the condition that the tree-decomposition be lean. One possible such weakening is suggested by the “linkedness”-property, which was extensively studied in [6, 7]: We say a tree-decomposition of a graph is
strongly linked if for every two nodes of , there are pairwise disjoint − paths in .
One may further weaken “strongly linked” by requiring the existence of disjoint − paths only between nodes that are “comparable”. For this, recall that given a tree rooted at a node , its tree-order is given by for nodes of if lies on the (unique) path from to . Thomas [2] defined a rooted tree-decomposition of a graph to be
linked if for every two comparable nodes of the rooted tree , there are pairwise disjoint − paths in .
These weakenings of the “leanness”-property are motivated by the fact that for the aforementioned applications of Theorem 1.1 by Robertson and Seymour [1] and by Thomas [2] it is only important that the rooted tree-decomposition is linked.
So what happens if we replace the condition lean in (i) and (ii) by strongly linked or linked? As the trivial tree-decomposition into a single part is always strongly linked, and thus every graph has a strongly linked tree-decomposition, only the weakened version of (i), but not of (ii), is interesting:
iii.
Does every graph of tree-width admit a strongly linked tree-decomposition of width ?
However, question (iii) is trivially true for all infinite cardinalities : By definition, every graph of tree-width admits a tree-decomposition of width . Choose an arbitrary root of . By assigning to each of the nodes of the bag , we obtain a (rooted) tree-decomposition of width that is strongly linked; albeit for the trivial reason that implies where is the -minimal node in .
But this tree-decomposition is not useful in practice, and so one would like to have some additional properties making the tree-decomposition less redundant. Especially linked rooted tree-decompositions into finite parts, which are additionally “tight” and “componental”, turned out to be a powerful tool (cf. [5, Sections 1.2–1.4] and [8]; see paragraph after Theorem 1.3 for more details). Given a rooted tree-decomposition of a graph and an edge of , we call the subgraph of induced on the part strictly above , where is the unique component of that does not contain the root of . Then, is
componental if all the parts strictly above edges are connected, and
tight if for every edge , there is some component of such that .
We remark that the above strongly linked (rooted) tree-decomposition is componental if was componental; but even if was tight, may no longer be tight.
The property tight ensures that the adhesion sets contain no “unnecessary” vertices. Any given componental rooted tree-decomposition can easily be transformed into a tight and componental rooted tree-decomposition by deleting for every edge of the nonneighbours of in from every with . While this construction obviously does not increase the width, it does not necessarily maintain the property (strongly) linked. So, it is natural to strengthen (iii) to ask whether there exists a tree-decomposition, which has all three properties:
iv.
Does every graph of tree-width admit a tight and componental rooted tree-decomposition of width that is strongly linked?
v.
If not, does every graph of tree-width admit a tight and componental rooted tree-decomposition of width that is at least linked?
The answer to Question (iv) is in the negative already for , as witnessed by the same graph that we constructed for Example 1:
Example 2.There is a planar, locally finite, connected graph, which admits no tight, componental rooted tree-decomposition into finite parts that is strongly linked.
Question (v), however, has an affirmative answer for [5, Theorem 1]:
Theorem 1.3.Every graph of finite tree-width admits a rooted tree-decomposition into finite parts that are linked, tight, and componental.
We remark that (v) remains open for uncountable cardinalities . If the answer is positive, one might, as a next step, also strengthen the notion of linked from just considering sizes to a structural notion that encapsulates the typical desired behaviour of infinite path families between two sets, as given by Menger's theorem for infinite graphs [9, Theorem 1.6] proven by Aharoni and Berger.
It turns out that linked rooted tree-decompositions into finite parts, which are additionally tight and componental, as given by Theorem 1.3, are particularly useful (cf. [5, Sections 1.2–1.4] and [8]): In [5, Section 3], we show that rooted tree-decompositions into finite parts, which are linked, tight, and componental display the end structure of the underlying graph. This not only resolves a question of Halin [10, Section 6] but also allows us to deduce from Theorem 1.3, by means of short and unified proofs, the characterisations due to Robertson, Seymour and Thomas of graphs without half-grid minor [11, Theorem 2.6], and of graphs without binary tree subdivision [12, (1.5)]. Also the proof of Theorem 1.2 in [5, Section 8] heavily relies on post-processing the tree-decomposition from Theorem 1.3. Besides these, there are more applications of rooted tree-decomposition into finite parts which are linked, tight, and componental in [5, Section 1.4] and [8].
In fact, we show in [5, Theorem 1′] a more detailed version of Theorem 1.3 which, among others, yields that the adhesion sets of the tree-decomposition intersect “not more than necessary”. We also give an example which proves that this property is best possible even for locally finite graphs (see Section 5 for details).
In light of Question (v) being true for , one may ask whether a similar modification could rescue (i) for : What happens if we relax the condition lean in (i) to a corresponding “rooted” version?
vi.
Does every graph of finite tree-width admit a rooted tree-decomposition into finite parts that satisfies the property of being lean for all comparable nodes of ?
However, the answer to this question is again in the negative, as there is a graph of finite tree-width such that all its tree-decompositions into finite parts violate the “leanness”-property within a single bag:
Example 3.There is a countable graph such that every tree-decomposition of into finite parts has a bag , which violates the property of being lean for .
We remark that we do not know whether every tree-decomposition, which satisfies the “leanness”-property for every two comparable nodes, must already be lean.
1.3 How This Paper Is Organised
In Section 2, we recall some important definitions and facts about ends and their interplay with tree-decompositions. In Section 3, we prove Examples 1 and 2, and in Section 4, we prove Example 3. Finally, in Section 5, we discuss whether it is possible to strengthen Theorem 1.3 so that the adhesion sets of the tree-decomposition are “upwards” disjoint.
2 Preliminaries
We refer the reader to [5, Section 2] for all the relevant definitions. Besides that, our notation and definitions follow [13]. In particular, the neighbourhood of a set of vertices in a graph is the set of all vertices in that are neighbours of some . For the convenience of the reader, we recall the ones that are most important in this paper.
Let be a rooted tree-decomposition of a graph . Given an edge of with , we let be the component of containing for . We abbreviate the sides of its induced separation by and . Further, we write and . It is easy to see that , and for every two edges with and also for every rooted ray in .
An end of a graph is an equivalence class of rays in where two rays are equivalent if for every finite set they have a tail in the same component of . We refer to this component of as . Write for the set of all ends of . Note that for every end of and every set of vertices of , which meets every -ray at most finitely often, there is a unique component of that contains a tail of every -ray. We refer to this component as , which coincides with the above definition for finite .
A vertex of dominates an end of if it lies in for every finite set of vertices other than . We remark that locally finite graphs have no dominating vertices. We denote the set of all vertices of , which dominate an end by . The degree of an end of is the supremum over all cardinals such that there exists a set of pairwise disjoint rays in , and its combined degree is .
Given a rooted tree-decomposition of , an end of gives rise to a rooted ray in if every -ray meets every bag with at most finitely often, and for every with , we have .1 Note that if such a ray exists, then it is unique, and we denote it by . Moreover, if every ray in an end of meets every bag of a tree-decomposition at most finitely often, then gives rise to a ray in . If the bags of a rooted tree-decomposition meet all rays in at most finitely often, the above yields a map . Such a rooted tree-decomposition
displays all dominating vertices if 2 for all , and
displays all combined degrees if for all .
Moreover, we recall the following lemma [5, Lemma 3.3]:
Lemma 2.1.Let be a linked rooted tree-decomposition of a graph , which has finite adhesion. Suppose that an end of gives rise to a ray in , which arises from no other end of and that . Then, .
The following lemma follows immediately from [5, Lemmas 3.1–3.3]:
Lemma 2.2.Let be a rooted tree-decomposition of a graph , which has finite adhesion and which is linked, tight, and componental. Then, displays all ends of , their dominating vertices, and their combined degrees.
3 Examples 1 and 2—Negative Answers to Questions (i), (ii) and (iv)
In this section, we explain Examples 1 and 2, which we restate here for convenience:
Example 1.There is a planar, locally finite, connected graph that admits no lean tree-decomposition.
Example 2.There is a planar, locally finite, connected graph, which admits no tight, componental rooted tree-decomposition into finite parts that are strongly linked.
Depicted is the graph from Construction 3.1. The subgraph induced by the orange edges is together with the extensions of its horizontal rays. [Color figure can be viewed at wileyonlinelibrary.com]
Depicted is the situation in the proof of Lemma 3.2 for . [Color figure can be viewed at wileyonlinelibrary.com]
For our proofs of Examples 1 and 2, we construct a graph in Construction 3.1 and then show that is already as desired for both Examples 1 and 2. The graph in this construction is inspired by [15, Example 7.4].3
Construction 3.1.Let be the graph depicted in Figure 1. Formally, let be the graph on the vertex set and with edges between and , between and , and also between and for (this is the black subgraph in Figure 1). Note that has a unique end, which we denote by .
For every , let be a grid with rows and infinitely many columns. Then, is one-ended and its end has degree . Now the graph is obtained from by deleting for every the edge of , identifying the vertices of with the respective vertices and of , and by extending the horizontal rays in , as indicated in Figure 1. In particular, the extended horizontal rays of each are still disjoint and their initial vertices are precisely . To get a graph that is not only locally finite but also planar, we subdivide the edges between and with in to obtain the extended rays. For later use, we refer to the vertex set in as the th column of (indicated in pink in Figure 1 is the first column of ) and also set
for all (indicated in purple in Figure 2). This completes the construction.
In the remainder of this section, we prove that graph from Construction 3.1 is as desired for Examples 1 and 2. For this, we first show two auxiliary lemmas. The first says that does not admit a tree-decomposition, which “efficiently distinguishes” all ends of . Recall that in a tree-decomposition of every edge of induces a separation as follows: For , write for the component of that contains . Then, is a separation of [13, Lemma 12.3.1]. A separation of efficiently distinguishes two ends of if and live in components of on different sides of , and there is no separation of of smaller order with this property. A tree-decomposition distinguishes two ends of efficiently if some edge of induces a separation, which efficiently distinguishes and .
Lemma 3.2.Let be a tree-decomposition of the graph from Construction 3.1. Then, there exists such that does not efficiently distinguish and .
Proof.Suppose towards a contradiction that admits a tree-decomposition such that, for every end of , there exists an edge such that the separation induced by distinguishes and efficiently. Then, has a size at most as witnessed by (indicated in purple in Figure 2). By the definition of , there are in fact disjoint − double rays in (indicated in orange in Figure 2), so every sizewise-minimal − separator, and in particular , has to meet each precisely once. In particular, and hence for all . Moreover, avoids the -ray (indicated in blue in Figure 2) and the vertex , as they are both disjoint from all the − double rays . Thus, has a component that contains and a component that contains . In particular, lives in . Since there is an -ray (indicated in green in Figure 2), which starts in and is disjoint from the lives in . As separates and , we have . Thus, and lie on different sides of the separation induced by .
Let and be some bags of , which contain and , respectively. Since the separations induced by every separate and , all the infinitely many distinct edges lie on the finite path , which is a contradiction.
The next lemma essentially says that every tree-decomposition of that displays all ends of and their combined degrees cannot be strongly linked.
Lemma 3.3.Let be a rooted tree-decomposition of the graph from Construction 3.1. Suppose that every end of gives rise to a rooted ray in with and . Then, is not strongly linked.
Proof.Suppose towards a contradiction that is strongly linked. Let be arbitrary. We write for the rooted ray in , which arose from . Since is a tree-decomposition, for every ray of , we have , and thus for every finite vertex set of , all but finitely many edges of have the property that avoids . In particular, for all but finitely many edges of , the part avoids the first and second column of . As , we may choose such an edge so that and every later edge on satisfies . Since avoids the first column of , the component of in which lives is contained in .
We claim that contains all but finitely many vertices of , and . Indeed, the rows of are pairwise disjoint -rays. Since lives in , the component contains a tail of each row of . As the rows of cover the entire , the part contains all but finitely many vertices of . Since avoids the first column of , its neighbourhood contains at least one vertex of each row. Since there are rows, we have , and thus, .
As and is connected, is connected. It follows that is a subgraph of and avoids the first column of , since meets and avoids the first and second column of .
Let be the component of that contains (where is the set indicated in purple in Figure 2). We claim that there is an edge of the rooted ray in , which arose from , such that and such that avoids . For this, we note that the rays are distinct from , since is finite but is infinite. Hence, we may choose a tail of that avoids all rays for . Since all and also are rooted at the same vertex of , every edge of satisfies . As contains all but finitely many vertices of for , the set is finite. Since is a tree-decomposition, for all but finitely many edges of , the part avoids and hence . Note that, for each edge of , its adhesion set avoids for every . Since and is finite, for all but finitely many edges of , the adhesion set avoids the finite set . Thus, for all but finitely many edges of , the part avoids . Finally, since is infinite, we may choose an edge of so that avoids and .
Recall that the adhesion set is contained in but avoids the first column of , and thus, . Since also , there are at most pairwise disjoint − paths in , as witnessed by . As is strongly linked by assumption, there is an edge on the unique − path in such that . Moreover, separates and , and thus also and . By the definition of , there are in fact disjoint − double rays in (indicated in orange in Figure 2), and hence, the separation induced by efficiently distinguishes and . Since was chosen arbitrarily, Lemma 3.2 yields the desired contradiction.
Proof of Example 2.The graph from Construction 3.1 is planar, locally finite, and connected. By Lemma 2.2, every linked, tight, componental rooted tree-decomposition of into finite parts displays all the ends of , their dominating vertices, and their (combined) degrees. Thus, Lemma 3.3 ensures that those tree-decompositions are not strongly linked.
We now turn to our proof of Example 1, that is, that graph from Construction 3.1 does not admit a lean tree-decomposition. The proof consists of two steps. First, we show in Lemma 3.6 that does not admit a lean tree-decomposition into finite parts. Then, we show in Lemma 3.7 that neither admits a lean tree-decomposition that has an infinite part.
By definition, every lean tree-decomposition is in particular strongly linked. For the first step, it remains to show that every lean tree-decomposition of into finite parts satisfies the premise of Lemma 3.3: it displays all ends of and their combined degrees, up to the fact that maybe some rays of the decomposition tree do not arise from an end of . In fact, the following Lemma 3.5 together with Lemma 2.1 implies that this holds true for all graphs and lean tree-decompositions of them.
To prove Lemma 3.5, we first show that even though lean tree-decompositions may not be componental, they are not far away from it.
Lemma 3.4.Let be a rooted tree-decomposition of finite adhesion of a graph . Suppose there is an edge with and a set such that has at least two components . Suppose further that and . Then, is not lean.
Proof.By assumption, we may pick vertices and . Set and . By construction, . Since is lean and , there is a family of disjoint − paths in . Note that every path in that starts in is a trivial path. Hence, there is a path that starts in and ends in . But is separated from by . This contradicts that the paths in are pairwise disjoint.
Lemma 3.5.Let be a rooted tree-decomposition of a graph into finite parts, which is lean as an unrooted tree-decomposition. Then, every ray in arises from at most one end of . Moreover, if a ray in arises from an end of , then .
Proof.For the first assertion, suppose towards a contradiction that there are two distinct ends of that give rise to the same rooted ray of . As are distinct, there is a finite set of vertices of such that live in distinct components of .
Now pick a vertex . Since is a tree-decomposition, , and thus all but finitely many edges of have the property that contains the finite set . As gives rise to and lives in , there is an edge on with such that and is nonempty. Note that is nonempty as is connected and meets both (in the vertex ) and (as gives rise to and lives in ). Set and, for , let be a component of , which contains a vertex from or , respectively. Then, are as in Lemma 3.4. It follows that is not lean, which is a contradiction.
To show the moreover statement, let be an end of that gives rise to a ray in . Now suppose towards a contradiction that there is a vertex that does not dominate . Then, there is a finite set and distinct components of such that and live in .
As above, there is an edge on with such that contains and is nonempty. Since also lies in , we have , and thus, is nonempty. As above, we obtain a contradiction by applying Lemma 3.4.
Lemma 3.6.The graph from Construction 3.1 admits no lean tree-decomposition into finite parts.
Proof.Suppose towards a contradiction that admits a lean tree-decomposition into finite parts. It follows from Lemma 3.5 that every end of gives rise to a ray in which arises from no other end of . Moreover, we have , as locally finite graphs have no dominating vertices. So since is lean and hence strongly linked, Lemma 2.1 implies that (because is locally finite). Thus, by Lemma 3.3, is not strongly linked, which is a contradiction.
For the proof of Example 1 it remains to show that the graph from Construction 3.1 neither admits a lean tree-decomposition with possibly infinite parts.
Lemma 3.7.The graph from Construction 3.1 admits no lean tree-decomposition.
Proof.Suppose for a contradiction that has a lean tree-decomposition . Let be rooted in an arbitrary node. We first show that every end gives rise to a ray in , that is, every bag of meets every -ray at most finitely often. For this, it suffices to show that every bag meets at most finitely often. Let be given, and suppose there is a bag that contains infinitely many vertices of . Then, let be a set of vertices of , and let such that is contained in the first columns of . Now let be a set of vertices of that avoids the first columns of . Since the th column of has size and separates and , this contradicts that is lean.
Hence, each -ray meets every bag of at most finitely often, which implies that gives rise to a ray in . In particular, then, there exists a node of such that meets every row of : If not, then every bag of avoids some row of . In fact, since gives rise to and thus every meets every row that meets for some node of , all with avoid the same row of . Since gives rise to , it follows that this row is contained in for all edges of , which contradicts that is a tree-decomposition. Hence, there is a node of such that meets every row of . Let be a set consisting of precisely one vertex of each row of . In particular, has size and is linked to .
Since admits no lean tree-decomposition into finite parts by Lemma 3.6, contains an infinite bag . As shown above, contains at most finitely many vertices of each . Hence, for every , the bag contains infinitely many vertices of . Let consist of vertices of . Since is locally finite and connected, it follows from the Star-Comb Lemma [13, Lemma 8.2.2] that there is a comb in with teeth in . Recall that the comb is the union of a ray , its spine, and infinitely many disjoint (possibly trivial) paths with precisely their first vertex in and their last vertex in . As is finite for all , the spine of is an -ray.
Since and , there are at most pairwise disjoint − paths in , as witnessed by (indicated in purple in Figure 2). As is lean by assumption, there is an edge on the unique − path in such that . Moreover, separates and . We claim that also separates and . Indeed, since has teeth in , the component of in which lives meets . Because is linked to and , the component of in which lives meets . Since separates and , the components and are distinct, that is, separates and . By the definition of , there are disjoint − double rays in , and hence, the separation induced by distinguishes and efficiently. Now Lemma 3.2 yields the desired contradiction.
Proof of Example 1.The graph from Construction 3.1 is planar, locally finite, and connected. The assertion thus follows from Lemma 3.7.
4 Example 3—Negative Answer to Question (vi)
In this section, we construct Example 3, which we restate here for convenience:
Example 3.There is a countable graph such that every tree-decomposition of into finite parts has a bag , which violates the property of being lean for .
Depicted is the graph and the set in purple from Example 3. Indicated in blue is the ray that contains the vertex and indicated in green is the path that contains the vertex in the case . [Color figure can be viewed at wileyonlinelibrary.com]
The graph in this example is essentially the same as [14, Example 3.7].
Proof.Let be the grid, that is, , and there is an edge in between and whenever . For every , let (see Figure 3). Now the graph is obtained from by making the sets complete. We claim that is as desired.
Let be a rooted tree-decomposition of into finite parts. Let be the rooted ray arising from the unique end of . Since is a tree-decomposition, we have , and hence, there is an edge of such that . As gives rise to , the ray through the bottom row has a tail in , that is, there is such that for all . Since is complete, it follows that for all .
Next, observe that there is an edge of such that . Now let with be the -minimal edge of such that there exists with . Note that is a candidate for , and observe that . Let be maximal such that ; in particular, . To see that this maximum exists, note that the ray has a tail in , and hence, there is such that for all . Thus, .
By the choice of and , we have , as is complete. Hence, as separates and , it follows that . Moreover, as by the choice of , and because gives rise to , the ray meets in a vertex . Similarly, the path meets in a vertex where is the unique down-edge at . Indeed, we have by the choice of and : if was contained in , then since is complete in , which contradicts the -minimal choice of .
We now let and define and . By construction, we have and . Hence, violates the property of being lean for since separates and and hence witnesses that contains at most disjoint − paths.
5 Upwards Disjointness of Adhesion Sets
As mentioned in the introduction, we show in [5, Theorem 1′] a more detailed version of Theorem 1.3, which, among others, yields that the adhesion sets of the tree-decomposition intersect “not more than necessary”:
Theorem 5.1.Every graph of finite tree-width admits a rooted tree-decomposition into finite parts that are linked, tight, and componental. Moreover, we may assume that
1.
for every with , each vertex of either dominates some end of that lives in or is contained in a critical vertex4 set of that is included in .
Halin [16, Theorem 2] showed that every locally finite, connected graph has a linked ray-decomposition5 into finite parts with disjoint adhesion sets. He used this result in [10, Satz 10] to establish Theorem 5.1 for locally finite graphs with at most two ends, replacing (1)with the stronger condition of having disjoint adhesion sets. In light of this, we discuss here that (1) describes how close one may come to having “disjoint adhesion sets” in the general case.
If is not locally finite, we generally cannot require the tree-decomposition in Theorem 1.3 to have disjoint adhesion sets while having finite parts, as every dominating vertex of an end will be eventually contained in all adhesion sets along the ray of , which arises from . Moreover, as every critical vertex set has to lie in an adhesion set of any tree-decomposition into finite parts, and since the tree-decomposition is linked, one can easily check that the adhesion sets also intersect in critical vertex sets. Thus, one might hope to obtain a tree-decomposition as in Theorem 1.3 that satisfies the following condition:
1′.
for every , each vertex of either dominates some end of that lives in or is contained in a critical vertex set of that is included in .
But (1) allows for more than (1′): If and , then and are allowed to intersect also in vertices that do not dominate an end and that are not contained in a critical vertex set. The following example shows that allowing this is in fact necessary. It presents a locally finite graph that does not admit a tree-decomposition as in Theorem 1.3 with (1′), the stronger version of (1). As locally finite graphs do not have any dominating vertices and critical vertex sets, (1′) boils down to the property that the tree-decomposition has upwards disjoint adhesion sets, that is, for every .
Example 5.2.There is a locally finite connected graph , which does not admit a linked, tight, componental rooted tree-decomposition into finite parts with upwards disjoint adhesion sets, that is, one which satisfies (1′).
Depicted is the graph from Example 5.2. The blue subgraph is induced by the vertices of with . The green subgraphs are induced by the vertices of with for , respectively. [Color figure can be viewed at wileyonlinelibrary.com]
A ray in that meets all the sets . The end to which it belongs has degree 2. [Color figure can be viewed at wileyonlinelibrary.com]
Proof.Let denote the set of all sequences with values in that are eventually zero. Let be the set of all the sequences for which there exists such that for all and for all .6 Let be the graph depicted in Figure 4, that is, the graph on the vertex set
and with edges between and whenever and, for and , with edges between and and between and whenever and for all . Intuitively, a sequence such as encodes the specific grid that one encounters when following along the (blue) grid, then turning after 3 steps into the (green) grid, then turning after another 2 steps into the (black) grid, and finally turning after another 3 steps into the grid (not depicted). Note that is locally finite and connected.
By Lemma 2.2, every linked, tight, componental rooted tree-decomposition of into finite parts displays all the ends of and their (combined) degrees. Thus, it suffices to show that has no rooted tree-decomposition with upwards disjoint adhesion sets, which displays all its ends and their (combined) degrees. Let be a tree-decomposition of , which displays all ends of and their (combined) degrees. Consider the rays for all with . Then, for every fixed , the rays all belong to the same end of ; and these ends are pairwise distinct and have (combined) degree 3. Since displays all ends of and their (combined) degrees, there exist for each infinitely many edges of such that has size three and meets every ray ; we fix for each end one such edge . Let be the (unique) vertex in (see Figure 5).
Set and where . Then, the define a (unique) end of , in that every ray that meets all the belongs to the same end . This end has degree 2 as witnessed by the sets (see Figure 5).
Now since displays the (combined) degree of , and because the sets are the only separators witnessing that has degree 2, there is an edge with for some . But since every such meets the set , the tree-decomposition does not have upwards disjoint separators.
This example might explain why Halin never extended his result [10, Satz 10] mentioned above to graphs with more than two ends: His precursor notion to a tree-decomposition, namely, the quasitrees and pseudotrees discussed in [17], required upwards disjoint separators and hence could not possibly capture the types of locally finite graphs described in Example 5.2.
Acknowledgements
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Endnotes
1 We remark that this definition extends the one given in [5, Section 2.2] to a larger class of tree-decompositions which do not necessarily have finite adhesion.
2 The set-theoretic consists of all points that are contained in all but finitely many . For a ray in , one gets .
3 The example is only presented in the arXiv version of [15].
4 A set of vertices of is critical if infinitely many components of have neighbourhood in .
5 A ray-decomposition is a tree-decomposition whose decomposition tree is a ray.
6 We restrict to the set instead of to ensure that is connected.
2R. Thomas, “Well-Quasi-Ordering Infinite Graphs With Forbidden Finite Planar Minor,” Transactions of the American Mathematical Society312, no. 1 (1989): 279–313.
4I. Kříž and R. Thomas, “The Menger-Like Property of the Tree-Width of Infinite Graphs,” Journal of Combinatorial Theory, Series B52, no. 1 (1991): 86–91.
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