Graphs of bounded depth-$2$ rank-brittleness
O-joung Kwon, Sang-il Oum

TL;DR
This paper characterizes certain graph classes closed under vertex-minors, using a tree-based measure called depth-2 rank-brittleness, and shows large values imply the presence of specific subgraphs as vertex-minors.
Contribution
It introduces the concept of depth-2 rank-brittleness and provides a characterization linking it to forbidden subgraphs and vertex-minors.
Findings
Graphs with large depth-2 rank-brittleness contain specific subgraphs as vertex-minors.
The characterization involves a tree of radius 2 with leaves labeled by graph vertices.
The measure of width is based on maximum cut-rank induced by splitting internal nodes.
Abstract
We characterize classes of graphs closed under taking vertex-minors and having no and no disjoint union of copies of the -subdivision of for some . Our characterization is described in terms of a tree of radius whose leaves are labelled by the vertices of a graph , and the width is measured by the maximum possible cut-rank of a partition of induced by splitting an internal node of the tree to make two components. The minimum width possible is called the depth- rank-brittleness of . We prove that for all , every graph with sufficiently large depth- rank-brittleness contains or disjoint union of copies of the -subdivision of as a vertex-minor.
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Graphs of bounded depth- rank-brittleness
O-joung Kwon Supported by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Education (No. NRF-2018R1D1A1B07050294). Department of Mathematics, Incheon National University, Incheon, Korea
Discrete Mathematics Group, Institute for Basic Science (IBS), Daejeon, Korea
Sang-il Oum Supported by IBS-R029-C1. Discrete Mathematics Group, Institute for Basic Science (IBS), Daejeon, Korea
Department of Mathematical Sciences, KAIST, Daejeon, Korea
Abstract
We characterize classes of graphs closed under taking vertex-minors and having no and no disjoint union of copies of the -subdivision of for some . Our characterization is described in terms of a tree of radius whose leaves are labelled by the vertices of a graph , and the width is measured by the maximum possible cut-rank of a partition of induced by splitting an internal node of the tree to make two components. The minimum width possible is called the depth- rank-brittleness of . We prove that for all , every graph with sufficiently large depth- rank-brittleness contains or disjoint union of copies of the -subdivision of as a vertex-minor.
1 Introduction
Tree-depth is a graph parameter in the theory of sparse graph classes, which measures how far a graph is from being a star, introduced by Nešetřil and Ossona de Mendez [19]. An equivalent concept has been introduced a few times under the names like the vertex ranking number and the minimum height elemination tree [3, 5, 25]. It is known that a graph has large tree-depth if and only if it has a long path, see [20, Section 6.2].
For some applications, it is desirable to say that complete graphs are also very similar to stars. However, complete graphs have unbounded tree-depth. To design a graph parameter similar to tree-depth but more suitable for dense graph classes, DeVos, Kwon, and Oum [6] introduced the rank-depth of a graph. Roughly speaking, the rank-depth of a graph is defined in terms of a decomposition, which is a tree whose leaves are labelled by the vertices of . A decomposition has two qualities, one of which is the radius of the tree, and the other is the maximum width of internal nodes, measured by some connectivity function of . The rank-depth of a graph is defined as the minimum integer such that admits a decomposition of radius at most and width at most . The detailed definition of rank-depth will be reviewed in Section 2. In fact, there was an equivalent concept called the shrub-depth of classes of graphs, introduced by Ganian, Hliněný, Nešetřil, Obdržálek, Ossona de Mendez, and Ramadurai [11, 12]. The definition of shrub-depth uses logical terms similar to the definition of clique-width [4], while the definition of rank-depth uses a tree-like decomposition similar to that of rank-width [24]. DeVos, Kwon, and Oum [6] showed that a class of graphs has bounded rank-depth if and only if it has bounded shrub-depth.
Hliněný, Kwon, Obdržálek, and Ordyniak [14] proposed the following conjecture, which we state in terms of rank-depth. To state their conjecture, we first introduce vertex-minors. The local complementation at a vertex of a graph is an operation to obtain a new graph from by removing all edges between two adjacent pairs , of neighbors of and adding edges for all non-adjacent pairs , of neighbors of . A graph is a vertex-minor of a graph if can be obtained from by a sequence of local complementations and vertex deletions. It is known that the rank-depth of a vertex-minor of is at most the rank-depth of and so it is natural to think of an obstruction for graphs of bounded rank-depth in terms of vertex-minors. The following conjecture states that paths are obstructions for having bounded rank-depth. This conjecture was verified for graphs of rank-width by Novotný [21, Theorem 6.3.2].
Conjecture 1.1** (Hliněný, Kwon, Obdržálek, and Ordyniak [14]).**
A class of graphs has bounded rank-depth if and only if there exists an integer such that no graph contains a path of length as a vertex-minor.
As a step towards Conjecture 1.1, we define a new parameter called depth- rank-brittleness for an integer by restricting the radius of the tree in the decomposition to be at most in the definition of rank-depth. The depth- rank-brittleness of a graph is the minimum integer such that admits a decomposition of radius at most and width at most . We denote this parameter by . By definition, the rank-depth of a graph is at most for all and
[TABLE]
In Section 6, we will show that a graph of rank-depth has linear rank-width at most .
A class of graphs is a vertex-minor ideal if for every graph , contains all graphs isomorphic to vertex-minors of . For a graph , we write for the disjoint union of copies of . It is straightforward to deduce the following proposition by using Ramsey-type results. To see this, one can use Theorem 2.3, Ramsey’s theorem, and Lemma 2.2. It can be also seen as a special case of a theorem due to Kwon and Oum [18, Theorem 1.4], which is stated in Theorem 4.2.
Proposition 1.2**.**
A vertex-minor ideal has bounded depth- rank-brittleness if and only if .
In this paper, we characterize classes of graphs of bounded depth- rank-brittleness in terms of forbidden vertex-minors. Let be the -subdivision of , see Figure 1. Here is our main theorem.
Theorem 1.3**.**
A vertex-minor ideal has bounded depth- rank-brittleness if and only if
[TABLE]
Since contains if , we obtain the following corollary, confirming a weaker statement of Conjecture 1.1.
Corollary 1.4**.**
For every positive integer , graphs with no vertex-minors isomorphic to have bounded depth- rank-brittleness, bounded rank-depth, and bounded linear rank-width.
We sketch the proof of Theorem 1.3. It is straightforward to show that and have large depth- rank-brittleness. We mainly show that for every fixed , if a graph has sufficiently large depth- rank-brittleness, then it has a vertex-minor isomorphic to or . A theorem of Kwon and Oum [18, Theorem 1.4] will imply that every graph of large depth- rank-brittleness has a vertex-minor isomorphic to for large and . By taking a graph locally equivalent to , we may assume that has an induced subgraph isomorphic to .
In Section 3, we prove that if a graph contains pairwise twins, then one of them can be removed without decreasing the depth- rank-brittleness. Using that, each component of can be partitioned into at least sets such that vertices in distinct sets are not twins. By the Ramsey-type result on bipartite graphs, we will extract a large (induced) matching or an anti-matching or a half graph between and the rest. We find this for each component of . Then using the sunflower lemma and Ramsey’s theorem, we will clean up all the structures and find a vertex-minor isomorphic to or . Section 4 is devoted to describe all the intermediate structures. The proof of Theorem 1.3 is given in Section 5. Section 6 shows an inequality between linear rank-width and rank-depth and presents a corollary of Theorem 1.3 for graphs with no vertex-minors isomorphic to .
2 Preliminaries
All graphs in this paper are simple and undirected. For a graph , we denote by and the vertex set and the edge set of , respectively. Let be a graph. For , we denote by the subgraph of induced by , and for two disjoint vertex subsets and of , we denote by the bipartite graph with bipartition such that for and , are adjacent in if and only if they are adjacent in . For , we denote by the graph obtained from by removing and all edges incident with . For a set of vertices, we denote by the graph obtained from by deleting all vertices in and all edges incident with those vertices. For , the set of neighbors of in is denoted by , and the degree of is the size of . We denote by the adjacency matrix of .
For two disjoint vertex subsets and of , we say that is complete to if every vertex in is adjacent to all vertices in . Similarly, is anti-complete to , if every vertex in is non-adjacent to all vertices in . A clique is a set of pairwise adjacent vertices and an independent set is a set of pairwise non-adjacent vertices.
Two vertices and in a graph are called twins if . Note that a set of pairwise twins is either a clique or an independent set.
Let denote the complete graph on vertices, and let denote the star with leaves. Let denote the path on vertices. For a graph , we denote by the complement of , that is, two vertices and in are adjacent if and only if they are not adjacent in .
We write to denote the minimum number such that every coloring of the edges of into colors induces a monochromatic complete subgraph on vertices. The classical theorem of Ramsey implies that exists.
We also use the sunflower lemma. Let be a family of sets. A subset of is a sunflower with core (possibly an empty set) and petals if for all distinct , .
Theorem 2.1** (Sunflower Lemma [9, Erdős and Rado]).**
Let and be positive integers, and be a family of sets each of cardinality . If , then contains a sunflower with petals.
2.1 Vertex-minors
For a vertex in a graph , to perform local complementation at , replace the subgraph of induced on by its complement graph. We write to denote the graph obtained from by applying local complementation at . Two graphs and are locally equivalent if can be obtained from by a sequence of local complementations. A graph is a vertex-minor of a graph if is an induced subgraph of a graph which is locally equivalent to .
2.2 Rank-depth and rank-brittleness
The cut-rank function of a graph , denoted by for a subset of , is defined as the rank of an [math]- matrix over the binary field whose -entry for , is if , are adjacent and [math] otherwise. The cut-rank function is invariant under the local complementation, see Oum [22]. The cut-rank function satisfies the submodular inequality, that is, for all , . The -width of a partition of , for some , is
[TABLE]
A decomposition of a graph is a pair of a tree with at least one internal node and a bijection from to the set of leaves of . The radius of a decomposition is defined to be the radius of the tree . For an internal node , the components of the graph give rise to a partition of by and the width of is defined to be the -width of . The width of the decomposition is the maximum width of an internal node of . We say that a decomposition is a -decomposition of if the width is at most and the radius is at most . The rank-depth of a graph , denoted by , is the minimum integer such that admits a -decomposition. If , then there exists no decomposition and rank-depth is defined to be [math]. Note that every tree in a decomposition has radius at least and therefore the rank-depth of a graph is at least if .
The depth- rank-brittleness of a graph , denoted by , is the minimum integer such that admits a -decomposition. If , then we define . Note that the depth- rank-brittleness of a graph is equal to .
2.3 Constructions of common graphs
For two graphs and on the disjoint vertex sets, each having vertices, we would like to introduce operations to construct graphs on vertices by making the disjoint union of them and adding some edges between two graphs. Roughly speaking, will add a perfect matching, will add the complement of a perfect matching, and will add a half graph. Formally, for two -vertex graphs and with fixed ordering on the vertex sets and respectively, let , , be graphs on the vertex set whose subgraph induced by or is or , respectively such that for all ,
- (i)
if and only if , 2. (ii)
if and only if , 3. (iii)
if and only if .
See Figure 2 for illustrations of , , and .
We will use the following lemma. Similar lemmas appeared in [17, Lemma 2.8], [14, Proposition 6.2], and [16, Lemma 5.6].
Lemma 2.2** (Kwon and Oum [18, Lemma 6.5]).**
Let be a positive integer.
- (1)
* is locally equivalent to .* 2. (2)
* is locally equivalent to .* 3. (3)
If , then has a vertex-minor isomorphic to .
We also use the Ramsey-type result on bipartite graphs without twins.
Theorem 2.3** **(Ding, Oporowski, Oxley, and
Vertigan [8]).
For every positive integer , there exists an integer such that for every bipartite graph with a bipartition , if no two vertices in have the same set of neighbors and , then and have -element subsets and , respectively, such that is isomorphic to , , or .
For a positive integer , a matrix , and a binary operator on two graphs of the same number of vertices, we define as the graph on the disjoint union of copies of such that for all ,
- (i)
the -th copy of is complete to the -th copy of if and anti-complete if , 2. (ii)
the -th copy of is complete to the -th copy of if , and anti-complete if , 3. (iii)
the -th copy of is complete to the -th copy of if , and anti-complete if , 4. (iv)
the -th copy of is complete to the -th copy of if , and anti-complete if .
See Figure 3 for an illustration.
3 Lemma on three twins
In this section, we prove that if a graph has three pairwise twins, then one of them can be removed without decreasing its depth- rank-brittleness for . It holds for all but we will only use it for later.
Lemma 3.1**.**
Let be an integer. Let , , be vertices of a graph that are pairwise twins. Then .
Proof.
The inequality is trivial by definition. We will show that if has a -decomposition , then also has a -decomposition.
Let be a node of , called a root of , which has distance at most to every node of . We may assume that is not a leaf node. Let be the leaf of with and be the parent of in , which is the unique neighbor of in . We obtain a decomposition of as follows: is the tree obtained from by adding a new node adjacent to , and assign and for all . We claim that is a -decomposition of . Clearly, has radius at most . So, it is sufficient to show that every internal node of has width at most . For each internal node of , let be the partition of derived from the components of by .
For an internal node in , the width of in is the same as its width in the decomposition because and are twins of and and lie on the same part of .
We claim that the width of in is at most . Let and . In the bipartition , if is contained in a part together with or , then the bipartition obtained by removing arises in the decomposition as well. So, without loss of generality, we may assume that and . But in this case, as are pairwise twins, the bipartition obtained by exchanging and has the same cut-rank. As is a single-vertex part of , the bipartition arises in the decomposition . So,
[TABLE]
We conclude that the width of every internal node of is at most . ∎
4 Reducing to two cases
We recall the definition of rank -brittleness [18]. The rank -brittleness of a graph , denoted by , is the minimum -width of all partitions of into parts of size at most .
Lemma 4.1**.**
* for every positive integer .*
Proof.
Suppose that is a partition of whose -width is . We create a decomposition of as follows. Let be the root of , and let be the children of , and each has exactly leaves adjacent to , and we assign to these leaves by . It is easy to see that each has width at most , and the root has width at most . Thus, . ∎
Kwon and Oum [18] proved the following.
Theorem 4.2** (Kwon and Oum [18, Theorem 1.4]).**
For every positive integer , there exists such that every graph with contains a vertex-minor isomorphic to for some connected graph on vertices.
Every large connected graph has a long induced path or a vertex of large degree.
Proposition 4.3** (See Diestel [7, Proposition 1.3.3]).**
For integers and , every connected graph on at least vertices contains a vertex of degree at least or an induced path on vertices.
As a corollary we deduce the following. Essentially its proof is almost identical to the proof of [18, Theorem 1.6].
Corollary 4.4**.**
For all positive integers and , there exists such that every graph with depth- rank-brittleness at least has a vertex-minor isomorphic to .
Proof.
We may assume that by increasing if necessary. Let
[TABLE]
By Proposition 4.3, every connected graph with at least vertices has a vertex of degree at least or an induced subgraph isomorphic to . By Theorem 4.2, there exists such that and every graph with contains for some connected graph on vertices. By Lemma 2.2(2), if contains as an induced subgraph, then contains as a vertex-minor. If contains a vertex of degree at least , then it contains or as an induced subgraph. In all cases, contains as a vertex-minor and so contains as a vertex-minor.
If has depth- rank-brittleness at least , then by Lemma 4.1,
[TABLE]
and therefore has a vertex-minor isomorphic to . ∎
Proposition 4.5**.**
For every integer , there exists an integer such that every graph of depth- rank-brittleness at least contains a vertex-minor satisfying one of the following.
- (i)
* for disjoint sets , of vertices such that each is a clique in , is isomorphic to , and either or is isomorphic to all .* 2. (ii)
* for disjoint sets , of vertices such that each is a clique in , is isomorphic to , and one of , , , and is isomorphic to all .* 3. (iii)
* is isomorphic to .*
Proof.
If contains a component with at least vertices, then it contains a vertex-minor isomorphic to . Thus, we may assume that .
Let be the function defined in Theorem 2.3, and be the function defined in Corollary 4.4. Let
[TABLE]
We may assume that no proper vertex-minor of has depth- rank-brittleness at least . By Lemma 3.1, every graph locally equivalent to has no three vertices that are pairwise twins.
By Corollary 4.4, has a vertex-minor isomorphic to
[TABLE]
We may assume that is an induced subgraph of by applying local complementations. Let be the set of connected components of , and let .
Observe that has no three vertices that are pairwise twins. It means that in each , there are no three vertices that have the same neighborhood on in , and thus each contains a subset with
[TABLE]
that have pairwise distinct sets of neighbors on .
Now, we consider the bipartite graph for each . In this bipartite graph, since vertices in have distinct neighborhoods on and , by Theorem 2.3, there exist and such that is isomorphic to , , or for each .
As , by Ramsey’s theorem, there exist and with where
- •
is a clique or an independent set in ,
- •
is isomorphic to , , or .
This can be done by selecting from by using Ramsey’s theorem and then selecting by using the relation between and . If is isomorphic to for some , then contains a vertex-minor isomorphic to a path on vertices by Lemma 2.2. Thus, we may assume that is isomorphic to or for all . So for each is isomorphic to , , , or . By the pigeonhole principle, we may assume that for all , all graphs are isomorphic to exactly one of , , , and .
We now apply Theorem 2.1, the sunflower lemma, to sets . As we choose , contains a sunflower with petals. We may assume that . Let be the core of , that is . Note that either has at least vertices, or has at least vertices for all . We divide into two cases depending on the size of the core.
First, suppose that . Let be a subset of with . For , let be the set of vertices in paired with vertices in in the graph . Then each is a clique and is isomorphic to . Let .
If all are isomorphic to , then has a vertex adjacent to all vertices in . In this case, we take . Then for every , is isomorphic to .
If all are isomorphic to , then we take . Then all are isomorphic to .
If all are isomorphic to or , then we take .
We conclude that has a vertex-minor on such that each is a clique in , is anti-complete to for all in , and one of or is isomorphic to for all . So, provides a desired vertex-minor of the first type.
Now it remains to consider the case that . Then for all , . For each , let be a subset of with . For , let be the set of vertices in paired with vertices in in the graph . Then we deduce that is isomorphic to and for all , all are isomorphic to exactly one of , , , or . and are disjoint. So, and provide a desired induced subgraph of the second type. ∎
In the rest, we will find a vertex-minor isomorphic to or when a given graph satisfies (i) or (ii) of Proposition 4.5.
4.1 The first case
Lemma 4.6**.**
Let be an integer. Let be a graph on vertices such that for disjoint sets , of vertices, each is a clique in , is isomorphic to , and all are isomorphic to . Then has a vertex-minor isomorphic to .
Proof.
Let , , , be an arbitrary enumeration of vertices in . For each , there are two vertices , in such that , . Let be the neighbor of in . Then is an induced path on vertices. ∎
Lemma 4.7**.**
Let be an integer. Let be a graph on vertices such that for disjoint sets , of vertices, each is a clique in , is isomorphic to , and all are isomorphic to . Then has a vertex-minor isomorphic to .
Proof.
Let be a vertex in . Let be the vertex in non-adjacent to . Let
[TABLE]
Observe that every vertex in has degree in and for all . See Figure 4 for an illustration. Let be the graph obtained from by applying local complementations at all vertices in . It is easy to see that is obtained from by deleting all edges from to for all . Then and is isomorphic to . Let , , , be an arbitrary enumeration of vertices in . For each , there are vertices such that and . Let be the neighbor of in . Then is an induced path and so is an induced path on vertices in . Thus, has a vertex-minor isomorphic to . ∎
4.2 The second case
We will use the product Ramsey theorem described below.
Theorem 4.8** ([26, Theorem 11.5]; See also [13]).**
Let be positive integers, and let be nonnegative integers, and let be integers with for each . Then there exists an integer such that if are sets with for each , then for every function , there exist an element and subsets of , respectively, so that for each , and maps every element of to .
Lemma 4.9**.**
For integers and , there exist and such that for and , if a graph has disjoint -vertex sets , , each is a clique of , is isomorphic to , and one of , , , and is isomorphic to all , then there exist indices and subsets , , , of , , , respectively and subsets , , , of , , , , respectively such that the following hold.
- (i)
* for all ,* 2. (ii)
one of , , , and is isomorphic to all for all , 3. (iii)
* is complete to for all or is anti-complete to for all ,* 4. (iv)
* is complete to for all or is anti-complete to for all ,* 5. (v)
* is complete to for all or is anti-complete to for all .*
In other words, has an induced subgraph isomorphic to one of
[TABLE]
for some [math]- matrix .
Proof.
Let and let
[TABLE]
The first step of the proof is to clean up edges between and for distinct and . We consider a function that maps for to an edge-coloring of with colors on the edges based on the three possible adjacencies between a pair of and its unique neighbor or non-neighbor in and a pair of and its unique neighbor or non-neighbor in . Each edge of will receive one of colors and the range of this function has at most edge-colorings of . By Theorem 4.8, there exist subsets , , , , , , , of , , respectively, such that
- (i)
, 2. (ii)
for each , is complete or anti-complete to , and is complete or anti-complete to , 3. (iii)
one of , , , and is isomorphic to all .
Now our next goal is to take a subset of by using Ramsey’s theorem. Let us color the edges of () by the one of colors determined by the following:
- •
is complete to or not.
- •
is complete to or not.
- •
is complete to or not.
Then by Ramsey’s theorem, there exists a subset of with such that every edge of has the same color. Let for and , for . This provides our conclusion. ∎
Now we will see that in many cases, we will have a vertex-minor isomorphic to .
Lemma 4.10**.**
Let be a positive integer.
- (1)
* contains a vertex-minor isomorphic to .* 2. (2)
* contains a vertex-minor isomorphic to .* 3. (3)
* contains a vertex-minor isomorphic to .* 4. (4)
* contains a vertex-minor isomorphic to .*
Therefore, if , then all of , , , and have vertex-minors isomorphic to .
Proof.
(1) Let and . The graph is isomorphic to .
(2) Let and be the vertex sets of two copies of . The graph is isomorphic to .
(3) Let and . The graph is isomorphic to .
(4) Let and be the vertex sets of two copies of . The graph is isomorphic to the graph obtained from by adding a vertex adjacent to all other vertices. Thus, the graph is isomorphic to . ∎
In the following lemma, we show that if is not symmetric, then we obtain as a vertex-minor.
Lemma 4.11**.**
Let be an integer. If is a [math]- matrix such that , then both and have vertex-minors isomorphic to .
Proof.
If , then is isomorphic to and contains an induced subgraph isomorphic to . If , then is isomorphic to and contains an induced subgraph isomorphic to . By Lemma 2.2, there is a vertex-minor isomorphic to in both cases. ∎
Lemma 4.12**.**
Let be an integer. If , then all of , , , and have vertex-minors isomorphic to .
Proof.
Let be the one of , , , or and let . Let , be the sets of vertices of the first copy of in where denotes the set of vertices in and denotes the other vertices. Let be a vertex in .
Then contains an induced subgraph isomorphic to , , , or for . By Lemma 4.10, it has a vertex-minor isomorphic to . ∎
Lemma 4.13**.**
Let be an integer. If for some , then all of , , , and have vertex-minors isomorphic to .
Proof.
Let be the one of , , , or and let . There exists an induced subgraph of and an edge of such that is isomorphic to , is complete to the bottom part of copies of , and anti-complete to the top part of copies of , and is complete to the top part of copies of , and is either complete or anti-complete to the bottom part of copies of , because we can choose a vertex from the top part of and a neighbor is chosen from the bottom part in the same copy of . Now, it is easy to see that is isomorphic to one of , , , and for a matrix . By Lemmas 4.10 and 4.12, has a vertex-minor isomorphic to . ∎
5 Main proof
We are ready to prove our main theorem, restated below.
Theorem 1.3.
A vertex-minor ideal has bounded depth- rank-brittleness if and only if
[TABLE]
and
[TABLE]
Before the proof, let us discuss why the two conditions in Theorem 1.3, and , are incomparable. First we sketch the proof showing that no path contains as a vertex-minor. The tree is a tree having a vertex such that contains three components having linear rank-width . (The definition of linear rank-width will be discussed in Section 6.) It implies that it has linear rank-width at least , by a characterization of linear rank-width on trees, see [1, 2]. However, paths have linear rank-width and therefore no path contains as a vertex-minor. Thus, if is the set of all vertex-minors of for all , then does not satisfy the first condition but satisfies the second condition. Secondly we claim that no contains a long path as a vertex-minor. It is not difficult to see that has depth- rank-brittleness at most . However, has unbounded rank-depth [6], and thus unbounded depth- rank-brittleness. So, if is the set of all vertex-minors of for all , then does not satisfy the second condition but satisfies the first condition.
Now let us start the proof of Theorem 1.3. Our first lemma is to prove the forward implication. It is already known that has unbounded rank-depth [6] and therefore it has unbounded depth- rank-brittleness. Thus, to prove the forward implication, it is enough to show that has unbounded depth- rank-brittleness.
Lemma 5.1**.**
The class has unbounded depth- rank-brittleness.
Proof.
We claim that has depth- rank-brittleness at least . Suppose that admits a -decomposition with . Then has a root from which every leaf is within distance at most , and we may assume that is not a leaf. By subdividing an edge if necessary, we may further assume that no leaf is adjacent to .
Let , , , be the neighbors of . We color each vertex of by if the component of containing has . An edge of is colorful if its ends have distinct colors. Let , , , be the components of .
Suppose that a component is fully contained in for some . Then, since contains an induced matching of size , the width of has to be at least . This contradicts the assumption that has width less than . Thus, we may assume that no component is fully contained in some . So every component has a colorful edge and therefore has a set of colorful edges in distinct components.
Let be a subset of chosen uniformly at random. A colorful edge of is -colorful if one end has a color in and the other end has a color not in . Then by the linearity of expectation, the expected number of -colorful edges in is . This means that there exists such that there are at least -colorful edges in distinct components of and so the width of is at least , contradicting the assumption on . ∎
The following proposition proves the backward implication of Theorem 1.3.
Proposition 5.2**.**
For every integer , there exists an integer such that every graph of depth- rank-brittleness at least contains a vertex-minor isomorphic to or .
Proof.
Let be the function defined in Proposition 4.5 and let , be the functions defined in Lemma 4.9. Let . and let . By Proposition 4.5, has a vertex-minor satisfying one of the following:
- (i)
for disjoint sets , of vertices such that each is a clique in , is isomorphic to , and either or is isomorphic to all . 2. (ii)
for disjoint sets , of vertices such that each is a clique in , is isomorphic to , and one of , , , and is isomorphic to all . 3. (iii)
is isomorphic to .
If (i) holds, then by Lemmas 4.6 and 4.7, has a vertex-minor isomorphic to or . So if (i) or (iii) holds, then has a vertex-minor isomorphic to . If (ii) holds, then by Lemma 4.9, has an induced subgraph isomorphic to one of
[TABLE]
for some [math]- matrix . By Lemmas 4.10, 4.11, 4.12, and 4.13, has a vertex-minor isomorphic to to . ∎
6 Rank-depth and linear rank-width
By Theorem 1.3, for a fixed positive integer , -vertex-minor free graphs have bounded depth- rank-brittleness, and thus have bounded rank-depth. We will show that they have bounded linear rank-width. Indeed, we will show that graphs of bounded rank-depth have bounded linear rank-width. This was also proved by Ganian, Hliněný, Nešetřil, Obdržálek, and Ossona de Mendez [11, Proposition 3.4] in terms of shrub-depth and linear clique-width, but our proof provides an explicit bound.
First let us review the definition of linear rank-width [10, 15, 23]. For a graph , an ordering of the vertex set is called a linear layout of . If , then the width of a linear layout of is defined as , and if , then the width is defined to be [math]. The linear rank-width of , denoted by , is defined as the minimum width over all linear layouts of . It is easy to see that if is a vertex-minor of , then .
Proposition 6.1**.**
For a graph , .
Proof.
If has vertex, then . So, we may assume that has at least vertices. Let , and let be a -decomposition of . Let be a node of within distance at most from every node of .
Let be a DFS ordering of . Let . Let be an ordering of the vertices of such that for all , appears before in the DFS ordering of . We claim that has width at most . Let , , , , and . By the property of the depth-first search, has a path from consisting of nodes in such that for each node in , the first vertex in in the path from to is on .
As has radius at most , we can take to have length at most .
For , let be the set of all vertices of mapped to a node in such that is the first vertex in in the path from to is on .
Since has width at most , the cut-rank of is at most . As , we deduce that by the submodularity of the cut-rank function. This implies that the width of the linear layout is at most . ∎
Corollary 1.4.
For every positive integer , graphs with no vertex-minors isomorphic to have bounded depth- rank-brittleness, bounded rank-depth, and bounded linear rank-width.
Proof.
Let be the class of -vertex-minor free graphs. Then and . Thus, by Theorem 1.3, has bounded depth- rank-brittleness, and thus bounded rank-depth. By Proposition 6.1, it also has bounded linear rank-width. ∎
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