On the connectivity of graphs in association schemes
Brian G. Kodalen, William J. Martin

TL;DR
This paper investigates the connectivity properties of graphs derived from association schemes, proving new bounds and characterizations, especially for diameter-two graphs, and identifying polygons as unique disconnecting structures.
Contribution
It characterizes twins in association schemes, establishes connectivity preservation under certain vertex deletions, and provides bounds on graph connectivity, advancing understanding of association scheme graphs.
Findings
Deletion of a vertex's neighborhood leaves at most one non-singleton component.
In the absence of twins, deleting a vertex and its neighbors keeps the graph connected.
Only polygons admit a disconnecting set of size two in symmetric association schemes.
Abstract
Let be a commutative association scheme and let be a connected undirected graph where . Godsil (resp., Brouwer) conjectured that the edge connectivity (resp., vertex connectivity) of is equal to its valency. In this paper, we prove that the deletion of the neighborhood of any vertex leaves behind at most one non-singleton component. Two vertices are called "twins" in if they have identical neighborhoods: . We characterize twins in polynomial association schemes and show that, in the absence of twins, the deletion of any vertex and its neighbors in results in a connected graph. Using this and other tools, we find lower bounds on the connectivity of , especially in the case where has diameter two. Among the applications of these results, we find that…
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On the connectivity of graphs in association schemes
Brian G. Kodalen
William J. Martin
Department of Mathematical Sciences
Worcester Polytechnic Institute
Worcester, Massachusetts
{bgkodalen,martin}@wpi.edu
Abstract
Let be a commutative association scheme and let be a connected undirected graph where . Godsil (resp., Brouwer) conjectured that the edge connectivity (resp., vertex connectivity) of is equal to its valency. In this paper, we prove that the deletion of the neighborhood of any vertex leaves behind at most one non-singleton component. Two vertices are called “twins” in if they have identical neighborhoods: . We characterize twins in polynomial association schemes and show that, in the absence of twins, the deletion of any vertex and its neighbors in results in a connected graph. Using this and other tools, we find lower bounds on the connectivity of , especially in the case where has diameter two. Among the applications of these results, we find that the only connected relations in symmetric association schemes which admit a disconnecting set of size two are those which are ordinary polygons.
1 Overview
Let be a finite set of size and let be a partition of into binary relations such that is the identity relation on and for each there exists such that where . We say is an association scheme (with classes) if there exist integers () such that
[TABLE]
whenever . Throughout this paper, all association schemes are commutative: we require for all . The problems addressed here immediately reduce to the symmetric case where for all ; i.e., we will work with symmetric relations only.
Association schemes arise in group theory, graph theory, design theory, coding theory and more. For example, if is a finite group with conjugacy classes (), then the conjugacy class relations yield a commutative association scheme on the vertex set . The orbits on of any permutation group acting generously transitively on a set give a symmetric association scheme. Some of the most well-studied association schemes are distance-regular graphs, including Moore graphs, distance-transitive graphs, strongly regular graphs, generalized polygons, etc. One studies -ary error-correcting codes of length as vertex subsets of the Hamming association scheme [4, Sec. 9.2] and one studies -() designs as vertex subsets of the Johnson association scheme [4, Sec. 9.1]. For an introduction to the extensive literature on the subject, the reader may consult [13, 2, 4, 17], the survey [22], or the more recent book of Bailey [1] which focuses on connections to the statistical design of experiments.
Let be a commutative -class association scheme with basis relations . For , we have a (possibly directed) simple graph on . For , the set is partitioned into subconstituents () with respect to . The association scheme is symmetric if all basis relations are symmetric; each may be considered as an undirected graph in this case as for all . The association scheme is primitive [4, Sec. 2.4] if is connected for all and imprimitive otherwise. A system of imprimitivity for is any non-trivial partition of consisting of the components of some graph where is a union of basis relations. (The trivial partitions and are not systems of imprimitivity.) For each , we may construct an undirected graph (possibly with loops) on vertex set , joining to if . We call this the unweighted distribution diagram corresponding to basis relation .
With reference to a fixed undirected graph with vertex set and edge set , we say that and are twins if yet , where denotes the set of neighbors of in graph . Write111Note that some authors assign another meaning to ; here, we follow [4, p. 440]. . A graph is complete multipartite if any two non-adjacenct vertices are twins: i.e., the complement of is a union of complete graphs.
The main goal of this paper is to prove the following theorem:
Theorem 1.1**.**
Let be a symmetric association scheme. Assume the graph is connected and not complete multipartite. Let be the corresponding unweighted distribution diagram on . The following are equivalent:
- (1)
there exists for which the subgraph is connected;
- (2)
for all , the subgraph is connected;
- (3)
the subgraph is connected;
- (4)
contains no twins.
We obtain the following corollaries.
Corollary 1.2**.**
Let be a commutative association scheme. Assume the undirected graph is connected and . Then contains at most one non-singleton component.
Corollary 1.3**.**
Let be a commutative association scheme. Assume the undirected graph is connected and . Then, for any with , the graph is connected.
Corollary 1.4**.**
Let be a commutative association scheme. Assume the undirected graph is connected and is the vertex set of a clique in . Then is connected.
The graphs considered in these theorems are all undirected graphs, either a symmetric basis relation in our association scheme or the symmetrization of some directed basis relation. In both cases, the edge set of is a basis relation of the symmetrization of where
[TABLE]
In this way, the main theorem, while dealing only with the symmetric case, extends immediately to give these corollaries.
We should remark that these last two results extend naturally to the case where is not connected in that the deletion of vertices does not increase the number of components. One verifies this by applying the respective corollary to the subscheme induced by vertices in a particular component of .
2 Connectivity results for highly regular graphs
Before we provide proofs of these results and explore various consequences, we now survey earlier work on the connectivity of graphs in certain association schemes.
Brouwer and Mesner [3] showed in 1985 that the vertex connectivity of a strongly regular graph is equal to its valency and that the only disconnecting sets of minimum size are the neighborhoods of its vertices. (Brouwer [5] mentions that the corresponding result for edge connectivity was established by Plesńik in 1975.) This result on vertex connectivity was extended by Brouwer and Koolen [6] in 2009 to show that a distance-regular graph of valency at least three has vertex connectivity equal to its valency and that the only disconnecting sets of minimum size are again the neighborhoods . Meanwhile a conjecture of Brouwer on the size and nature of the “second smallest” disconnecting sets in a strongly regular graph has inspired both new results and interesting examples by Cioabă, et al. [8, 9, 10, 11, 12].
Godsil [16] conjectured in 1981 that the edge connectivity of a connected basis relation in any symmetric association scheme is equal to the valency of that graph. Brouwer [5] claimed in 1996 that the same should hold for the vertex connectivity. In [16], Godsil proves that if is regular of valency , then the edge connectivity of is at least . In 2006, Evdokimov and Ponomarenko proved Brouwer’s conjecture for in the case when is equal to the projection onto of the -fold tensor product . See [15] for definitions and details.
Much more is known about the connectivity of vertex- and edge-transitive graphs. (See [18, Sec. 3.3-4].) Mader [19] and Watkins [26] independently obtained the following two results in 1970. The vertex connectivity of an edge-transitive graph is equal to the smallest valency. A vertex transitive graph of valency has vertex connectivity at least . Further, in 1971, Mader [20] proved that any vertex transitive graph has edge connectivity equal to its valency.
3 Preliminary results
In preparation for the proof of our main result, we now prove a few lemmas. We utilize basic terminology and notation regarding symmetric association schemes. We refer the reader to Section 2.2 of [4] for basic facts about the Bose-Mesner algebra and Section 2.4 of [4] for information on imprimitivity.
Let denote the -matrix with rows and columns indexed by and -entry equal to one if and equal to zero otherwise. Then the Bose-Mesner algebra is a complex vector space closed under both ordinary and entrywise multiplication. So it admits a basis of pairwise orthogonal idempotents () and the change of basis matrices and given by
[TABLE]
satisfy (in particular, for ) and [4, p. 45], as well as where and [4, Lemma 2.2.1(iv)].
3.1 Twins
Let be the graph of a basis relation in . Write . Examples where twins arise (i.e., for ) include not only complete multipartite graphs but antipodal distance-regular graphs such as the -cube in which case is the distance- relation of the association scheme.
Lemma 3.1**.**
Let be a symmetric association scheme and let for some . If and are twins, then is imprimitive and some system of imprimitivity exists in which and belong to the same fibre.
Proof. Denote by the column of indexed by . Then we have, for each ,
[TABLE]
so that either or . We have if and only if from above. Moreover, for , . Since , we must have for some . Thus with forcing . Thus has repeated columns and the association scheme is imprimitive [21, Theorem 2.1]. It is well-known that the equivalence classes of the relation form a non-trivial system of imprimitivity in this case.
Remark 3.2**.**
We now discuss twins in polynomial association schemes. These symmetric schemes include the -polynomial association schemes where is the distance- relation in some distance-regular graph and the -polynomial or cometric association schemes [4, Section 2.7].
Assume is the association scheme coming from a distance-regular graph with distance- relation and assume for distinct vertices and . Suppose and do not belong to a common antipodal fibre in an antipodal system of imprimitivity. Then must be bipartite, in which case columns and of can be identical only for (where are ordered so that [4, Prop. 4.4.7]). But then, except for , there is some for which ; thus for . So bipartite systems of imprimitivity only arise for . Viewing complete bipartite graphs as having the antipodal property, we then have that any distinct and with must belong to the same antipodal fibre, is even, and . 2. 2.
Assume is a cometric association scheme, not a polygon, and yet . Then, by a theorem of Suzuki, et al. [24, 7, 25], is either -bipartite or -antipodal. Let be a -polynomial ordering of the primitive idempotents and order relations such that . If and belong to the same fibre of a -bipartite imprimitivity system, then must be even and by Corollary 4.2 in [21]. Otherwise, and must belong to the same -antipodal fibre and only for . So for , forcing to be an imprimitive strongly regular graph (as it is regular with three eigenvalues). Since the scheme is cometric with an imprimitive strongly regular graph as a basis relation, we must have and and are non-adjacent vertices in a complete multipartite graph.
3.2 The graph homomorphism
For , let and let denote the unweighted distribution diagram corresponding to symmetric relation .
Proposition 3.3**.**
For any , the map sending to where is a graph homomorphism. Under this map, every walk in projects to a walk in of the same length. As a partial converse, for any with and any walk
[TABLE]
in , there is at least one walk of length in such that for each .
We will call the projection map and will omit the second subscript when it is clear from the context.
For vertices and in an undirected graph , we use to denote the path-length distance from to in , setting when no path from to exists in .
Lemma 3.4**.**
Let be a symmetric association scheme. For , let be a connected graph and let denote its unweighted distribution diagram. For , .
Proof. A shortest path in from to [math] lifts via to a walk in from to a vertex in — i.e., lifts to a walk from to — of length . Conversely, each path from to in projects to a walk of the same length from to [math] in .
3.3 The decomposition with respect to a basepoint
For simplicity, we henceforth take with unweighted distribution diagram in some symmetric association scheme . We assume throughout the remainder of Section 3 that itself is a connected graph. We will compare the graphs and and show that, with known exceptions, one is connected if and only if the other is connected. One direction is straightforward.
Proposition 3.5**.**
If is not a connected graph, then for any , is also disconnected. If and are in distinct components of , then contains no path from to .
Proof. Let and and suppose is a path in . Then is a walk from to in . Since is disconnected, for some which forces , a contradiction.
Proposition 3.6**.**
If and lie in distinct components of , then .
For , note that . We now assume that is disconnected and we define a decomposition of its vertex set. Let
[TABLE]
Now the set decomposes naturally into the vertex sets of the connected components of , excluding the isolated vertices in . Let be the vertex set of some non-singleton component such that is minimized. Let as depicted in Figure 1. For , set
[TABLE]
and note that , , and are independent of the choice of . Observe that and are twins if and only if . While our basepoint will vary in what follows, our choice of , and will remain fixed for this connected graph .
Lemma 3.7**.**
If , then for every , .
Proof. By way of contradiction, assume with . For any , we note that contains an -path which does not pass through . So and lie in the same connected component of . But if then so by symmetry. It follows that . But this contradicts .
3.4 Comparing the view from multiple basepoints
Proposition 3.8**.**
For any and any , we have .
Proof. If and are twins, then cannot be a twin of since is not a twin of . So gives . So .
Now fix and choose . Consider the component of containing . Since and are not twins, some element of is a vertex of and hence contains vertices in unless . Let and let . This vertex decomposition is depicted in Figure 2. Since , we have and, since is connected, .
In the next two results, we proceed under the hypotheses stated at the beginning of Section 3.3 and assume that vertices and have been chosen and the sets and are defined as above relative to this pair of vertices.
Lemma 3.9**.**
Let be a walk in with and lying some other component of . Let be the smallest subscript with . Then .
Lemma 3.10**.**
For , implies . So no subconstituent of with respect to is entirely contained in .
Proof. Let and consider a shortest -path in , of length say, and label its vertices as follows: . Then, by Lemma 3.9, for . Consider , , and assume . Then we have for . Note and . Now we lift the walk in to a different walk in . Since and are not twins, we may choose . Since , there exists with adjacenct to in . Continuing in this manner, we may construct a walk in with . Since , none of the vertices lie in , so the entire walk is contained in one component of . By definition of , we then have .
Lemma 3.11**.**
If , then has diameter two; i.e., for all .
Proof. Let with . Choose as above and consider, in turn, each part of the decomposition
[TABLE]
relative to and . If , ; if , then by Lemma 3.7. Next consider . Then but since and lie in distinct components of . Finally, consider with . By Lemma 3.10, there exists . Since has a neighbor in , which then implies that some neighbor of lies in as well.
Theorem 3.12**.**
Let be any symmetric association scheme and let be any connected basis relation. With reference to the above definitions, .
Proof. By way of contradiction, assume and define
[TABLE]
and select and with and . Note that and by Lemma 3.11. Now choose , and select in . Since is not a twin of , we may choose and since , we may choose and in which is a neighbor of . Since contains a path from to and , we have . So . By Proposition 3.6, . (See Figure 3.) But . So
[TABLE]
Now we simply reverse the roles of and ; more precisely, we swap and .
Select in and, choosing , we may find a vertex in which is a neighbor of . Since contains a path from to and , we have . So . By Proposition 3.6, . But . So
[TABLE]
We have and , producing the desired contradiction.
4 Proofs of the main theorem and its corollaries
We are now ready to present the proof of our main theorem.
Proof of Theorem 1.1. For notational convenience, we assume .
We begin by showing . If and are twins in with , then and so that and is the entire vertex set of some component of . So either is not connected or and , being imprimitive, is a complete multipartite graph. Conversely, by Theorem 3.12, so if we have that is connected.
The assertion is trivial. Proposition 3.5 gives us . So we need only check that implies .
Assume now that is connected and yet there is some with not connected. By Proposition 3.3, any in is joined by a walk in to some vertex in for every . (Simply lift a walk in from to where .) So for every every connected component of intersects every subconstituent non-trivially. Select so as to maximize and choose such that and lie in distinct components of . Then every -path in must include a vertex in , so . Since by Lemma 3.4, this forces . In particular, for every .
Select so as to minimize and select from distinct components of . Then for some and so . But since these two vertices lie in distinct components, Proposition 3.6 gives us
[TABLE]
so and . If , then has neighbors in . For any such neighbor , we must have either or , both of which force . So vertices and must be twins.
The proofs of Corollaries 1.3, 1.2 and 1.4 are now rather immediate. Since each is a statement about the symmetrization of some commutative scheme, Theorem 1.1 applies.
Proof of Corollary 1.2. This is essentially Theorem 3.12.
Proof of Corollary 1.3. First, if we have no twins then is connected. Any has at least one neighbor in . If , then some is also not included in . So the graph is connected as long as .
If is a twin of in , then is adjacent to every . Since , some is a vertex of . By Corollary 1.2, has at most one non-singleton component. Let be the component of containing this component as a connected subgraph. (If consists only of singletons, choose to be any component of .) Since has at least one neighbor in , the component contains and every twin of since each of these is a neighbor of . Likewise, if , then belongs to since it is adjacent to . So in this case as well, is connected.
Proof of Corollary 1.4. Let and take . Then apply Corollary 1.3.
We finish this section with a simple generalization arising from the proof above. We state the result without proof.
Theorem 4.1**.**
Assume , and are defined as in Theorem 1.1. Let and .
- (a)
If is disconnected and with (the diameter of ), then for any not in the same component of as , we have .
- (b)
If is connected and yet is disconnected, then .
5 Further results on connectivity
In this section, we develop some machinery for the study of small disconnecting sets which are not localized. We then apply these tools to show that, with the exception of polygons, a basis relation in a symmetric association scheme has vertex connectivity at least three. We can say a bit more in the case where has diameter two.
Elementary graph theoretic techniques allow us to handle the case where is in some sense locally connected. For example, if induces a connected subgraph for every and for any pair of distinct elements , then is connected. The proof of this claim is essentially the same as the proof of the following proposition.
Proposition 5.1**.**
Let be a connected simple graph. Suppose any two vertices at distance two in lie in some common cycle of length at most and satisfies for all pairs of distinct vertices from . Then is connected.
Proof. Set and, for set . The induced subgraph of determined by is connected so admits a spanning tree. Moreover, since is not a cut vertex of , there exists a spanning tree for in which is a leaf vertex. For , let denote the edge set of with the sole edge incident to removed.
Now consider the minor of obtained by contracting to a single vertex for every . Since is again a connected graph, it admits a spanning tree . Lift the edge set of back to and note that contains no edge from any of the induced subgraphs , . So is the edge set of a spanning tree in , which demonstrates that is connected.
5.1 A spectral lemma
Eigenvalue techniques such as applications of eigenvalue interlacing play an important role in [3] and [6]. The following lemma is inspired by those ideas. This can be used, in conjunction with Lemma 5.6, to show that a graph with a small disconnecting set whose elements are not too close together must be locally a disjoint union of cliques of size at most .
Lemma 5.2**.**
Let be a symmetric association scheme and let be the graph associated to a connected basis relation. Assume that contains no induced subgraph isomorphic to . If is a disconnecting set for , then .
Proof. The result obviously holds when is complete multipartite, so assume is not a complete multipartite graph. By [4, Cor. 3.5.4(ii)], we then know that the second largest eigenvalue of is positive. Order the eigenspaces of the scheme so that and abbreviate . For , denote by the submatrix of obtained by restricting to rows in and columns in . Let be any clique in . Then, because , the matrix is invertible.
Assume now that some disconnecting set has . Let and be two connected components of with vertex sets and , respectively, and let and denote the spectral radii of these two graphs. Assume, without loss, that . By eigenvalue interlacing, . (see, e.g.,[4, Theorem 3.3.1].) We now show .
Since does not contain as an induced subgraph, it is locally a disjoint union of cliques and every edge of lies in a clique of size . If is edgeless, then contains all neighbors of some vertex, which is impossible since . So contains at least one edge and contains some clique of size at least . It follows that the submatrix has rank at least . But . So the row space of contains at least two linearly independent vectors which are zero in every entry indexed by an element of . Restricting these two vectors to coordinates in only, we obtain two linearly independent eigenvectors for graph belonging to eigenvalue . It follows that and , the spectral radius of , is not a simple eigenvalue. This contradicts the Perron-Frobenius Theorem (see, e.g., [4, Theorem 3.1.1]) since was chosen to be a connected graph.
Remark 5.3**.**
The hypotheses of the above lemma may clearly be weakened. The proof simply requires that both and contain cliques of size or larger and that the entries of idempotent are the same for all adjacent and in .
5.2 Intervals and metric properties of
For , if , Lemma 3.4 tells us that the path-length distance between and in graph is equal to the path-length distance between [math] and in . It follows that the diameter, say, of is equal to , which happens to be the diameter of . We thus partition the index set according to distance from [math] in . For each , define . For with , define
[TABLE]
Proposition 5.4**.**
With defined as above
- (a)
For any geodesic in ,
[TABLE]
- (b)
If , then for any which lies along a geodesic from [math] to in , as well.
- (c)
If , then there is a unique shortest path in from [math] to and, for , there is a unique shortest path in from to .
Proof. For part (a), observe that for there exists adjacent to since so that
[TABLE]
Parts (b) and (c) follow immediately.
For , we define the interval to be the union of the vertex sets of all geodesics in from to :
[TABLE]
For the purpose of the present discussion, we introduce a piece of terminology. For and , we say that is proximal to (relative to ) if for all . Vertex is then proximal only to if for all distinct from .
Proposition 5.5**.**
Let be a disconnecting set for and let and be vertices lying in different components of with . Suppose there is some with . If either is proximal only to or is proximal to and is proximal only to , then .
Proof. Apply the triangle inequality.
5.3 Small disconnecting sets
We begin by examining a simple condition which guarantees that is locally a disjoint union of cliques.
Lemma 5.6**.**
Let be a disconnecting set for , . Suppose for all with . Then is -free.
Proof. Let and let . Let be some vertex lying in a different component of from that containing . For , we find . So by Proposition 5.5.
Lemma 5.7**.**
Let be a disconnecting set for , .
- (a)
Let and be vertices lying in different components of . If for every except , then has a unique neighbor lying closer to and has a unique neighbor lying closer to .
- (b)
Suppose satisfies for every except . If lies in a component of distinct from that containing , then has a unique neighbor lying closer to and has a unique neighbor lying closer to .
In both cases, for , and , we have .
Proof. Clearly (b) follows from (a). So first verify (a) for the case . Next, observe that any geodesic joining to passes through . So . Let . Since and , we find , a set of size one. By the same token, and so gives .
Lemma 5.8**.**
Let be a disconnecting set for , , and suppose satisfies for every except . Then
- (a)
for where , we have .
- (b)
for which is separated from by deletion of , if , then where with .
Proof. Let be a neighbor of which is separated from by deletion of . Since , we see that is proximal only to and . The set has size and every lies at distance from in . Since every other neighbor of , with the exception of , is further away from , we have where . Reversing roles, we see that then has exactly neighbors which lie at distance from . But, for , . This gives (a). To obtain (b), observe that every neighbor of with must have . By part (a), there are exactly such vertices. So, for , . Reversing roles, we see that exactly neighbors of lie at distance from . But this is precisely the set of vertices adjacent to which lie at distance from .
Theorem 5.9**.**
Let be a symmetric association scheme and let be the graph associated to a connected basis relation. If admits a disconnecting set of size two, then is isomorphic to a polygon.
Proof. Let be a disconnecting set of size two. Let and let be the vertex set of some connected component of . First consider the case where is the unique vertex at distance from in . Then every vertex is at distance from exactly one other vertex. On the other hand, if , then any neighbor of not lying in must be at distance from by the triangle inequality. It follows that has exactly one neighbor not in and, symmetrically, exactly one neighbor in . So the graph has valency two in this special case.
By Corollary 1.3, we have so that is -free by Lemma 5.6. Let (resp., ) denote some vertex at distance from (resp., ), with , . Let and be the vertex sets of two connected components and , respectively, of and assume . By Lemma 5.7(b), any has a unique neighbor lying closer to . By Lemma 5.8(a), any has exactly neighbors satisfying . Since and , we must have also. So we can swap the roles of and , and , to find that any has a unique neighbor closer to and exactly neighbors with . Now select so as to maximize . By Corollary 1.3, , so we may assume is not adjacent to . Then has a unique neighbor lying closer to and exactly neighbors satisfying . Since maximizes , any neighbor of which lies farther away from must lie closer to . But there is exactly one such vertex. In all, we have . But is -free so the neighborhood of any vertex is partitioned into cliques of size . We find that divides . This can only happen if ; i.e., is triangle-free. But then has degree two and must be a polygon.
Our final two results deal with the special case where graph has diameter two.
Theorem 5.10**.**
Let be a symmetric association scheme and let be the graph associated to a connected basis relation. If has diameter two and , then has vertex connectivity at least unless .
Proof. Let be a minimal disconnecting set of size at most . For each , we use the fact that any two vertices have at least one common neighbor to obtain
[TABLE]
so that there is some not adjacent to any element of except possibly . Let be the component of containing . Since has diameter two, and every must also be adjacent to . Swapping roles of the vertices in , we find that, for every in , there is some vertex (necessarily in ) with . But this implies that every is adjacent to every vertex in , so for every .
Remark 5.11**.**
We expect very few exceptions to arise here. If , then we find that is a singleton and all but at most elements of have exactly one neighbor in . With so close to the Moore bound, does this condition force to be a Moore graph?
Theorem 5.12**.**
Let be a symmetric association scheme and let be the graph associated to a connected basis relation. If has diameter two, then either has vertex connectivity at least four or is isomorphic to one of the following graphs: the 4-cycle, the 5-cycle, , the Petersen graph.
Proof. Let be a minimal disconnecting set of size three.
Case (i): for some .
By Corollary 1.3, we have and has valency three; i.e., .
Case (ii): Assume is not contained in for any vertex .
In view of Theorem 5.10, we may assume . (There is no cubic graph on nine vertices.) Let and denote the vertex sets of two distinct connected components of and assume, without loss of generality, that . Then we have . So . In view of Case (i), we may assume each is adjacent to exactly two members of and every pair of distinct vertices in is adjacent. This forces . Looking at in , we find that since and must share a common neighbor in . Now compare this to some . Since we are not in Case (i), some is not adjacent to any other element of . For this , choose some neighbor of where if and if . The number of common neighbors of and is then at most . The inequalities then imply that is a polygon, which is impossible as was chosen to be minimal.
Acknowledgments
We are grateful to Sebastian Cioabă, Gavin King and Jason Williford for helpful conversations on these topics. We thank the referee for his or her careful reading of the manuscript. This work grew out of investigations supported by the National Security Agency.
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