Reading Notes

Tangles and a Structure Theorem

The result that we discuss here is Theorem 2.1 in Kawarabayashi and Wollan’s article, originally (3.1) in Graph Minors XVI, which plays a bigger role in the subsequent proof of the graph minor theorem than the “cornerstone” Graph Decomposition Theorem, and which indeed is used in the proof of said decomposition theorem.

This structure theorem states that given a H-minor-free graph G, for every tangle \mathcal{T} in G of order \geq \theta, there exists A \subset V(G) of size at most \alpha such that G - A has an \alpha-bounded \alpha-near embedding into a surface \Sigma into which H cannot be embedded, and this near-embedding captures \mathcal{T} - A.

Here capturing the tangle means that we can find a (\mathcal{T} - A)-central segregation \mathcal{S} of G - A (i.e. a partition \mathcal{S} of G - A into edge-disjoint societies such that no society in \mathcal{S} contains the large side of any separation in \mathcal{T}) with a bounded number of large vortices and vortex decompositions of bounded depth in our near-embedding.

What is a tangle?

A tangle \mathcal{T} of order \theta is a set of ordered separations (A,B) such that for every separation \{A, B\} of G of order \leq \theta, either (A,B) or (B,A) is in \mathcal{T}, and such that G[A_1] \cup G[A_2] \cup G[A_3] \neq G for any (A_i, B_i) \in \mathcal{T} with i=1, 2, 3. In short, a tangle is a “complete” (in the sense of the first axiom) set of small-order separations which leave a substantial part of the graph on the B side (in the sense of the second axiom.)

From the Structure Theorem to the Graph Decomposition Theorem

The structure theorem here plays a key role in Kawarabayashi-Wollan’s proof of the Graph Decomposition Theorem (which is essentially the same as Robertson-Seymour’s proof [?].)

Recall our last restatement of the Graph Decomposition Theorem; this we will prove by induction on |V(G)|. The structure theorem gives us (positive) constants \hat{\theta} and \hat{\alpha} such that, for every tangle of order \geq \hat{\theta}, G is \hat\alpha-close to having an \alpha-bounded \hat\alpha-near embedding into a surface \Sigma into which H does not embed, and this near-embedding H_0, H_1, \dots, H_m captures \mathcal{T}.

Choose \theta = \max(\hat\theta, 3\hat\alpha+1) and \alpha := 4\theta - 2 (\theta is chosen so that 3 + \hat\alpha \leq \theta and \hat\theta \leq \theta hold, and \alpha so that 3\theta - 1 \leq \alpha). For the base case, we observe that we may assume |V(G)| \geq \alpha, otherwise the result is trivially true.

We now induct by decomposing each vortex H_i in our near-embedding separately and putting the pieces together. The exceptional subgraph H_0 can be left as is; the small vortices can be split along society vertices; the large vortices can be split along vortices of the parts of its vortex decomposition (see p.9 of Kawarabayashi and Wollan for details); inductively we obtain the desired tree-decompositions for each smaller part, and then piece them together by connecting one of their vertices to the new root v_0 (representing $latex G[V(H_0) \cup \hat{A}$), we may check that the torso of the new part V_0 can be \alpha-nearly embedded as desired.

Advertisements
Standard
Reading Notes

Vortices and Graph Decomposition

At the heart of the proof of Seymour and Robertson’s graph minor theorem lies the graph decomposition theorem (commonly referred to as the graph structure theorem), which is the main result of Graph Minors XVI and which Seymour and Robertson describe as “the cornerstone theorem of the [Graph Minors] series”. This theorem states that any graph G with no H minor can be decomposed as into graphs H_i which (almost) constitute “obvious” obstructions to a H minor because there exist surfaces \Sigma_i into which H_i can (almost) be embedded, but H cannot.

Two restatements

More precisely, any H-minor-free graph is the result of clique-sums, with join sets of size \leq\alpha, of graphs H_i which are \alpha-close to admitting a totally bounded \alpha-near embedding into a surface \Sigma into which H does not embed.

Note that a tree decomposition is precisely a clique-sum of its parts torsos along their respective torsos intersections. This motivates an even more precise re-statement of the theorem: any H-minor-free graph G has a bounded number \theta of apex vertices Z, and a rooted tree decomposition \{V_t \:|\: t \in T\} with root r such that

  1. its torsos \{G_t \:|\: t \in T\} have vertex subsets \{A_t \:|\: t \in T\} of bounded size \alpha such that G_t - A_t has an \alpha-near embedding into a surface \Sigma_t into which H does not embed;
  2. these embeddings are totally bounded, i.e. G_t - A_t is obtained from a graph embeddable in \Sigma_t by adding \leq \alpha vortices, each of path-width \leq \alpha (in particular, the path decompositions of the vortices have adhesion \leq \alpha, so that this is an indeed a strengthening of \alpha-bounded);
  3. for adjacent vertices t, t' \in T,where t \in rTt' (i.e. t is the parent of t'), V_t \cap V_{t'} \subset A_t (i.e. the overlap sits inside the excluded vertices of the parent), and V_t \cap V_{t'} \subset A_t \cup X_t where X_t is either two consecutive parts of a vortex decomposition in G_t - A_t, or an embedded clique of size at most 3 (i.e. the overlap almost sits inside the excluded vertices of the child, modulo two controllable special cases);
  4. the apex vertices Z sit inside A_r.

where \alpha and \theta depend only on the excluded minor H.

This last is the form in which Kawarabayashi and Wollan prove the theorem using induction on |V(G)|.

What is a vortex?

The original motivation for this structure theorem is the result from Graph Minors V, inspired by the earlier result of Dirac and Duffin characterising K_4-minor-free graphs as series-parallel graphs, that states that for H a planar graph, every H-minor-free graph has tree-width bounded by some number which is a function of H only. Additional elements, however, need to be introduced to generalize to the case where H is not planar:

  1. In particular, drawing on Wagner’s characterisation of K_5-minor-free graphs as graphs with tree-decompositions whose parts are either planar or isomorphic to V_8 (the graph obtained by joining opposite vertices of a 8-cycle), we allow the building blocks of our tree-decomposition to be arbitrary graphs of bounded genus.
  2. Adding a single vertex connected to every vertex to a large grid produces a K_6-minor-free graph of large genus; similarly adding k such vertices produces a K_{k+5}-minor-free graph or large genus. Hence we really want our building blocks to be arbitrary graphs of bounded genus plus a bounded number of arbitrarily-connected vertices (such vertices are known as apex vertices, from the image of the archetypal single vertex connected to everything on a grid.)
  3. There is one more sort of obstruction that must be taken into account, and these are vortices …

A vortex is, roughly speaking, a site of limited complexity where we allow arbitrary violations of bounded genus; they differ from apex vertices in that their complexity is limited not by the size of their vertex set, but by (essentially) their path-width. The archetypal vortex is a planar graph with edges added between every pair of vertices at distance 2 in the boundary of its infinite face—such a graph has no K_8 minor (Seese and Wessel, cited in Graph Minors XVI, 45), but cannot be obtained (as a family) by adding a bounded number of apex vertices to graphs of bounded genus.

More precisely, a vortex is a pair (G, \Omega) where G is a graph and \Omega is a cyclic ordering of some \bar{\Omega} = \{v_1, \dots, v_n\} \subset V(G) such that we can find a partition of G into edge-disjoint subgraphs H_1, \dots, H_n satisfying

  1. v_i \in V(H_i) and for every edge e \in G, we have $latex e \in H_j$ for some j.
  2. \{v_j : v \in V(H_j)\} \cap \bar{\Omega} =: \Omega_j forms a segment or circular interval of  \bar{\Omega}, i.e. if v_m, v_n \in \Omega_j, then v_ k \in \Omega_j whenever m \leq k \leq n.

(Notational asides: the pair (G[\bar{\Omega}], \Omega) is known as the society of the vortex; H_1, \dots, H_n is a vortex decomposition of (G, \Omega).)

The depth \alpha of a vortex is the maximum of |V(H_i) \cap V(H_j)| over all choices of i, j.

One way to build a vortex constructively (which also generalises in a visible way from the archetypal example given above) is to start with a cycle C, consider a finite list \Lambda of segments on that circle, add a vertex v_\gamma for each segment \gamma \in \Lambda which is arbitrarily connected to the vertices of C, and then add an edge between v_\gamma and v_{\gamma'} if \gamma \cap \gamma' \neq \varnothing. If no vertex of C appears in more than \alpha intervals of \Lambda, we have a vortex of depth \alpha. This construction corresponds to what are called fringes of depth \alpha in Lovász’s survey. If C was the boundary of a face in an embedding of a graph G, then we say that the graph resulting from this construction was obtained by adding a vortex of depth \alpha to G.

One way to visualize what the graph structure theorem is saying is provided by this awesome picture drawn by Felix Reidl:

Hierarchy

(here the things sticking out are apex vertices, and the circular things on the surface that are not holes are vortices.)

References

For definitions of terminology which appears but is not defined here see e.g. Kawarabayashi and Wollan’s article, or the chapter on Minors in Diestel’s book. See also these slides from Daniel Marx, which are good for aiding intuition.

Standard