Local connectivity 2026-09-29
For nonadjacent vertices of a graph , their local connectivity is the minimum size of an - vertex separator. By the Menger theorem, it also equals the maximum number of internally vertex-disjoint - paths.
A linked graph is -linked if it has at least vertices and, for every choice of distinct terminals , it has pairwise vertex-disjoint graph paths joining to for all . The pairing is prescribed, which is stronger than the unpaired conclusion of the Menger theorem.
We prove the rooted dense minor linkage step carefully. We first prove the rooted branch-set reduction. Let be even, let , and suppose a graph has disjoint nonempty vertex sets , where . Suppose each is connected or every one of its graph components meets , and each is adjacent to all but at most of the other not meeting . Assume also that no rooted separation of a graph of order below avoids of these sets. Then there are disjoint connected vertex sets such that for and each of these first sets is adjacent to all but at most of .
Here adjacency of sets means existence of an edge between them. A rooted separation of a graph is with , , no edges between and , and order . It avoids when . We prove the reduction by induction, first on the vertex count and then on the edge count; any counterexample chosen minimal in this ordering will be impossible.
We may delete edges joining two vertices of . They cannot affect rooted separations of a graph, since lies wholly on the first side. Within a branch set, their deletion can only split a graph component into graph components each containing an endpoint in , so the branch-set hypothesis also persists. An isolated vertex outside and all branch sets can be deleted. An isolated vertex is also impossible, since has order and avoids at least sets. Thus in a minimal counterexample is independent, and every isolated vertex outside belongs to a singleton branch set.
Consider a rooted separation of a graph of order exactly avoiding at least branch sets, and put . Restrict to and . Each is nonempty: any not itself avoided is adjacent to at least one of the avoided sets, and the endpoint of such an edge in must lie in . If a graph component of misses , it lies in and is a whole graph component of , with no vertex of . The original hypothesis then forces to be connected and , entirely outside . Thus each restricted set is connected or all its graph components meet . In particular every missing equals an original set outside , so all its required adjacencies from persist.
A rooted separation of a graph of avoiding restricted sets lifts to in , of the same order: an avoided restricted set misses , hence is an original set outside . The edges removed inside do not obstruct lifting, since . This proves the required separation hypothesis for . If is smaller, induction gives the desired connected sets rooted at . Moreover has disjoint graph paths from to , by the Menger theorem. Indeed a separator of smaller order between these sets would give a rooted separation of a graph of of smaller order still avoiding those original sets. Truncate the graph paths at their first visits to , label their endpoints accordingly, and adjoin each graph path to the corresponding rooted connected set. They meet only in their distinct endpoints, so this gives the desired sets for , a contradiction. Consequently in a minimal counterexample every such separation of order has and , an independent set.
Now contract any edge whose endpoints do not belong to two different branch sets. Its endpoints cannot both lie in , so the image of still has size . The branch-set conditions persist. If the contraction created a forbidden rooted separation of a graph of order below , its lift would have order below , except possibly when the contracted vertex lies in its separator. In that case the lifted order increases by one and is at most . Equality would put the contracted edge inside , contradicting the just-proved independence of for an order- separation avoiding sets. Thus the separation hypothesis also persists. Applying induction in the contracted graph and expanding the contracted vertex would produce the required disjoint connected sets. Hence every edge in a minimal counterexample joins two different branch sets.
Every vertex outside the branch sets would be isolated, since every edge joins two branch sets; such an isolated vertex could be deleted. Thus the branch sets cover the graph. Each nonsingleton branch set is therefore an independent set, and all its vertices belong to , because each of its singleton graph components must meet . Let be the union of the nonsingleton branch sets, and write . There is a matching in a graph from into . Otherwise the Hall marriage theorem gives with neighbourhood satisfying . Since is independent, is a rooted separation of a graph of order . It avoids every singleton branch set outside , of which there are at least
The penultimate counting bound uses that the nonsingleton sets number at most , so . This contradicts the separation hypothesis.
Use that matching in a graph to make a two-vertex connected set for each terminal in ; terminals outside remain singleton sets. There are at least
unused vertices, all singleton original branch sets. Choose of them for the remaining . Every rooted contains a singleton original branch set: either its terminal, or its terminal's matched neighbour. That singleton misses at most of the selected nonterminal singleton sets. This constructs exactly the desired family, contradicting minimality and proving the branch-set reduction.
Return to the given -connected graph. By the allowed assumption it has a graph minor with , where . Put . Then
Take a branch-set model of and the prescribed terminals as . The branch sets are connected and each misses at most of the others. The separation hypothesis holds with : a separation of order below avoiding a branch set would separate a surviving terminal from that set, contrary even to -connectivity. Since , the reduction applies. It produces sets with , , each terminal set missing at most of the nonterminal sets. For each pair at least
nonterminal sets are adjacent to both. Choose different such sets for the pairs successively. The connected graph property inside the three sets and the two joining edges give a graph path from to ; take a simple graph path within their union. Different graph paths use disjoint sets. We have proved
In fact the argument proves the stronger transfer statement with -connectivity and the stated dense graph minor.
For the negative assertion, it suffices to give a value of for which the proposed general implication fails. Take and the graph on cyclic indices in which two indices are adjacent when their cyclic distance is one or two. This is the four-connected planar obstruction to two-linkage. Draw the even cycle in a graph as the outer square, the odd cycle in a graph as an inner square rotated by degrees of vertices, and join each odd vertex to the two neighbouring even vertices; the annulus is triangulated without crossings. The outer face has vertices in this order.
Figure 1.
A four-connected planar graph with alternating terminal pairs on a square face
. Details.
Deleting at most three vertices leaves the graph connected. In cyclic order, consecutive surviving vertices are joined unless separated by a run of at least two deleted vertices. Disconnection requires two distinct such runs, hence at least four deletions. Conversely deleting the four neighbours of a vertex isolates it, so the vertex connectivity is exactly four. Disjoint graph paths joining to and to cannot exist: both would lie in the closed disk complementary to the outer face, and their endpoints alternate on its boundary. A first such graph path is a crosscut of the disk; the Jordan curve theorem puts the other two endpoints on opposite sides, forcing the second graph path to meet it. Thus
This is a counterexample to the unrestricted implication; no claim that the same construction works for every is needed.
A Plünnecke graph is a finite directed layered graph , with edges only from to , satisfying two commutation conditions. For each edge , the successors of can be matched injectively into the successors of , so that the matched predecessor has an edge to the original successor. Dually, the predecessors of can be matched injectively into the predecessors of , so that each original predecessor has an edge to its match. These are upward and downward commutation. For nonempty bottom subsets define the graph magnification ratio
Addition graphs have layer and edges : exchanging the order of two additions gives exactly these matchings.
We prove a slightly stronger weighted cut lemma for commutative graphs, which also explains part (ii). Give vertices in weight , for any . A separating set meets every bottom-to-top path. There is a minimum-weight separating set contained in . We first establish its local three-layer step.
Consider a three-layer channel , every vertex of which lies on a full path, and suppose the middle layer is a minimum-weight cut. Replacing a subset by all its successors or all its predecessors still gives a cut. Minimality implies
Let be the vertices of incoming degree . Partition into according to the largest incoming degree of one of their predecessors. Then
Downward commutation makes incoming degree nondecreasing along an edge. Thus every vertex of has at least predecessors, and summing the last inequalities over gives
Reverse all edges and interchange the endpoint layers. The graph still satisfies both commutation conditions, and the expansion factor becomes . The same argument now gives the opposite inequality . Equality must therefore hold at every step. In particular the suffix inequality at is an equality, and the reversed argument gives
Consequently the bottom layer has exactly the middle layer's weight. This proves the local replacement lemma.
For a general minimum cut , write , and take its highest nonempty intermediate portion , . Form the three-layer channel whose bottom vertices are reachable from while avoiding the earlier cut portions, and whose top vertices can reach . Its middle layer is exactly : any other middle vertex would produce an uncut full path, while every member of is essential in a positive-weight minimum cut and hence lies on such a path when that vertex alone is allowed. Channels inherit the commutation matchings: the replacement intermediate vertices still join the same prefix and suffix paths.
The middle layer is a minimum cut within this channel, since a cheaper local separator would replace and make the global cut cheaper. Apply the local lemma, with weights scaled by the common factor , to replace by the channel's bottom layer. This does not increase weight and removes the highest intermediate cut layer. Repetition leaves a minimum cut in the endpoint layers, proving the weighted cut lemma. Vertices lying on no full path can first be deleted; when all bottom vertices survive, and deleting such branches can only decrease intermediate images, so proving the lower bounds in the channel suffices.
Now take and assume . If a minimum endpoint cut is , then , so
The bottom layer itself is a cut, so the minimum cut size is . For every nonempty , the set is also a cut. Its size must be at least , proving
One may also apply the permitted Menger theorem to obtain vertex-disjoint full paths, giving the same conclusion. The proof above establishes the needed cut statement directly.
For nonadjacent vertices , the local connectivity is the minimum cardinality of an - vertex separator: a set such that and lie in different components of .
To prove the vertex form of the Menger theorem, replace every vertex by an arc of capacity one. Replace every undirected edge by directed arcs from to and conversely, each of capacity larger than ; leave unsplit. An integral - flow of value decomposes into paths, and the unit-capacity vertex arcs force the corresponding graph paths to be internally vertex-disjoint paths. Conversely, such paths give an integral flow of value .
Because and are nonadjacent, any finite minimum cut consists entirely of unit-capacity vertex arcs. These arcs correspond exactly to an - vertex separator of the same size. The max-flow min-cut theorem, whose augmenting-path proof also guarantees an integral maximum flow for integral capacities, therefore gives
In particular, contains the required set of paths.
The vertex form of Menger theorem states that if and are distinct nonadjacent vertices of a finite graph, then the maximum number of pairwise internally vertex-disjoint paths from to equals the minimum cardinality of an - vertex separator.
The Hall marriage theorem says that a bipartite graph with classes has a matching saturating if and only if
where is the graph neighbourhood of . Necessity follows because the matching sends the vertices of to distinct vertices of .
For sufficiency, add vertices , join to every vertex of , and join every vertex of to . Let be an - vertex separator, and write and . If an edge joined a vertex of to a vertex of , it would give an - path avoiding . Hence
Hall's condition gives
and therefore . By Menger theorem, there are internally vertex-disjoint - paths. Each has the form with and ; disjointness makes all the and all the distinct. Their middle edges form a matching saturating .
Menger theorem says that the maximum number of pairwise vertex-disjoint -- paths equals the minimum size of an -- separating vertex set, with the standard convention that the path endpoints lie in . The connectivity is the minimum number of vertices whose deletion disconnects or leaves a single vertex; .
The vertex form says that for distinct nonadjacent vertices , the maximum number of internally vertex-disjoint -- paths equals the minimum size of an -- separator disjoint from . It follows from the set form by splitting off the endpoints, or by applying it to their neighbor sets after deleting .
Now let be a longest cycle. If , some component of exists. Its neighbor set is a vertex separator, so it contains at least vertices. No two of these attachment vertices can be consecutive on : a path through the connected component between consecutive attachments would replace their edge by a path of at least two edges and create a longer cycle. Thus contains at least one nonattachment between each of at least attachments, and , a contradiction.
Let be even, let , and suppose a graph has disjoint nonempty vertex sets , where . Suppose each is connected or every one of its graph components meets , and each is adjacent to all but at most of the other not meeting . Assume also that no rooted separation of a graph of order below avoids of these sets. Then there are disjoint connected vertex sets such that for and each of these first sets is adjacent to all but at most of .
Here adjacency of sets means existence of an edge between them. A rooted separation of a graph is with , , no edges between and , and order . It avoids when . We prove the reduction by induction, first on the vertex count and then on the edge count; any counterexample chosen minimal in this ordering will be impossible.
We may delete edges joining two vertices of . They cannot affect rooted separations of a graph, since lies wholly on the first side. Within a branch set, their deletion can only split a graph component into graph components each containing an endpoint in , so the branch-set hypothesis also persists. An isolated vertex outside and all branch sets can be deleted. An isolated vertex is also impossible, since has order and avoids at least sets. Thus in a minimal counterexample is independent, and every isolated vertex outside belongs to a singleton branch set.
Consider a rooted separation of a graph of order exactly avoiding at least branch sets, and put . Restrict to and . Each is nonempty: any not itself avoided is adjacent to at least one of the avoided sets, and the endpoint of such an edge in must lie in . If a graph component of misses , it lies in and is a whole graph component of , with no vertex of . The original hypothesis then forces to be connected and , entirely outside . Thus each restricted set is connected or all its graph components meet . In particular every missing equals an original set outside , so all its required adjacencies from persist.
A rooted separation of a graph of avoiding restricted sets lifts to in , of the same order: an avoided restricted set misses , hence is an original set outside . The edges removed inside do not obstruct lifting, since . This proves the required separation hypothesis for . If is smaller, induction gives the desired connected sets rooted at . Moreover has disjoint graph paths from to , by the Menger theorem. Indeed a separator of smaller order between these sets would give a rooted separation of a graph of of smaller order still avoiding those original sets. Truncate the graph paths at their first visits to , label their endpoints accordingly, and adjoin each graph path to the corresponding rooted connected set. They meet only in their distinct endpoints, so this gives the desired sets for , a contradiction. Consequently in a minimal counterexample every such separation of order has and , an independent set.
Now contract any edge whose endpoints do not belong to two different branch sets. Its endpoints cannot both lie in , so the image of still has size . The branch-set conditions persist. If the contraction created a forbidden rooted separation of a graph of order below , its lift would have order below , except possibly when the contracted vertex lies in its separator. In that case the lifted order increases by one and is at most . Equality would put the contracted edge inside , contradicting the just-proved independence of for an order- separation avoiding sets. Thus the separation hypothesis also persists. Applying induction in the contracted graph and expanding the contracted vertex would produce the required disjoint connected sets. Hence every edge in a minimal counterexample joins two different branch sets.
Every vertex outside the branch sets would be isolated, since every edge joins two branch sets; such an isolated vertex could be deleted. Thus the branch sets cover the graph. Each nonsingleton branch set is therefore an independent set, and all its vertices belong to , because each of its singleton graph components must meet . Let be the union of the nonsingleton branch sets, and write . There is a matching in a graph from into . Otherwise the Hall marriage theorem gives with neighbourhood satisfying . Since is independent, is a rooted separation of a graph of order . It avoids every singleton branch set outside , of which there are at least
The penultimate counting bound uses that the nonsingleton sets number at most , so . This contradicts the separation hypothesis.
Use that matching in a graph to make a two-vertex connected set for each terminal in ; terminals outside remain singleton sets. There are at least
unused vertices, all singleton original branch sets. Choose of them for the remaining . Every rooted contains a singleton original branch set: either its terminal, or its terminal's matched neighbour. That singleton misses at most of the selected nonterminal singleton sets. This constructs the desired family and completes the proof.