Write for a balanced complete multipartite blow-up with classes of size . In the nonvacuous range , the answer is
We prove both bounds, including the quantitative lower bound.
First, suppose a bipartite graph with parts , of sizes , has at least edges. For any integer , counting pairs consisting of an -subset of and a common neighbour in gives
The inequality follows from discrete convexity: is nondecreasing, so balancing integer degrees of vertices minimizes their sum. Consequently some has
The product estimate uses for . This is a common neighbourhood from bipartite density bound.
We next prove by induction on that, for every fixed , a graph of order with minimum degree at least contains , for some and all sufficiently large . Impossible minimum-vertex degree parameters need no argument. For , take two copies of with adjacency given by . The preceding count with and , where , gives at least common neighbours. The selected vertices and their common neighbours are disjoint in , since a vertex is not its own neighbour. Selecting common neighbours gives .
For , the minimum degree hypothesis implies the induction hypothesis for , for example with excess . Thus contains with for a positive constant . Pair the vertices in its classes into disjoint transversal cliques , each of order . By the union bound, every has at least
common neighbours. Form an auxiliary bipartite graph between these cliques and the vertices, using common-neighbour incidence, and put . Choose small enough that and . The count above, with , gives cliques with at least simultaneous common neighbours. Their vertices form classes of size , and of those common neighbours form the last class. None of the common neighbours belongs to a selected clique, because that would require a loop. This proves the logarithmic clique blow-up from minimum degree assertion.
To pass from an edge count to minimum degree, put and . Repeatedly remove a vertex whose current degree of a vertex is below times the current order. If the process reaches order , its deleted edges and remaining edges give
Thus . In particular, for a fixed sufficiently small , the process cannot reach : the displayed inequality would fail. It stops earlier with a subgraph of order and minimum degree at least . The induction just proved supplies , hence a lower bound on . In particular, the guaranteed part size tends to infinity.
For the upper bound, choose a fixed with and take a binomial random graph . Its edge count has expectation and variance . The Chebyshev inequality shows that with probability tending to one. The expected number of labeled copies of is at most
For and , this tends to zero. The Markov inequality therefore shows that with positive probability both the required edge density holds and there is no such copy. This proves and completes the random obstruction to larger clique blow-ups argument.
There is a necessary qualification to the density parameter. If , the only eligible graph is the complete graph, and . If and , there are no eligible simple graphs; the universal assertion is vacuous for every , so the printed maximum has no finite value in that range.
Each vertex of a bipartite graph has a strict preference ordering of its neighbours; every neighbour is preferred to being unmatched. A stable matching in a bipartite graph is a matching in a graph with no blocking edge: an unused edge blocks if both endpoints prefer each other to their assigned partners, interpreting an unmatched endpoint as willing to accept any neighbour. Stability does not require a perfect matching in a graph.
For existence, run the Gale-Shapley algorithm. Whenever a vertex in the first part is unmatched and has an untried neighbour, it proposes to its most preferred untried neighbour. A receiver keeps its preferred proposal and rejects the other, including any previously held proposal. At most proposals occur, so the procedure stops with a matching in a graph. Suppose an edge blocked this final matching in a graph. Since prefers to its final partner, or is unmatched, must have proposed to . But a receiver's held proposal only improves, so 's final partner is preferred to if was rejected. If was not rejected, the edge is in the matching in a graph. Both alternatives contradict blocking. Every finite bipartite preference instance therefore has a stable matching.
For the mutual-worst edge in stable matchings, let be stable matchings with and . We give the argument using alternating graph components including possible unmatched endpoints. If were unmatched in , then would have to prefer its -partner to , since otherwise would block . Following the -edge from , stability of forces its other endpoint to have and prefer an -partner. Stability of then forces the next vertex to have and prefer an -partner. These implications continue along the alternating graph component of . They cannot stop, because at a missing next edge the preceding edge would block the appropriate matching in a graph. They also cannot close into a cycle in a graph, since the graph component already has endpoint . This contradiction proves that is matched in . The same reasoning applies to .
Now prefers its -partner to , because is its worst choice. Along the alternating graph component, stability of forces that partner to prefer its -partner; stability of forces the next vertex in 's part to prefer its -partner, and so on. A graph path graph component is impossible by the same endpoint argument, so this is a cycle in a graph. Thus throughout this cycle in a graph the part containing prefers and the part containing prefers . In particular must prefer to its -partner. That contradicts being 's worst choice. Hence an edge ranked last by both endpoints, if present in one stable matching, is present in every stable matching.
For the list edge coloring assertion, let be the maximum degree. We first prove that the chromatic index is . Use induction on the number of edges, with a proper -edge coloring of . Some color is missing at and some color is missing at . If , color with it. Otherwise the edges of colors form alternating graph paths and even cycles in a graph. The graph component containing cannot contain : an alternating graph path from , starting with color , would end at with color , have even length, and place in the same bipartition class. Swap in the graph component containing . Now is missing at both ends of , so it can be colored . The lower bound is immediate at a vertex of vertex degree .
Fix such a proper coloring . Orient the line graph toward the smaller color at vertices in the first part of , and toward the larger color at vertices in the second part. A vertex of the line graph corresponding to an edge of color has outdegree at most
Every induced subgraph of this orientation has a digraph kernel. Indeed, restrict to its edge set in the original bipartite graph, give first-part vertices a preference for smaller colors and second-part vertices a preference for larger colors, and choose a stable matching. Its edges form an independent set in the line graph. Every edge outside the matching in a graph has an endpoint whose partner is preferred to it, by stability; thus it has an outgoing edge to the independent set. This proves that the orientation is a kernel-perfect directed graph.
Here is the kernel list-coloring lemma with its proof. If a kernel-perfect directed graph has lists satisfying , choose any color appearing in a list and a digraph kernel of the induced subgraph on vertices whose lists contain . Color with , delete , and delete from the remaining lists. Each remaining vertex that loses a color had an outgoing neighbour in , so its outdegree decreases by at least one; the list inequality persists. Vertices not losing a color also retain the inequality. Induction on the number of vertices completes a proper list coloring.
Lists of size satisfy that lemma for our oriented line graph, so . Identical lists show . Consequently the Galvin theorem for bipartite list edge coloring gives
The empty graph is immediate; if parallel edges are allowed, orient their line-graph adjacency in both directions when the two endpoints prescribe opposite directions. The outdegree bound still holds, and the same stable matching and digraph kernel proof applies with preferences on incident edges.
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.
We use the following precise form of the Szemerédi regularity lemma. For every and positive integer , there are integers such that every graph on vertices has a partition
with at most irregular unordered pairs among the nonexceptional classes. Here for disjoint nonempty sets, and is an -regular pair if
whenever , , , .
For the proof, let be the adjacency indicator, including , and define by averaging on even for diagonal cells. The regularity energy of a partition is
Every exceptional vertex is represented by its own singleton cell in this energy. If a rectangle is refined into smaller rectangles with densities and weights , expanding the square gives the refinement variance identity for regularity energy
Thus refinement never decreases energy.
Suppose an equitable partition with classes of size fails the desired conclusion. For every irregular pair choose witness subsets , , each of size at least , whose density differs from by more than . Split each class by all witness subsets involving it. Each class has at most atoms. On a witness rectangle, the weighted mean of is . The Cauchy-Schwarz inequality therefore bounds the energy increment on this rectangle below by
The different original cell pairs have disjoint rectangles. More than irregular unordered pairs, with both orientations counted in the energy, thus increase it by more than . As long as , this is greater than , and in particular greater than .
Restore equitability by dividing each atom into pieces of common size , moving each leftover vertex into the exceptional set as a singleton energy cell. This remains a refinement, so the energy gain persists. There are at most atoms, so the additional exceptional vertices number at most
If , then , and the new number of equal cells satisfies . For the lower bound, within each old class the leftover count is at most , so at least one full new cell survives. For the upper bound, , using . This proves equalization with a controlled exceptional set without any energy loss.
Put . Choose with . Start with equal classes and fewer than exceptional vertices. Iterate the bounded recurrence times to obtain a bound . Choose so large that the initial remainder is at most and, for every , . The total exceptional set remains at most , since at most rounds each add at most . Each failing round raises an energy in by more than , so fewer than rounds can fail. This proves the lemma with all constants independent of the input graph.
For the application, write and . We may replace the given tolerance by a smaller one, so assume . Set , take , and choose
Apply the lemma and delete all edges incident with , all edges inside a class, all edges across irregular pairs, and all edges across regular pairs of density below . The resulting spanning subgraph loses at most
Let be the reduced graph of a regularity partition, whose edges represent the surviving regular pairs of density at least . We show that a copy of in forces a copy of in .
Choose a proper -coloring of and assign its color classes to the corresponding clusters. Embed its vertices one at a time. For each unembedded vertex maintain the candidate set in its cluster consisting of unused vertices adjacent to all already embedded neighbours. After at most restrictions its size is at least . This last quantity is at least when is large, so every such candidate set is large enough for regularity. In an -regular pair of density , fewer than vertices on one side have fewer than neighbours in any fixed set on the other side of size at least : otherwise these vertices and violate regularity. For the vertex currently being embedded, there are at most relevant future candidate sets. At most vertices are bad for one of them. Its own candidate set has at least vertices, so an unused good vertex can be chosen. All future candidate sets shrink by at most the factor , apart from the removal of a used vertex; the stated size bound follows inductively, since the accumulated removals are at most . This completes the graph embedding lemma for regular pairs in the form needed here.
Since is -free, is -free. Any in would use distinct clusters, because intraclass edges were deleted, and project to a in . Therefore
The required threshold on depends only on and , since makes every nonexceptional cluster sufficiently large.

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