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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