Solution

ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2013/iii/paper-11/1/solution

For a finite nonempty set , its additive energy is
where counts ordered representations. Since , Cauchy-Schwarz gives
Thus implies : a small doubling constant forces many additive quadruples.
A polynomial form of the Balog-Szemerédi-Gowers theorem gives the converse after passing to a subset. There are absolute constants such that if , , then some satisfies
The exponent and constants here need not be optimal.
Precisely, a graph form of the Balog-Szemerédi-Gowers theorem states the following. If are finite sets of size in an abelian group, has at least edges, and its restricted sumset
has size at most , then there are , with and
These are uniform absolute constants, valid for and .
To apply this theorem to additive energy, let and retain the sums with . The discarded sums contribute at most to the additive energy. Since , the retained pairs number at least . There are at most retained sums. They therefore define a bipartite graph of density at least with restricted sumset size at most . The graph theorem supplies large subsets with polynomially bounded .
For completeness, turn this cross-sumset bound into a doubling constant bound. The Ruzsa triangle inequality gives . If , the Plünnecke inequality, applied to the pair , gives . The minimal-growth proof below in Question 5 applies to arbitrary finite pairs and proves this particular expansion estimate as well. All losses are fixed powers of , proving the displayed converse after increasing .
The requested dense bipartite common-neighbour lemma is a dependent random choice assertion. Call an ordered pair in bad when it has fewer than common neighbours. Choose uniformly, and put . Then
For each bad pair, the probability that both endpoints lie in is its number of common neighbours divided by , which is less than . Thus the expected number of bad ordered pairs in is at most . Consequently
Choose a neighbourhood attaining at least this expectation. It has , and
Hence at least the proportion of its ordered pairs have at least two-edge connections. As usual these connections are counted by common neighbours, including a return walk for a diagonal ordered pair; assume , as the formula requires.
The relevance to the graph theorem is that many two-edge connections turn a sparse collection of permitted sums into additive control on a large vertex subset. On a connection , expresses a difference using two elements of the restricted sumset. The abundance of connections, followed by standard cleaning and further path counting, bounds the number of differences without throwing away most vertices. This is the role of dependent random choice in obtaining polynomial losses in the graph form of the Balog-Szemerédi-Gowers theorem.

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