When almost all sets are difference dominated
Peter Hegarty, Steven J. Miller

TL;DR
This paper proves that for a wide range of random subsets of {0,...,N}, the difference set is almost always larger than the sum set, revealing a threshold phenomenon and extending results to generalized difference sets and binary linear forms.
Contribution
It confirms a conjecture that almost all such random subsets are difference dominated and characterizes the threshold behavior of sum and difference set sizes.
Findings
Almost all random subsets are difference dominated as N grows large.
Identifies a threshold at p(N) ~ N^{-1/2} where the ratio of difference to sumset size transitions.
Extends results to generalized difference sets and binary linear forms with sharp thresholds.
Abstract
We investigate the relationship between the sizes of the sum and difference sets attached to a subset of {0,1,...,N}, chosen randomly according to a binomial model with parameter p(N), with N^{-1} = o(p(N)). We show that the random subset is almost surely difference dominated, as N --> oo, for any choice of p(N) tending to zero, thus confirming a conjecture of Martin and O'Bryant. The proofs use recent strong concentration results. Furthermore, we exhibit a threshold phenomenon regarding the ratio of the size of the difference- to the sumset. If p(N) = o(N^{-1/2}) then almost all sums and differences in the random subset are almost surely distinct, and in particular the difference set is almost surely about twice as large as the sumset. If N^{-1/2} = o(p(N)) then both the sum and difference sets almost surely have size (2N+1) - O(p(N)^{-2}), and so the ratio in question is almost…
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Taxonomy
TopicsLimits and Structures in Graph Theory · Analytic Number Theory Research · Mathematical Approximation and Integration
