Given a finite set of integers A, its sumset is A+A:={ai+aj|ai,aj∈A}. We examine |A+A| as a random variable, where A⊂In=[0,n−1], the set of integers from 0 to n−1, so that each element of In is in A with a fixed probability p∈(0,1). Recently, Martin and O'Bryant studied the case in which p=1/2 and found a closed form for E[|A+A|]. Lazarev, Miller, and O'Bryant extended the result to find a numerical estimate for Var(|A+A|) and bounds on the number of missing sums in A+A, mn;p(k):=P(2n−1−|A+A|=k). Their primary tool was a graph-theoretic framework which we now generalize to provide a closed form for E[|A+A|] and Var(|A+A|) for all p∈(0,1) and establish good bounds for E[|A+A|] and mn;p(k). We continue to investigate mn;p(k) by studying mp(k)=limn→∞mn;p(k), proven to exist by Zhao. Lazarev, Miller, and O'Bryant proved that, for p=1/2, m1/2(6)>m1/2(7)<m1/2(8). This distribution is not unimodal, and is said to have a “divot” at 7. We report results investigating this divot as p varies, and through both theoretical and numerical analysis, prove that for p≥0.68 there is a divot at 1; that is, mp(0)>mp(1)<mp(2). Finally, we extend the graph-theoretic framework originally introduced by Lazarev, Miller, and O'Bryant to correlated sumsets A+B where B is correlated to A by the probabilities P(i∈B|i∈A)=p1 and P(i∈B|i∉A)=p2. We provide some preliminary results using the extension of this framework.
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