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Statement
Notation (pp. 410-411). , so the square is not in , and is an additive complement of if every sufficiently large integer is with and .
Theorem 1.2 (p. 413). Let and be any positive constants with
If satisfies
then is not an additive complement of .
The inequality is required for every ; the constant absorbs any finite initial segment, which is how Corollary 1.1 is deduced. The context is a question Ben Green put to the second author (p. 412): whether some additive complement of has , displayed as (1.1). Green observes there that (1.1) gives and . Theorem 1.2 excludes only lower-order deviations of size and does not answer Green's question.
Source. Yong-Gao Chen and Jin-Hui Fang, Additive complements of the squares, J. Number Theory 180 (2017), 410-422, doi:10.1016/j.jnt.2017.04.016: Green's question on p. 412, Theorem 1.2 on p. 413, its proof on pp. 417-421. The edition read is identified on the source card.
Read depth. Claims checked: the statement was read clause by clause on the printed page. The proof (pp. 417-421) was read but not checked step by step. Nothing here is independently reviewed.
Proof pointer
Pages 417-421. Suppose is a complement. Choose with (3.1), possible by the bound on , and assume nondecreasing from some point on. Case 1, infinitely often: then is at least of order along infinitely many , and bounding by , comparing with an integral and using the hypothesis, the surplus is at most for some , against Theorem 2.1. Case 2, for all large : the same integral comparison gives , whose leading coefficient is below by (3.1), so the complement property fails.
Dependencies
Theorem 2.1 of the same paper.
Bears on
- Problem 33: the problem asks for the smallest limsup, and whether the liminf exceeds , of over sets with every large integer , ; every additive complement of is such a set, and the converse need not hold. By Green's observation the profile is that of a set with counting function , the known lower bound for both quantities. Theorem 1.2 says a complement of cannot lie above that profile up to the stated error; it does not raise the lower bound for either quantity and does not determine the smallest limsup.