A power saving for square-difference-free setsResearch Paper
Motivation: how large can a set avoid square differences?
A set is square-difference-free if no two of its elements differ by a perfect square with . The Furstenberg–Sárközy theorem says such sets have density tending to zero; the question is how fast. Writing for the largest size of a square-difference-free subset of , the problem is a prototype for polynomial patterns in dense sets: it is the simplest case of finding differences in the image of a polynomial, and it is the model problem on which Fourier-analytic, ergodic and density-increment methods for polynomial configurations are tested. A long-standing gap separates the upper bounds, which until recently saved only a power of (with a slowly growing exponent), from the lower bounds, which are powers and beyond. Whether a fixed power saving holds was posed explicitly by Green and Sawhney.
Background and timeline
- 1977–1978 — Answering a question of Lovász, Furstenberg (J. Analyse Math. 1977, Theorem 1.2) and Sárközy (Acta Math. Hungar. 1978) independently prove ; Sárközy's bound is .
- 1984 — Ruzsa constructs square-difference-free sets of size (Period. Math. Hungar. 1984).
- 1988 — Pintz, Steiger and Szemerédi prove (J. LMS 1988).
- 2008/2015 — Beigel and Gasarch (arXiv:0804.4892) and Lewko (Electron. J. Combin. 2015) improve the lower exponent to .
- 2022 — Bloom and Maynard prove (Compos. Math. 2022).
- 2024/2025 — Green and Sawhney prove and ask for a fixed power saving (arXiv:2411.17448, Theorem 1.1 and §1.1).
- 2026 — Adajar et al. extend the arithmetic level- approach to intersective polynomials (arXiv:2605.16216); Krachun pushes the lower exponent past , to (arXiv:2608.01325).
- 2026 — The OpenAI preprint A power saving for square-difference-free sets (OpenAI Math Release, September 24, 2026) claims with absolute constants. It has not been peer reviewed and its theorem is not formally verified.
Setting
For a positive integer write . A set is square-difference-free if
that is, for all and all integers . (Differences are taken in ; is allowed since is excluded from the squares.)
In Lean (namespace OAI.SquareDifference), sets are Finset ℤ contained in Finset.Icc 1 N, and IsSquareDifferenceFree A states a - b ≠ (m : ℤ)^2 for all a b ∈ A and m : ℕ with 1 ≤ m.
Formalization targets
Goal: a fixed power saving (Theorem 1.1)
There are absolute constants and such that for every integer and every square-difference-free ,
Equivalently, every subset of with more than elements contains two elements differing by a nonzero perfect square. The Lean goal is published on the platform with status Open. The statement fixes no numerical value of , so any improvement of the exponent leaves the goal unchanged.
Significance
The result itself. Every earlier upper bound saved less than any fixed power of ; the best, due to Green and Sawhney, saved . A fixed power saving changes the nature of the problem: it shows that the extremal exponent lies strictly below , so both upper and lower bounds are now polynomial and the remaining question is the value of the exponent, now known to lie between and . As an immediate consequence (Remark 1.2 of the source), the graph on joining integers differing by a square has chromatic number at least , a polynomial bound for the square-difference coloring problem.
Formalizing it. The statement is elementary and self-contained, involving only finite sets of integers. The proof combines a graph/tuple reformulation, reflection-positivity (chessboard) inequalities for a finite-field probability law, and an induction with fixed finite constructions. A formal proof would certify an argument whose constants are explicitly noted to be extremely small and not computed.
Difficulty
Density-increment arguments, starting from Sárközy's circle-method proof, gain a constant factor of density at each step but lose a power of the length of the progression on which they pass, so after the increments needed the saving is only logarithmic or quasi-logarithmic. The Green–Sawhney level- approach controls the relevant rational Fourier coefficients through hypercontractivity but still gives only . A power saving requires an argument whose loss does not compound with the number of iterations — a single estimate that converts square-difference-freeness into a polynomial density loss.
Formalization scope
- Sets are
Finset ℤinsideFinset.Icc 1 Nand is a natural number; the bound is uniform in . - The constants are existentially quantified before and ; is required and is a real number. The power is the real power.
- Differences are in and the excluded squares are with , so only nonzero squares are forbidden; differences in either order are covered because both and are tested.
- Needed infrastructure: Fourier analysis on and on , reflection-positivity/chessboard estimates, and graph-norm inequalities. Reusable pieces include a chessboard-estimate library and finite-field Fourier tools.
Selected references
- H. Furstenberg, Ergodic behavior of diagonal measures and a theorem of Szemerédi on arithmetic progressions, J. Analyse Math. 31 (1977). https://doi.org/10.1007/BF02813304
- A. Sárközy, On difference sets of sequences of integers. I, Acta Math. Acad. Sci. Hungar. 31 (1978). https://doi.org/10.1007/BF01896079
- I. Z. Ruzsa, Difference sets without squares, Period. Math. Hungar. 15 (1984). https://doi.org/10.1007/BF02454169
- J. Pintz, W. L. Steiger and E. Szemerédi, On sets of natural numbers whose difference set contains no squares, J. London Math. Soc. 37 (1988). https://doi.org/10.1112/jlms/s2-37.2.219
- R. Beigel and W. Gasarch, Square-difference-free sets of size , arXiv:0804.4892 (2008). https://arxiv.org/abs/0804.4892v3
- M. Lewko, An improved lower bound related to the Furstenberg–Sárközy theorem, Electron. J. Combin. 22 (2015). https://doi.org/10.37236/4656
- T. F. Bloom and J. Maynard, A new upper bound for sets with no square differences, Compos. Math. 158 (2022). https://doi.org/10.1112/S0010437X22007679
- B. Green and M. Sawhney, New bounds for the Furstenberg–Sárközy theorem, arXiv:2411.17448 (2025). https://arxiv.org/abs/2411.17448v2
- D. Krachun, Square-difference-free sets beyond the three-quarter barrier, arXiv:2608.01325 (2026). https://arxiv.org/abs/2608.01325v1
- OpenAI, A power saving for square-difference-free sets, OpenAI Math Release preprint, September 24, 2026 (Theorem 1.1, p. 2). https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/A-power-saving-for-square-difference-free-sets-September-24-2026/paper.pdf