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Quantitative Superexponential Bounds for van der Waerden Numbers

OpenAI · September 23, 2026

Lean

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Abstract

We prove that there are absolute constants c > 0 and K0 such that $W_r(k)\gt k^{ck\lfloor\log_2 r\rfloor}$ for every $k\ge K_0$ and r ≥ 2. Consequently $W_r(k)^{1/k}\to\infty$ for each fixed r ≥ 2, giving a quantitative positive resolution of Erdős's superexponential-growth question, including the two-color case.

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work in progress

Collected automatically by AI tools (Claude Opus 5.5 and GPT-6 Astra, 2026-10-21) and not checked by a person. May be wrong or incomplete. Report an error.

Follow-up works

Comments and discussion

Formalization

  • OpenAI, lean/docs/160.md (Lean scope note, mirrored by mathcommunity) (OpenAI math release, 2026-10-06). The release's scope note: the Lean development proves $W(r,k)>k^{k\lfloor\log_2 r\rfloor/100000}$ for all $k\ge K$, $r\ge2$, together with growth limits, finiteness and boundary values, but not the paper's sharper intermediate estimates.
  • OpenAI, ProgressionColoring/Main.lean (github.com/openai/math, commit adc7f12). Contains uniform_lower_bound, exists_uniform_lower_bound, kthRoot_tendsto ($W_r(k)^{1/k}\to\infty$ for fixed $r$) and length_rate_tendsto; this file has no sorry, but it relies on imported modules.
  • OpenAI, QuantitativeVanDerWaerden.lean (comparator statement) (github.com/openai/math). The standalone statement of uniform_lower_bound, with $W$ defined as an sInf and the proof left as sorry (as a comparator statement); this is the file linked from erdosproblems.com and Bloom's post.
  • Google DeepMind formal-conjectures, ErdosProblems/138.lean (formal-conjectures repository). Marks erdos_138 ($\lim W(k)^{1/k}=\infty$) as solved, cites this paper as [OAI26], and links the OpenAI Lean proof as its formal proof; the quotient variant $W(k+1)/W(k)\to\infty$ is still marked open.
  • Rohan Arun, Add conditional proof reviews and partial Lean verification (GitHub draft PR #10, 2026-10-13). Reports a Lean package checking selected geometric lemmas, digit identities, coloring transfers and parameter inequalities for the follow-up refinement, with the full lower-bound theorems and major counting and local-lemma arguments explicitly outside its coverage. [AI-generated per source]

Possibly relevant literature (found by the agent, not checked)

Digests and expositions

News and blogs

  • Alex Myers, AI Digest: October 11th 2026 (Substack, 2026-10-11). Reports Rohan Arun's announced coefficient $1/25$ refinement of the van der Waerden bound as one outcome of community work following the OpenAI release.

Elsewhere

Independent sites; their content is not reviewed here.

Cite

@misc{OAI:Quantitative-Superexponential-Bounds-for-van-der-Waerden-Numbers-September-23-2026,
  author = {{OpenAI}},
  title = {{Quantitative Superexponential Bounds for van der Waerden Numbers}},
  howpublished = {OpenAI Math Release preprint
                  \href{https://github.com/openai/math/blob/main/preprints/Quantitative-Superexponential-Bounds-for-van-der-Waerden-Numbers-September-23-2026/paper.pdf}{OAI:Quantitative-Superexponential-Bounds-for-van-der-Waerden-Numbers-September-23-2026}},
  year = {2026}
}

Lean formalization

OpenAI provides Lean files for this family: lean/docs/160.md. The Lean statements have not been checked by people against the paper's claims.

Family 160: Superexponential van der Waerden numbers

Resolves Erdős's superexponential-growth question for van der Waerden numbers. If $W_r(k)$ is the least interval length forcing a monochromatic k-term progression in every r-coloring, then $W_r(k)\gt k^{ck\lfloor\log_2 r\rfloor}$ for an absolute c > 0, all r ≥ 2 and sufficiently large k, uniformly in r. In particular, $W_r(k)^{1/k}\to\infty$ for each fixed r.

This is the only paper in this family.