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Symplectic Ball Packings in Higher Dimensions

OpenAI · September 23, 2026

Lean

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Abstract

We prove that, for all integers n ≥ 3 and k ≥ 1 and all positive real capacities $R_1,\ldots,R_k$, the closed standard symplectic $2n$-balls of these capacities embed disjointly into the interior of a ball of capacity R > 0 if and only if $\displaystyle \sum_{i=1}^k R_i^n\lt R^n, \qquad R_i+R_j\lt R\quad(i\ne j).$ Capacity is π times the squared Euclidean radius, and each embedding is defined on a neighborhood of its closed source ball. This proves Siegel and Yao's Conjecture A.

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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.

Comments and discussion

Formalization

  • OpenAI math release, Symplectic ball packing in higher dimensions (Lean scope notes) (lean/docs/343.md, release of 2026-10-06). The release's scope note says the Lean development states and proves the full criterion of Theorem 1.1 (volume and pairwise inequalities, closed balls, $n\ge3$) as well as the necessity direction, via the comparator files BallPacking.lean and BallPackingNecessity.lean. [AI-generated per source]
  • OpenAI, lean/OAI/Geometry/BallPacking/Main.lean (github.com/openai/math, commit adc7f12). The top-level Lean file states main_theorem, the equivalence of HasPacking and PackingInequalities for $n\ge3$, $k\ge1$, as a wrapper around imported rigidity and packing modules. [AI-generated per source]

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

Digests and expositions

  • Latent Seminar, Symplectic ball packings in higher dimensions (2026-10-07). Explains the capacity criterion, Hamiltonian rearrangement, surface-handle construction and three geometric cases, explicitly attributing the conclusions to the manuscript and disclaiming independent verification of the complete proofs.

Elsewhere

Independent sites; their content is not reviewed here.

Cite

@misc{OAI:Symplectic-Ball-Packings-in-Higher-Dimensions-September-23-2026,
  author = {{OpenAI}},
  title = {{Symplectic Ball Packings in Higher Dimensions}},
  howpublished = {OpenAI Math Release preprint
                  \href{https://github.com/openai/math/blob/main/preprints/Symplectic-Ball-Packings-in-Higher-Dimensions-September-23-2026/paper.pdf}{OAI:Symplectic-Ball-Packings-in-Higher-Dimensions-September-23-2026}},
  year = {2026}
}

Lean formalization

OpenAI provides Lean files for this family: lean/docs/343.md. The Lean statements have not been checked by people against the paper's claims.

Family 343: Symplectic ball packing in higher dimensions

Resolves the Siegel–Yao conjecture for arbitrary capacities in every dimension $2n\ge6$. Finitely many closed symplectic balls of capacities $R_1,\ldots,R_k$ embed disjointly into an open ball of capacity R exactly when $\sum_iR_i^n\lt R^n$ and $R_i+R_j\lt R$ for every distinct pair i, j.

This is the only paper in this family.