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Convex and metric geometry

The smallest shape and its geometric dual

OpenAI research collection · 3 manuscripts · Source checked 2026-10-19

The idea in plain language

A convex shape has a partner called its polar, defined through geometric inequalities. This family claims to identify which shapes minimise the product of their volumes, in every dimension, and describes related inequalities and symplectic geometry results.

Why it matters

The family connects several areas of geometry. Its companion papers prove different statements, so the exact assumptions and formal scope matter.

Read the technical source claim

Resolves the symmetric and nonsymmetric geometric Mahler conjectures in every dimension, with Hanner polytopes and simplices as the respective volume-product minimizers and all equality cases classified. The corresponding sharp functional Mahler inequalities also hold. For n ≥ 2, every symmetric polar product K× K^\circ in dimension 2n has Gromov width 4.

Read the manuscripts

Short excerpts below come from OpenAI's abstracts. The full abstract and original PDF preserve the paper's precise scope.

MANUSCRIPT 01

The symmetric Mahler conjecture and its equality cases

We resolve the symmetric Mahler conjecture positively, including its equality classification. Every origin-symmetric convex body in ℝ^(n) has volume product at least 4^n/n!, with equality exactly for invertible linear images of Hanner polytopes.

This PDF is listed in OpenAI's formalization catalogue. See the scope and dependencies before interpreting coverage.

MANUSCRIPT 02

The Mahler Conjecture for General Convex Bodies

We resolve the Mahler conjecture for general convex bodies positively. For every convex body K\subset\mathbb R^n, n ≥ 1, with Santaló point s(K), |K||(K-s(K))^\circ|≥ (n+1)^{n+1}/(n!)^2, with equality exactly for simplices.

This exact PDF is not listed in the imported formalization catalogue. Family scope notes may contain further information.

MANUSCRIPT 03

Symplectic Balls in Symmetric Polar Products

For every integer n ≥ 2 and every origin-symmetric convex body K\subset\mathbb R^n, we prove that the Gromov width of \mathop{int}\nolimits K×\mathop{int}\nolimits K^\circ is 4. We construct smooth symplectic embeddings of standard balls of every capacity 0< c< 4 into this polar product. Volume preservation then resolves the…

Full source abstract

For every integer n ≥ 2 and every origin-symmetric convex body K\subset\mathbb R^n, we prove that the Gromov width of \mathop{int}\nolimits K×\mathop{int}\nolimits K^\circ is 4. We construct smooth symplectic embeddings of standard balls of every capacity 0< c< 4 into this polar product. Volume preservation then resolves the symmetric Mahler conjecture positively in every dimension.

This PDF is listed in OpenAI's formalization catalogue. See the scope and dependencies before interpreting coverage.

One signal in the wider AGI picture

New mathematical reasoning could help AI tackle harder scientific and computational problems. How reliably these skills transfer beyond mathematics will determine how much they contribute to general intelligence.

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