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Browse › Convex and metric geometry › 091 Logarithmic and Lp Brunn–Minkowski inequalities and the B-conjecture

The logarithmic Brunn–Minkowski conjecture

OpenAI · September 23, 2026

Lean

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Abstract

We prove the logarithmic Brunn–Minkowski conjecture for arbitrary origin-symmetric convex bodies in every dimension. The theorem also gives the symmetric Lp Brunn–Minkowski inequality for every $0\lt p\lt 1$. Combined with Saroglou's transfer theorem and a support-subspace reduction, it yields the logarithmic inequality for every even log-concave Radon measure and the scalar-dilation $(B)$-conjecture.

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Notes

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Automatically collected notes (unreviewed)

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

  • Galyna V. Livshyts, AI-generated math explorations (personal webpage, undated; accessed 2026-10-21). Describes prompting ChatGPT to develop theory around the OpenAI log-Brunn–Minkowski proof and highlights the resulting correlation-type exploration and shorter scalar B-conjecture argument.

Formalization

  • OpenAI math release, Lean scope notes for family 091 (lean/docs/091.md, 2026-10-06). States that the formalization covers the Lebesgue-volume inequality of Theorem 1.1 for origin-symmetric convex bodies for every n ≥ 1 and 0 ≤ t ≤ 1, without smoothness or unconditionality assumptions; the L_p corollary and the measure/(B)-conjecture consequences are not listed in its scope. [family-level]
  • OpenAI, ComparatorChallenges/LogBrunnMinkowski.lean (openai/math, commit adc7f12). The Comparator statement of Theorem 1.1, with the logarithmic combination defined as the Wulff shape of h_K^(1−t) h_L^t; the proof is left as sorry.
  • OpenAI, lean/OAI/Geometry/LogVolume/BrunnMinkowski.lean (openai/math, commit adc7f12). This is the release's Lean proof file for the main theorem, about 24,500 lines long.
  • anxkhn, Add the origin-symmetric logarithmic Brunn–Minkowski inequality (google-deepmind/formal-conjectures issue #6973, 8 Oct 2026). Proposes adding Theorem 1 (symmetric volume inequality only) to formal-conjectures; equality cases, measure extensions and L_p consequences are out of scope. [AI-generated per source]
  • anxkhn, feat(Paper): add logarithmic Brunn–Minkowski (google-deepmind/formal-conjectures PR #6978, opened 8 Oct 2026, open). Adds the statement and a bridge to the release's Lean theorem, with the author reporting kernel checks using only standard axioms; reviewer bocowgill reports (10–11 Oct) that the statement and Wulff-body definitions match Theorem 1.1, with Comparator verification still marked incomplete. [AI-generated per source]

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

Digests and expositions

Elsewhere

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Cite

@misc{OAI:The-logarithmic-Brunn-Minkowski-conjecture-September-23-2026,
  author = {{OpenAI}},
  title = {{The logarithmic Brunn--Minkowski conjecture}},
  howpublished = {OpenAI Math Release preprint
                  \href{https://github.com/openai/math/blob/main/preprints/The-logarithmic-Brunn-Minkowski-conjecture-September-23-2026/paper.pdf}{OAI:The-logarithmic-Brunn-Minkowski-conjecture-September-23-2026}},
  year = {2026}
}

Lean formalization

OpenAI provides Lean files for this family: lean/docs/091.md. The Lean statements have not been checked by people against the paper's claims.

Family 091: Logarithmic and Lp Brunn–Minkowski inequalities and the B-conjecture

Proves the logarithmic Brunn–Minkowski inequality for origin-symmetric convex bodies in every dimension, and the scalar-dilation B-conjecture for all even log-concave Radon measures. For Lebesgue volume it also proves the additive Lp Brunn–Minkowski inequality for full-dimensional origin-symmetric convex bodies throughout $0\lt p\lt 1$.

This is the only paper in this family.