OpenAI claims global smoothness for 3D relativistic Vlasov–Maxwell (Lean)
Awaiting review
Importance: historic (5 of 5)The takeaway
Family 362 of OpenAI’s 6 Oct 2026 release (paper dated 23 Sept) concerns the three-dimensional one-species relativistic Vlasov–Maxwell system, the basic model of a collisionless plasma. The claim: every smooth, compactly supported particle density with finite-energy fields generates a unique global smooth solution, with no smallness or symmetry assumption. Glassey and Strauss showed in 1986 that solutions stay smooth as long as particle momenta stay bounded. Since then the large-data problem had been settled only under size, symmetry or dimension restrictions. A Lean statement of the full theorem was accepted in two independent comparator runs. OpenAI’s published reasoning summary says the final assertion rests on new estimates that the cited continuation theorem does not supply. We found no assessment by a kinetic theorist as of 29 Oct.
Status
- Claim
Awaiting review
- Our reporting
- Medium confidence
- Verification
- Peer-reviewed
- Importance
- Historic (5 of 5)
- Last verified
- 29 October 2026
Your AI and this story
- GPT-6 Astra159 days after its cutoff
- Claude Opus 5.598 days after its cutoff
- Gemini 4 Argon189 days after its cutoff
- Grok 4.7128 days after its cutoff
None of these four assistants can know about it. The closest, Claude Opus 5.5, stops 98 days before it.
Key facts
- Claim (abstract, verbatim): ‘We prove global existence and uniqueness for arbitrary smooth admissible initial data in the three-dimensional, one-species relativistic Vlasov–Maxwell system. … This resolves the large-data global classical regularity problem for this model, without size or symmetry restrictions on the data.’
- Earlier results, as the paper recounts them: Wollman’s local classical theory; global weak solutions (DiPerna–Lions; Rein); Glassey and Strauss’s bounded-momentum continuation criterion and global existence for dilute plasmas; lower-dimensional reductions (Glassey–Schaeffer); small-data and small-particle results (Schaeffer, Bigorgne, Wang, Wei–Yang); Xuecheng Wang’s large-data result for cylindrically symmetric data, which the paper dates to a ‘July 2026 two-paper treatment’. The paper: ‘These results use restrictions on size, dimension, or the reference configuration’
- Mechanism (paper §1.2): ‘The central estimate concerns the signed change of a particle’s momentum … We take the norm after integration.’ Lower bounds on the time needed to double the largest momentum ‘have a divergent sum, which rules out unbounded momentum support in finite time’. Absolute force bounds lose a factor √w; this loss is removed by integrating the retarded force by parts along source trajectories in a narrow angular sector
- Lean: comparator challenge VlasovMaxwell.lean (OAI.RVM.global_classical_solution) writes out the Vlasov, Maxwell and Gauss equations and the class of admissible data, and asserts uniqueness among C¹ solutions with compact phase support. Scope note: ‘No smallness, symmetry, or neutrality assumption is imposed.’ Accepted in the oai-math-revised comparator run of 25–26 Oct (‘Lean default kernel accepts the solution’); MathVet verdict ‘full’, with a sandboxed pass. Ying Xie counts 207 Lean files
- OpenAI’s reasoning summary (one of ten published) ends: ‘The assistant ended by asserting global smooth continuation. That assertion rests on the occupation bound, direction-count estimate, and cutoff cancellations needed to close the signed momentum bootstrap; the cited continuation theorem alone does not establish those estimates.’
- Caveats from Ying Xie’s survey (arXiv 2610.17090, 12 Oct): Cheverry–Ibrahim’s work is ‘cited six times in the summary and omitted from the paper’; ‘The exponent comparison has a small margin’ (an exponent contradiction, 0.496z against 0.41z); ‘Uniqueness is asserted only among global classical solutions’
- Trackers: AIM problem 073 is marked SOLVED (13 Oct). Its maintainer, Matthew Colbrook, wrote on PR #35 that the comparator file ‘is a statement, not a checked proof … we keep Solved from the published manuscript and do not claim Lean-verified status. This is not a finding that the manuscript is only partial.’ On 29 Oct Wikipedia’s list of unsolved problems still included ‘Regularity of solutions of Vlasov–Maxwell equations’
- Reactions: none from kinetic theorists found as of 29 Oct. We searched the web, arXiv, Hacker News and Proofs and Prompts; the oai-math-revised notes report ‘Follow-up works: None found’. The same notes cite a Reddit commenter who says they work in the area and found that nonstandard notation made the central idea hard to identify; we could not open the comment
What happened
The relativistic Vlasov–Maxwell system couples a density of charged particles in phase space with the electromagnetic field the particles generate. Local smooth solutions and global weak solutions have long been known. In 1986 Glassey and Strauss proved that a smooth solution can only break down if particle momenta become unbounded. Whether that can happen for large data in three dimensions has been the central open question since. It was answered only for small or dilute data, for lower-dimensional reductions and, in work by Xuecheng Wang completed in July 2026, for cylindrically symmetric data.
OpenAI’s release contains a 49-page manuscript dated 23 Sept that claims the answer for all smooth compactly supported particle data and smooth finite-energy fields. It bounds the signed change of a particle’s momentum over a time interval, taking the norm only after integrating the force, and shows that doubling the top momentum takes a time whose sum over successive doublings diverges. The worst singularity is removed by an integration by parts along the trajectories of source particles. The Lean statement writes out the full system, the data class and uniqueness, and it passed the comparator in two independent runs. OpenAI also published a summary of the model’s reasoning. It describes repeated audits and repairs and ends by saying that the assertion rests on the paper’s new estimates, not on the cited continuation theorem.
Why it matters
Global regularity for this system has been one of the main open problems in kinetic theory for four decades. A machine-checked statement of the full theorem makes the claim unusually concrete. Still, a survey has pointed to a small margin in one exponent comparison and to uncited antecedents, and no specialist has published a reading. The AIM tracker counts the problem as solved because of the manuscript, while Wikipedia still lists it as open.
What is disputed or not yet verified
| Verification | Lean formalization of the full statement (comparator accepted in two independent runs); no published expert verification yet |
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Sources
12 sources from 4 sites. Numbers match the chips in the text.
12 sources: 7 primary, 5 reactions
Primary
- OpenAI: Global classical solutions of the three-dimensional relativistic Vlasov–Maxwell system (23 Sept 2026, PDF)github.com, paper
- OpenAI: summarized chain of thought for the Vlasov–Maxwell paper (PDF)github.com, paper
- Lean scope note for family 362github.com, code
- Lean comparator challenge: VlasovMaxwell.leangithub.com, code
- oai-math-revised: comparator run on all challenges (LEAN_CHECKS.md)github.com, code
- arXiv 2610.17090: Ying Xie, What the Machine Invented (survey of 38 families, §8.2.3)arxiv.org, paper
- Luk and Strain: A new continuation criterion for the relativistic Vlasov–Maxwell system (background, 2014)arxiv.org, paper
Reactions
- oai-math-revised: community notes on the Vlasov–Maxwell manuscriptgithub.com, discussion
- MathVet: fidelity table for openai/math (pre-referee)math.vet, discussion
- AIM problem 073: Large-data global classical solutions of relativistic Vlasov–Maxwellgithub.com, discussion
- AIM pull request #35 and the maintainer’s reply (13 Oct)github.com, discussion
- Wikipedia: List of unsolved problems in mathematics (analysis section)en.wikipedia.org, discussion
Changes
- Filed (manuscript abstract, introduction and proof strategy, reasoning summary, VlasovMaxwell comparator statement and log, MathVet data, Xie’s survey §8.2.3, AIM page and PR #35, Wikipedia’s unsolved-problems list; searches of the web, arXiv, Hacker News and Proofs and Prompts found no expert reaction)