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An Upper Bound of 9/4 for the Matrix Multiplication Exponent
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Abstract
We prove that the exponent of matrix multiplication over the complex numbers is at most 9/4.
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Notes
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work in progress
Collected automatically by AI tools (Claude Opus 5.5 and GPT-6 Astra, 2026-10-23) and not checked by a person. May be wrong or incomplete. Report an error.
Follow-up works
- Rafael Pass, Matrix Multiplication from Polynomial Packings: A Constructive and Elementary Proof of ω ≤ 9/4 (arXiv:2610.28627, 2026-10-20). Gives an explicit Strassen-style identity and block recursion for the same bound, multiplying n×n integer matrices with O(n^{9/4+γ}) integer operations; the abstract describes OpenAI's argument as "non-constructive arguments in Strassen's asymptotic spectral framework".
- Przemysław Uznański, Rectangular matrix multiplication from polynomial products (arXiv:2610.10494, v1 2026-10-07, v2 2026-10-11). Extends this paper's $9/4$ polynomial-product analysis in characteristic zero to $\alpha\ge1/2$ and $\omega(1,k,1)\le1+k+1/(4k)$ for $k\ge1/2$, with an application to all-pairs shortest paths. [AI-generated per source]
- Houxi Lü, Polynomial Separation of a Shared Tensor Leg and Matrix Multiplication in Arbitrary Characteristic (arXiv:2610.18914v1, 2026-10-12). Replaces Proposition 3.1’s Fourier separator by polynomial interpolation, reducing $5M$ copies to $2M-1$ and obtaining $\omega\le9/4$ over algebraically closed fields of every characteristic; the acknowledgements disclose AI assistance with a proof gap, checking and formatting.
- acprk, openai-math-followups: ω ≤ 9/4 profile barrier (GitHub note, October 2026). Constructs an extremal profile satisfying the paper's properties of P(a,b) with 1/t = 4/3, claiming the argument as formulated cannot give ω < 9/4; it credits the core statement to eliottcassidy2000/math (THM-4568). [AI-generated per source]
- jackal092927, matrix-mult-exponent (GitHub project, 2026). An AI-assisted open research effort whose first target is ω(ℂ) < 9/4 starting from this paper's construction; its README states that no smaller ω has been established. [AI-generated per source]
Comments and discussion
- Alex Meiburg, Comment #179 on “The Mathocalypse” (Shtetl-Optimized, 2026-10-09). Emphasizes the distinction between the paper’s $O_\varepsilon(n^{9/4+\varepsilon})$ guarantee and an exact $O(n^{9/4})$ bound, and discusses the dependence of constants on $\varepsilon$.
- Abbas Mehrabian (@abbas_mehrabian), post on X (2026-10-08). Calls the ω ⩽ 2.25 algorithm "groundbreaking", notes that his team held the best bound before it, and links his explanation of the history of ω.
- Yuval Filmus (@YFilmus), post on X (2026-10-17). Describes the proof as "outlandish, using Strassen's theory of asymptotic spectra" and notes that Sergey Gusev's constructive proof of the same bound avoids spectra but is "also quite opaque".
- Antoine Tilloy (@AntoineTilloy), post on X (2026-10-17). Describes an AI-assisted search for explicit, non-galactic algorithms with exponents between naive cubic and the 2.25 bound, which he calls "totally impractical".
Formalization
- OpenAI, Matrix multiplication with exponent at most 9/4 — Lean scope notes (OpenAI math release, lean/docs/107.md, 2026-10-06). The release’s scope note records $\omega(\mathbb C)\le9/4$ for finite division-free arithmetic programs with arbitrary positive exponent slack, alongside α > 0.465 and ω(ℂ;1,0.709,1) < 2.092, although it lists only the two September companions as accompanying papers. [family-level]
- Jeroen Zuiddam, ω(F) ≤ 9/4 over every field, in Lean (Lean 4 repository, verification reported 2026-10-07). Rebuilds the release's Lean proof and extends ω ≤ 9/4 to every field, generalising the period in Proposition 3.1 for positive characteristic and modifying 41 of 143 modules, with kernel and Comparator verification; the README discloses Claude assistance.
- Sela Navot, Matrix multiplication exponent at most 9/4 over arbitrary fields (Palomar PALOMAR-2026-10-08-000005, Zenodo 10.5281/zenodo.23219128, 2026-10-07). Fork of the release's Lean proof extending ω ≤ 9/4 to all fields via the algebraic closure and a descent argument, with exact coefficient identities and documented kernel replay; developed by GPT-6 Astra and GPT-6.1 Sol under Navot’s direction. [AI-generated per source]
- Sela Navot, Matrix multiplication: ω ≤ 9/4 over every ring (Palomar PALOMAR-2026-10-11-000007, Zenodo 10.5281/zenodo.23268534, 2026-10-11). Lean development showing the integer-coefficient tensor-rank exponent is at most 9/4, giving division-free programs over every associative unital ring, including noncommutative rings; it states it is "AI-generated with Codex under human direction". [AI-generated per source]
Related prior literature mentioned by others
- Avi Wigderson and Jeroen Zuiddam, Asymptotic spectra: Theory, applications and extensions (author version, 2025-08-05). Uznański’s follow-up cites this survey for Strassen’s spectral theorem, providing background for the detecting-character step in the $9/4$ argument.
Digests and expositions
- Readable Intelligence, An Upper Bound of 9/4 for the Matrix Multiplication Exponent (readable version) (readable-intelligence.com, 2026). Rewritten version of this paper intended to be easier to read. [AI-generated per source]
- fringewidth, Where 9/4 Comes From (interactive guide, October 2026; source github.com/fringewidth/understand-matmul). High-school-level interactive explainer of the paper's argument, including the polynomial-multiplication profile and the final comparison of growth rates.
- Azmat (BinaryVerse AI), OpenAI Matrix Multiplication: The Proof Behind The 2.25 Leap (blog, 2026-10-07). Summary of the paper's method: tensor characters, the separation construction, and the two polynomial-multiplication inequalities.
News and blogs
- Scott Aaronson, The Mathocalypse (Shtetl-Optimized, 2026-10-07). Highlights the $9/4$ result and describes its approach as different from those behind the earlier bounds near $2.373$.
- OfficeChai Team, OpenAI Has Found A Far Faster Way To Multiply Matrices (OfficeChai, 2026-10-07). News article on the 2.258 companion paper and this 9/4 paper, describing the 9/4 route through polynomial multiplication rather than the laser method. [family-level]
- Switzerland Omics, Faster matrix multiplication (blog, 2026-10-07). Describes an exact small-matrix algorithm search motivated by the $9/4$ manuscript, reporting recovery of a rank-seven $2\times2$ algorithm.
- Peter Hall and Joseph Howlett, The most exciting claims from OpenAI's heap of new proofs (Scientific American, 2026-10-08). Reports the 9/4 claim for problem 107 as unverified and quotes Virginia Vassilevska Williams on why matrix multiplication matters. [family-level]
- Zvi Mowshowitz, New Math from OpenAI (Substack, 2026-10-09). Discusses the release, describing this paper as bounding Strassen's spectral characters directly, and quotes Steven Strogatz comparing the jump to "Bob Beamon's long jump".
- Sergey Gusev (@13SergeyGusev), post on X (2026-10-20). Notes that OpenAI showed algorithms with exponent near 2.25 exist "but not what they actually are" and describes an AI-written paper building them explicitly, whose first version was very inefficient.
- Yuval Filmus (@YFilmus), post on X (2026-10-22). Links a note under the line "The experts weigh in on the 9/4 bound" and says further expositions by others are on the way.
Elsewhere
- Palomar: Matrix multiplication exponent at most 9/4 over arbitrary fields (Lean formalization (adapts))
- Palomar: Matrix multiplication: omega at most 9/4 over every ring (Lean formalization (adapts))
- Readable Intelligence: Readable version (AI rewrite)
- VibeMathed: Problem record
- whataifound: Registry entry
- Emergent Mind: family 107
Independent sites; their content is not reviewed here.
Cite
@misc{OAI:Matrix-Multiplication-Nine-Fourths-October-2-2026,
author = {{OpenAI}},
title = {{An Upper Bound of $9/4$ for the Matrix Multiplication Exponent}},
howpublished = {OpenAI Math Release preprint
\href{https://github.com/openai/math/blob/main/preprints/Matrix-Multiplication-Nine-Fourths-October-2-2026/paper.pdf}{OAI:Matrix-Multiplication-Nine-Fourths-October-2-2026}},
year = {2026}
}Lean formalization
OpenAI provides Lean files for this family: lean/docs/107.md. The Lean statements have not been checked by people against the paper's claims.
Family 107: Matrix multiplication with exponent at most 9/4
Proves $\omega\le9/4$ over ℂ, giving $O_\varepsilon(n^{9/4+\varepsilon})$ arithmetic operations for square matrix multiplication. In characteristic zero, some inner dimension na with a > 0.465 permits $n^{2+o(1)}$ rectangular multiplication. Further square bounds give ω < 2.258 outside finitely many positive characteristics and ω < 2.371054886006746 over every fixed field.
Other papers in this family:
- Complex Matrix Multiplication Below 2.258 and Rectangular Bounds · September 24, 2026
- Staggered extraction for exact matrix multiplication over every field · September 24, 2026