An Upper Bound of 9/4 for the Matrix Multiplication Exponent

OpenAI

For every ε>0, the OpenAI construction multiplies n×n complex matrices with Oε(n^{9/4+ε}) division-free arithmetic operations; consequently ω(C)≤9/4.

Sources for this record

What was already known

Human bounds were near 2.371, and an earlier OpenAI companion reported ω(C)<2.258. Later work by Navot and others extends the 9/4 bound to other fields and rings.

AI involvement AI-led

OpenAI credits its internal model with the complex-field construction. Houxi Lü later supplied a separately credited human explanation and improved separation; Navot and others developed distinct extensions.

The internally produced OpenAI-authored paper supplies the 9/4 construction and proof.

Importance Major

The complex arithmetic bound improves a central asymptotic benchmark for square matrix multiplication.

Limitations

This is an asymptotic arithmetic-operation bound, not a bit-complexity or practical finite-size speed claim. Lü later explained and replaced the shared-leg separation step; his extension does not document a check of every step of the original Fourier argument.

Technical verification Formal (Lean 4)

The OpenAI Lean library states the complex division-free arithmetic cost bound for every positive ε and ω(C)≤9/4. Its family 107 scope and comparator document the machine-checked theorem.

Formal checking

Lean proof of the complex arithmetic cost bound and exponent inequality

Checker
OpenAI Lean 4 library and comparator
Scope
Complex division-free arithmetic matrix multiplication has cost O_epsilon(n^{9/4+epsilon}) and omega(C)<=9/4
Basis
Reported by the linked checker
Evidence source

Checking a formal statement does not establish that it matches the original problem.

Human understanding Full

Lü's dated human paper identifies OpenAI's shared-leg separation as the key step, gives an explicit replacement, and works through how the spectral and discrete-growth stages yield the exponent; this explains the central mechanism even though it does not verify each original Fourier step.

Correction and publication history

2026-10-18 · publication

The complex arithmetic bound improves a central asymptotic benchmark for square matrix multiplication.

Read this published revision