OpenAI reports pointwise multiple ergodic convergence for mixing transformations

For every invertible mixing probability-preserving transformation and every fixed finite tuple of bounded measurable functions, consecutive multiple ergodic averages converge almost everywhere, along all positive averaging lengths, to the product of the functions’ integrals.

Sources for this record

What was already known

Host and Kra proved L² convergence for arbitrary systems, and Bourgain proved pointwise double recurrence; higher-length pointwise results required additional structural assumptions in the manuscript’s account.

AI involvement AI-led

OpenAI credits itself as manuscript author and states that its internal frontier model produced the results in this release. Individual human input is not detailed enough to establish task-only autonomy.

OpenAI is named as author on the manuscript, and its release attributes the results to an internal frontier model. The individual human input is not detailed enough to establish autonomy.

Importance Major

Establishes almost-everywhere convergence for all finite lengths under ordinary mixing alone.

Limitations

The tuple of bounded functions is fixed, so no common exceptional set for all function tuples is asserted; no rate of mixing or convergence is claimed. No completed proof check was documented in the available sources.

Technical verification Reported

Reported is the default when evidence for a higher level is insufficient. The OpenAI-authored manuscript reports and argues the result, but the reviewed sources do not document a completed check of the full assessed claim.

Human understanding Few

Few is the default when evidence for a higher level is insufficient. No named person is documented as explaining the central argument for this assessed contribution.

Correction and publication history

2026-10-18 · publication

Primary manuscript, attribution, and prior-work review for non-notifying local inclusion; technical check remains undocumented.

Read this published revision