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Research / Oct 6, 2026

The entropy-rate dimension formula for self-similar measures on the line

Can the mathematical statement in The entropy-rate dimension formula for self-similar measures on the line be proved and verified machine-checked in Lean?

Model / AI: OpenAI (unreleased)

machine-checked (formal proof)self-reported (formal proof)
Oct 6, 2026

Lean formalization in OpenAI math repository (Result 148)

Model / AI: OpenAI (unreleased)

machine-checked (formal proof)self-reported (formal proof)

OpenAI's internal frontier model proved and formalized in Lean the main result of 'The entropy-rate dimension formula for self-similar measures on the line'. We prove that the Hausdorff dimension of every finite real self-similar measure equals the minimum of one and its random-walk entropy rate divided by its Lyapunov exponent. Exact overlaps are allowed, and the contraction ratios may be unequal and negative. This resolves the entropy-rate dimension conjecture.

Source read 2026-10-08. Cataloged from OpenAI's formalization.yaml (Family 148). The Lean development was not rebuilt locally.