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Edit Distance in l1: Matching Bounds up to Constants in the Exponent

OpenAI · September 27, 2026

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Abstract

We determine the exponential scale of the least ℓ1 distortion of unit-cost edit distance on all strings of length at most d. For every sufficiently large d, uniformly over finite alphabets of size at least two, the distortion lies between $\exp(c\sqrt{\log d\,\log\log d})$ and $\exp(C\sqrt{\log d\,\log\log d})$ for absolute constants $c,C\gt 0$. The lower bound already holds on binary strings of one common length. Thus the order of logarithmic distortion is sharp up to absolute constants.

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Cite

@misc{OAI:Edit-Distance-in-l1-Matching-Bounds-up-to-Constants-in-the-Exponent-September-27-2026,
  author = {{OpenAI}},
  title = {{Edit Distance in $\ell_1$: Matching Bounds up to Constants in the Exponent}},
  howpublished = {OpenAI Math Release preprint
                  \href{https://github.com/openai/math/blob/main/preprints/Edit-Distance-in-l1-Matching-Bounds-up-to-Constants-in-the-Exponent-September-27-2026/paper.pdf}{OAI:Edit-Distance-in-l1-Matching-Bounds-up-to-Constants-in-the-Exponent-September-27-2026}},
  year = {2026}
}

Lean formalization

OpenAI provides Lean files for this family: lean/docs/099.md. The Lean statements have not been checked by people against the paper's claims.

Family 099: The sharp exponential scale of edit-distance distortion

Determines the least distortion of embedding edit distance on words of length at most d into real ℓ1: it is $\exp(\Theta(\sqrt{\log d\,\log\log d}))$. Insertions, deletions and substitutions have unit cost. The constants are uniform over all finite alphabets with at least two symbols, even when the alphabet grows with d; binary words already force the lower bound.

Other papers in this family: