Quartic exponential matching in the unit square
Version 1 / Nov 11, 2026 / CC BY 4.0
Abstract
Take two independent samples of uniform points in the unit square. We prove that, with probability at least one half, the points can be paired so that the average of the exponential of the fourth power of the normalized pair distance is at most two. The distance normalization is , with an absolute constant. One pairing therefore satisfies both coordinate inequalities in the symmetric case of Talagrand's matching problem. The argument first controls a vector field transporting smoothed point densities, and then converts that control to a pairing. The main estimate comes from a Gaussian construction whose successive partitions depend only on noise already revealed; a correction using the classical bottleneck matching preserves the required density balance.
Provenance statement
Tools used
- OpenAI
- Codex
- Lean
- Lean
References
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- M. Talagrand, Upper and Lower Bounds for Stochastic Processes: Decomposition Theorems , second ed., Ergebnisse der Mathematik und ihrer Grenzgebiete, vol. 60, Springer, 2021. doi:10.1007/978-3-030-82595-9 (https://doi.org/10.1007/978-3-030-82595-9).DOI
- M. Talagrand, Matchings , problem note, available online (https://michel.talagrand.net/prizes/matchings.pdf).link
Version history
- v1 · 13 pagesSubmitted by Jensen KohlmeyerInitial depositCurrentNov 10, 2026