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Conditional permutations in a revealed switching environment
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Abstract
Fix half the labels in a Thorp shuffle on $2^d$ positions and reveal their complete trajectories. We prove that, after an explicit absolute number of coordinate sweeps, the conditional permutation of the remaining labels approaches uniform in expected total variation as $d\to\infty$, uniformly in the initial layout. The resulting constructions give full-deck mixing in a constant multiple of d physical shuffles.
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Notes
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work in progress
Collected automatically by AI tools (Claude Opus 5.5 and GPT-6 Astra, 2026-10-21) and not checked by a person. May be wrong or incomplete. Report an error.
Formalization
- OpenAI math release, Lean scope notes for family 238 (lean/docs/238.md, 2026). States that the formalization gives averaged conditional mixing for half-permutations in the revealed-path model and full-deck mixing after $16040400d$ steps; the conditional estimate is averaged over the outside-path law, not stated per environment. [family-level]
Possibly relevant literature (found by the agent, not checked)
- Y. Jiang, A subquadratic upper bound for the mixing time of the Thorp shuffle (arXiv:2610.18884, 3 Oct 2026). Independent preprint proving a full-deck bound of order d^{5/3} for n=2^d; relevant for comparison with this paper's O(d) full-deck claim. It does not mention the release. [family-level]
Digests and expositions
- Latent Seminar, Optimal logarithmic mixing of the Thorp shuffle (expository notes, 2026-10-06). Outlines all twelve manuscripts’ proof methods and formalization boundaries, explicitly disclaiming independent full-proof verification. [family-level]
- heyprof, Thorp shuffle: how often until the deck is random? (interactive exposition, undated). Illustrates the family’s full-deck mixing question with small-deck distributions, single-card marginals, and the support bound. [family-level]
Elsewhere
- Emergent Mind: family 238
Independent sites; their content is not reviewed here.
Cite
@misc{OAI:Conditional-permutations-in-a-revealed-switching-environment-September-26-2026,
author = {{OpenAI}},
title = {{Conditional permutations in a revealed switching environment}},
howpublished = {OpenAI Math Release preprint
\href{https://github.com/openai/math/blob/main/preprints/Conditional-permutations-in-a-revealed-switching-environment-September-26-2026/paper.pdf}{OAI:Conditional-permutations-in-a-revealed-switching-environment-September-26-2026}},
year = {2026}
}Lean formalization
OpenAI provides Lean files for this family: lean/docs/238.md. The Lean statements have not been checked by people against the paper's claims.
Family 238: Optimal logarithmic mixing of the Thorp shuffle
Proves that the Thorp shuffle randomizes $N=2^d$ labeled cards in $\Theta(\log N)$ physical shuffles, settling its optimal mixing order for power-of-two deck sizes. Convergence is in total variation from the worst initial ordering and concerns the entire permutation, not just individual card positions.
Other papers in this family:
- Optimal-order mixing of the Thorp shuffle · September 26, 2026
- Random coordinate frames and partial permutation laws · September 26, 2026
- From partial permutation information to Fourier bounds · September 26, 2026
- Conditional information under deterministic coordinate sweeps · September 26, 2026
- Routing densities and representation contraction for Thorp sweeps · September 26, 2026
- Row–column symmetry and contraction of coordinate sweeps · September 26, 2026
- Random-subspace tests and trace smoothing for coordinate sweeps · September 26, 2026
- Compatibility entropy and the spectrum of a Thorp sweep · September 26, 2026
- Signed tensor densities and diagram budgets for the Thorp shuffle · September 26, 2026
- Conditional coordinate sweeps and analytic transfer · September 26, 2026
- A strict four-row permanent inequality and permutation moments · September 26, 2026