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Kac's Walk on Rotation Matrices Mixes in Θ(n2)\boldsymbol{Θ(n^2)} Steps: A Proof Discovered with AI

Tianle Liu

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Source: arXiv

Published: Aug 29, 2026

arXiv: 2608.29403

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Source abstract

Let N=(n2)=dimSO(n)N=\binom n2=\dim\mathrm{SO}(n). We prove that the coordinate-plane Kac walk on SO(n)\mathrm{SO}(n) has total-variation mixing time of order NN: for every fixed 0<ε<10<\varepsilon<1, tmix(n)(ε)=Θε(n2). t_{\mathrm{mix}}^{(n)}(\varepsilon)=Θ_\varepsilon(n^2). The lower bound is the dimensional singularity obstruction before NN steps. The upper bound removes the final logarithm from the previously known O(n2logn)O(n^2\log n) estimate. The proof combines the discrete Malliavin coupling and low-degree pseudo-mixing inputs with a new log-free analysis of the derivative shells. Its static core is a circuit-anchored, arbitrary-spectrum root/pass identity for the physical five-box prime. Keeping one normalization base per original circuit permits simultaneous scalar regluing without paying for artificial cuts. Its temporal core is an exact chronological calculus: passive singleton runs acquire a coboundary/Riesz gain, while root-interrupted components are allocated by vertex-labelled packets before absolute values are taken. The curvature split into pure-Weyl and Ricci parts is kept at its physical tensor type. All-Weyl packets retain a full N1N^{-1} resource; mixed packets contain a typed O(n1/2)O(n^{-1/2}) Ricci debit; and the final packetless Ricci cell is closed by a joint invariant-column estimate on its two root-hit circuits and an exact causal restoration of the marked root time. These estimates yield an O(n)O(n) squared first-derivative shell and a summable all-order marked-shell expansion through logarithmic degree. The resulting score energy is O(n/c2)O(n/c^2) after cNcN steps. A weighted submersion integration-by-parts argument and the Haar log-Sobolev inequality then give the uniform total-variation upper bound. No cutoff profile or cutoff window is asserted.

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Kac's Walk on Rotation Matrices Mixes in $\boldsymbol{Θ(n^2)}$ Steps: A Proof Discovered with AI — Mathematical Frontier Network