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Linear Programming Upper Bounds for the Coil-in-the-Box Problem

Kevin M. Byrnes, Eric T. Harley, Florin Spinu

Source record

Source: arXiv

Published: Oct 27, 2026

arXiv: 2610.36461

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Source abstract

Let SnS_n denote the maximum length of a coil in the nn-dimensional hypercube QnQ_n, i.e., a simple cycle whose induced subgraph has no additional chords. We combine classical square-counting identities and structural properties of maximum coils with new valid combinatorial inequalities into a parameterized linear program whose optimal value provides an upper bound for SnS_n. For n≥13n\ge13, we construct two analytic dual feasible solutions. Their objective values yield upper bounds on SnS_n, and the smaller value is the exact optimum of the parameterized LP. One dual solution results in the bound Sn≤2n−18n(n−1)(5n−14)40n3−131n2+4n+136−(5n−14)⌊3n/4⌋, S_n\le 2^{n-1} \frac{8n(n-1)(5n-14)} {40n^3-131n^2+4n+136-(5n-14)\lfloor3n/4\rfloor}, which improves upon the upper bounds in Lukito, Lukito-van Zanten, and Zémor for 13≤n≤1985313\le n\le19853. The second yields the upper bound Sn≤2n−1(1−1303n+O(n−1)), S_n\le 2^{n-1}\left( 1-\frac1{30\sqrt{3n}}+O(n^{-1}) \right), improving upon the asymptotic upper bound of Zémor. Taken together, the two bounds improve upon the upper bounds for SnS_n in Lukito, Lukito-van Zanten, and Zémor for every n≥13n\ge13.

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Linear Programming Upper Bounds for the Coil-in-the-Box Problem — Mathematical Frontier Network