Uniform Markov-constant bound for square-torus disk packings

Let N6N\geq 6, let δ\delta be the density of a packing of NN equal disks in a square torus, and define its Markov constant by

M=π21(π12δ)N.M=\frac{\pi}{2}\frac{1}{\left(\frac{\pi}{\sqrt{12}}-\delta\right)N}.

Square-torus Markov-bound conjecture. Every such packing satisfies M6.25M\leq 6.25. Equivalently,

π23δ>π2(16.25N).\frac{\pi}{2\sqrt{3}}-\delta>\frac{\pi}{2}\left(\frac{1}{6.25N}\right).

The conjecture would give a uniform upper bound on the Markov constant and hence a uniform lower bound on the density gap.

Sources & referencesView supporting material

Primary source

Robert Connelly, Matthew Funkhouser, Vivian Kuperberg and Evan Solomonides, “Packings of equal disks in a square torus”, arXiv:1512.08762 (2016).

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