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On the $\ell_0$ Isoperimetric Coefficient of Measurable Sets

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arxiv 2312.00015 v3 pith:UX5VXLPU submitted 2023-10-29 math.MG cs.CG

classification math.MGcs.CG
keywords coefficientisoperimetricaxis-alignedmathcalmeasurablecubesapplicationsbodies
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abstract

In this paper we prove that the $\ell_0$ isoperimetric coefficient for any axis-aligned cubes, $\psi_{\mathcal{C}}$, is $\Theta(n^{-1/2})$ and that the isoperimetric coefficient for any measurable body $K$, $\psi_K$, is of order $O(n^{-1/2})$. As a corollary we deduce that axis-aligned cubes essentially "maximize" the $\ell_0$ isoperimetric coefficient: There exists a positive constant $q > 0$ such that $\psi_K \leq q \cdot \psi_{\mathcal{C}}$, whenever $\mathcal{C}$ is an axis-aligned cube and $K$ is any measurable set. Lastly, we give immediate applications of our results to the mixing time of Coordinate-Hit-and-Run for sampling points uniformly from convex bodies.

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Cited by 2 Pith papers

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  1. Beyond the $d^{2.5}$-mixing bound for Dikin walks on polytopes

    cs.DS 2026-07 conditional novelty 7.0 of 10

    The Dikin walk with a scaled Lee-Sidford metric provably mixes on a polytope in O~(d^2.25) iterations from a warm start, improving the decade-old d^2.5 bound and taking a step toward the conjectured d^2.

  2. A mixing time bound for Gibbs sampling from log-smooth log-concave distributions

    math.ST 2024-12 conditional novelty 5.0 of 10

    Gibbs sampling from log-smooth strongly log-concave targets mixes in O*(kappa^2 n^7.5 (max{1, sqrt(n^{-1} log(2M/gamma))})^2) steps from an M-warm start.

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