Asymptotics of the quantization problem on metric measure spaces
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Abstract (arXiv)
The problem of quantization of measures looks for best approximations of probability measures on a metric space by discrete measures supported on N points, where the error of approximation is measured with respect to the Wasserstein distance. Zador's theorem states that, for measures on ℝd or d-dimensional Riemannian manifolds satisfying appropriate integrability conditions, the quantization error decays to zero as N → ∞ at the rate N-1/d. In this paper, we provide a general treatment of the asymptotics of quantization on metric measure spaces (X, nu). We show that a weaker version of Zador's theorem involving the Hausdorff densities of nu holds also in this general setting. We also prove Zador's theorem in full for appropriate m-rectifiable measures on Euclidean space, answering a conjecture by Graf and Luschgy in the affirmative. For both results, the higher integrability conditions of Zador's theorem are replaced with a general notion of (p,s)-quantizability, which follows from Pierce-type (non-asymptotic) upper bounds on the quantization error, and we also prove multiple such bounds at the level of metric measure spaces.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 24 Mar 2025.
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