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The Optimal Scaling Parameter in Metric Cotype for Alexandrov Spaces of Nonnegative Curvature

Abstract

We determine the optimal order of the scaling parameter in the metric cotype $2$ inequality for complete Alexandrov spaces of nonnegative curvature. It grows linearly with the dimension n of the discrete torus. This answers Question 17 of Eskenazis, Mendel, and Naor. In their sign-vector normalization on (ℤ/(2mℤ))n, the square of the optimal metric cotype $2$ constant for this class lies between max{1,n/m} and e⌈ n/m⌉ for every dyadic m≥ 2. The upper bound follows from a dyadic Bernoulli-thinning argument using only the Lang--Schroeder--Sturm inequality. Snowflake universality of the fixed Wasserstein space 𝒫2(ℝ3) gives the n/m lower bound.

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BibTeX
@misc{cheng2026optimal,
  title = {{The Optimal Scaling Parameter in Metric Cotype for Alexandrov Spaces of Nonnegative Curvature}},
  author = {Qingjin Cheng and Longfa Sun and Yipeng Zhang},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.08754},
  eprint = {2609.08754},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.08754},
}
RIS
TY  - UNPB
TI  - The Optimal Scaling Parameter in Metric Cotype for Alexandrov Spaces of Nonnegative Curvature
AU  - Qingjin Cheng
AU  - Longfa Sun
AU  - Yipeng Zhang
PY  - 2026
DA  - 2026/09/09
PB  - arXiv
DO  - 10.48550/arxiv.2609.08754
UR  - https://arxiv.org/abs/2609.08754
AB  - We determine the optimal order of the scaling parameter in the metric cotype $2$ inequality for complete Alexandrov spaces of nonnegative curvature. It grows linearly with the dimension n of the discrete torus. This answers Question 17 of Eskenazis, Mendel, and Naor. In their sign-vector normalization on (ℤ/(2mℤ))^n, the square of the optimal metric cotype $2$ constant for this class lies between max{1,n/m} and e⌈ n/m⌉ for every dyadic m≥ 2. The upper bound follows from a dyadic Bernoulli-thinning argument using only the Lang--Schroeder--Sturm inequality. Snowflake universality of the fixed Wasserstein space 𝒫_2(ℝ^3) gives the n/m lower bound.
ER  -