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PreprintCC BY-NC-ND 4.0arXiv

Sharp p/log p Bounds for Metric Xp Inequalities and Arbitrary Rademacher Chaos

Abstract

Naor proved that Lp satisfies the metric Xp inequality with the sharp scaling parameter and asked for the optimal dependence of its constant on p. The best previously known upper bound was O(p4/log p), while first-degree chaos gives a lower bound of order p/log p. We prove the matching upper bound. More generally, if h is a mean-zero scalar function on the Hamming cube, p≥2, and S is uniformly distributed over the k-subsets of [n], then (ES|E[n]∖ Sh|pp)1/p ≲ p/(log p) [k/n∑j=1n|∂jh|pp+ (k/n)p/2|h|pp]1/p. The proof combines a sharp fixed-cardinality Rosenthal comparison with the exact reconstruction h=∑jDjΔ−1h. A dimension-free inverse-gradient square-function estimate follows by integrating a pointwise reverse Poincaré inequality for the Walsh heat semigroup. Naor's transference argument then yields the optimal metric bound O(p/log p).

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BibTeX
@misc{zhang2026sharp,
  title = {{Sharp $p/\log p$ Bounds for Metric $X_p$ Inequalities and Arbitrary Rademacher Chaos}},
  author = {Yutong Zhang and Yaoran Yang},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.26287},
  eprint = {2609.26287},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.26287},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - UNPB
TI  - Sharp p/log p Bounds for Metric X_p Inequalities and Arbitrary Rademacher Chaos
AU  - Yutong Zhang
AU  - Yaoran Yang
PY  - 2026
DA  - 2026/09/01
PB  - arXiv
DO  - 10.48550/arxiv.2609.26287
UR  - https://arxiv.org/abs/2609.26287
AB  - Naor proved that L_p satisfies the metric X_p inequality with the sharp scaling parameter and asked for the optimal dependence of its constant on p. The best previously known upper bound was O(p^4/log p), while first-degree chaos gives a lower bound of order p/log p. We prove the matching upper bound. More generally, if h is a mean-zero scalar function on the Hamming cube, p≥2, and S is uniformly distributed over the k-subsets of [n], then (E_S|E_[n]∖ Sh|_p^p)^1/p ≲ p/(log p) [k/n∑_j=1^n|∂_jh|_p^p+ (k/n)^p/2|h|_p^p]^1/p. The proof combines a sharp fixed-cardinality Rosenthal comparison with the exact reconstruction h=∑_jD_jΔ^−1h. A dimension-free inverse-gradient square-function estimate follows by integrating a pointwise reverse Poincaré inequality for the Walsh heat semigroup. Naor's transference argument then yields the optimal metric bound O(p/log p).
ER  -