A computer-assisted sharp diagonal Hlawka inequality for real exponents p ≥ 21

We give a computer-assisted proof that, for every real p ≥ 21, the dimension-independent sharp Hlawka constant of complex ℓ_p is the maximum of an explicit one-parameter ratio on the cyclic triple (-t,1,1), (1,-t,1), (1,1,-t), 1/2 ≤ t ≤ 2. The new finite calculation covers 21 ≤ p ≤ 32; the range p ≥ 32 uses a previously accepted Prove2Me theorem. The improvement uses norm caps, clipped pair-coordinate tails, and linear coordinate-sum constraints on a convex averaging domain, together with a sharper residual Hessian estimate. Rational linear-programming dual witnesses and interval certificates cover real exponent intervals, rather than sampled exponents. The finite obligations pass both Arb and a standard-library dyadic rational implementation. We give the analytic reduction, certificate specification, and reproduction instructions. An accompanying Lean formalization of the original uniform complex least-constant goal is verified on Prove2Me with no open dependencies, reusing the accepted p ≥ 32 tail. Independent analytic review remains pending, and no optimality of the exponent threshold 21 is asserted.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-18
DOI
https://doi.org/10.5281/zenodo.23444666
Primary Topic
Mathematical Inequalities and Applications
Type
preprint
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preprint

A computer-assisted sharp diagonal Hlawka inequality for real exponents p ≥ 21

Yuxuan Xu
Zenodo (CERN European Organization for Nuclear Research)
Mathematical Inequalities and Applications
preprint

A computer-assisted sharp diagonal Hlawka inequality for real exponents p ≥ 21

Yuxuan Xu
preprint en

Abstract

We give a computer-assisted proof that, for every real p ≥ 21, the dimension-independent sharp Hlawka constant of complex ℓ_p is the maximum of an explicit one-parameter ratio on the cyclic triple (-t,1,1), (1,-t,1), (1,1,-t), 1/2 ≤ t ≤ 2. The new finite calculation covers 21 ≤ p ≤ 32; the range p ≥ 32 uses a previously accepted Prove2Me theorem. The improvement uses norm caps, clipped pair-coordinate tails, and linear coordinate-sum constraints on a convex averaging domain, together with a sharper residual Hessian estimate. Rational linear-programming dual witnesses and interval certificates cover real exponent intervals, rather than sampled exponents. The finite obligations pass both Arb and a standard-library dyadic rational implementation. We give the analytic reduction, certificate specification, and reproduction instructions. An accompanying Lean formalization of the original uniform complex least-constant goal is verified on Prove2Me with no open dependencies, reusing the accepted p ≥ 32 tail. Independent analytic review remains pending, and no optimality of the exponent threshold 21 is asserted.

Zenodo (CERN European Organization for Nuclear Research)
Wuhan University (CN)
Mathematical Inequalities and Applications
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