An endpoint lower bound for Schatten–Hlawka constants

Unrefereed, AI-assisted mathematical candidate on endpoint asymptotics for Schatten–Hlawka constants. An inherited two-dimensional projector family gives a quantitative lower bound; optimization and logarithmic parameter correction are established only within that family. No matching unrestricted upper bound, external peer review or proof-assistant verification is claimed. Original prose and data are CC0-1.0; original executable code is MIT. Publisher and repository operator: Evidence Press.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-06
DOI
https://doi.org/10.5281/zenodo.23999267
Primary Topic
Mathematical Inequalities and Applications
Type
preprint
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preprint

An endpoint lower bound for Schatten–Hlawka constants

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

An endpoint lower bound for Schatten–Hlawka constants

preprint en

Abstract

Unrefereed, AI-assisted mathematical candidate on endpoint asymptotics for Schatten–Hlawka constants. An inherited two-dimensional projector family gives a quantitative lower bound; optimization and logarithmic parameter correction are established only within that family. No matching unrestricted upper bound, external peer review or proof-assistant verification is claimed. Original prose and data are CC0-1.0; original executable code is MIT. Publisher and repository operator: Evidence Press.

Zenodo (CERN European Organization for Nuclear Research)
Mathematical Inequalities and Applications
DOIOpen Access PDFOpenAlex
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An endpoint lower bound for Schatten–Hlawka constants · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS