Sharp Power Inequalities for Shared Double-Cone Area and Volume Data

Positive area and volume data matching one common double-cone parameter satisfy an exact scale-invariant power identity. Minimization determines the best lower coefficients for every positive exponent pair and the unique exponent ray admitting both a positive lower and a finite upper bound. A different body realizing the same data illustrates the distinction between matching data and determining shape.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-02
DOI
https://doi.org/10.5281/zenodo.23887930
Primary Topic
Point processes and geometric inequalities
Type
preprint
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preprint

Sharp Power Inequalities for Shared Double-Cone Area and Volume Data

Ziping Guo
Zenodo (CERN European Organization for Nuclear Research)
Point processes and geometric inequalities
preprint

Sharp Power Inequalities for Shared Double-Cone Area and Volume Data

Ziping Guo
preprint en

Abstract

Positive area and volume data matching one common double-cone parameter satisfy an exact scale-invariant power identity. Minimization determines the best lower coefficients for every positive exponent pair and the unique exponent ray admitting both a positive lower and a finite upper bound. A different body realizing the same data illustrates the distinction between matching data and determining shape.

Zenodo (CERN European Organization for Nuclear Research)
Point processes and geometric inequalities
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Sharp Power Inequalities for Shared Double-Cone Area and Volume Data — Ziping Guo · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS