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A sharp zero-sector criterion for log-concave polynomial prefix sums

Scott Schubr

Luminary Oddities

  • Mathematics
  • Classical and Real Analysis
  • Algebra
Primary subject
Mathematics
Paper type
Research Article
Manuscript stage
Preprint
Manuscript
Archived
Edition
2 · Permanent link

Overview

Abstract

Let h be a real polynomial with h(0)>0 whose zeros lie in the closed sector |arg(-z)|≤π/4. For every real step a≥0 and geometric bias ρ≥1, we prove that H_k(y)=∑_{i=0}^kρ^i h(y+ai) admits a finite concave logarithmic extension from k∈ℕ, y≥0 to the nonnegative quadrant. This implies weighted logarithmic Jensen inequalities for arbitrary probability laws with finite first moments and integral mean prefix length. The sector angle and the universal range ρ≥1 are sharp, including counterexamples with integral heights. The main analytic ingredient is joint log-concavity of a two-variable truncated-square lattice sum. Four complete geometry cases and exact rational polynomial certificates establish that ingredient; classical Prékopa marginalization then removes the degree bound and yields a sharp real smoothing threshold. The resulting application covers split projective-line bundles over projective space in every dimension. The conclusion concerns a concave extension of integer-prefix rows, rather than an ordinary polynomial continuation in the prefix variable.

Keywords Classical and Real Analysis · Algebra

Scope of the work

A sharp universal zero-sector criterion giving exact concave logarithmic extensions of polynomial prefix rows and integral-mean Jensen inequalities, with a sharp real smoothing range.

Reproduction notes

12-page manuscript and 6 package members. Compile main.tex with compatible LaTeX or Tectonic. Run python -B verify_prefix.py and python -O -B verify_prefix.py using the Python 3 standard library. Both reconstruct the complete chamber, determinant, moment, sector and sharpness identities and print identical JSON without external inputs.

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Author disclosures

AI-assisted tools supported research exploration, literature review, manuscript preparation and internal verification. The author retains responsibility for the work. Internal AI-assisted and computational checks are distinct from external human peer review.

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Cite this edition

Scott Schubr. (2026). A sharp zero-sector criterion for log-concave polynomial prefix sums (Version 2). Luminary Research Archive. https://research.luminaryoddities.com/a-sharp-zero-sector-criterion-for-polynomial-prefix-sums/v/2

BibTeX
@techreport{luminary_a_sharp_zero_sector_criterion_for_polynomial_prefix_sums_v2,
  title = {A sharp zero-sector criterion for log-concave polynomial prefix sums},
  author = {Scott Schubr},
  year = {2026},
  institution = {Luminary Research Archive},
  type = {Research Article},
  note = {Version 2},
  url = {https://research.luminaryoddities.com/a-sharp-zero-sector-criterion-for-polynomial-prefix-sums/v/2}
}

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