Almost-Primes P2 in the Gnomons of Regular Polygons: Explicit Bounding via a Transposed Matrix Structure

For an integer $k \ge 3$, let $\Pk(n)$ denote the $n$-th $k$-gonal number. We organize the consecutive gnomon intervals $\bigl(\Pk(n), \Pk(n+1)\bigr]$ of all regular polygons into a doubly indexed spatial matrix to analyze the distribution of almost-primes ($P_2$). While the vertical traversal of this matrix yields intervals of length $O(X^{1/2})$---traditionally rendering explicit sieve thresholds ineffective---we demonstrate that the required analytical threshold for existence strictly monotonically decreases as one descends the columns. By executing a strictly optimized explicit weighted linear sieve along the first row (width $O(X^{2/3})$) and replacing asymptotic error approximations with an exact finite Buchstab descent, we first establish a direct unconditional bound of $n \ge 0.98 \times 10^{130}$ for the classical Legendre interval. To circumvent this astronomical requirement, we evaluate the sieve on our spatial matrix to establish a rigorously optimized absolute bound of $j \approx 10^{65}$. Through topological inheritance, this explicitly secures a $P_2$ element in continuous discrete intervals of size $O(X^{1/2})$ for specific polynomials, drastically compressing the theoretical integer spectrum and bypassing the degenerate analytical bounds.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-24
DOI
https://doi.org/10.5281/zenodo.21525690
Primary Topic
Advanced Combinatorial Mathematics
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Almost-Primes P2 in the Gnomons of Regular Polygons: Explicit Bounding via a Transposed Matrix Structure

Huynh Hai Dang Vo
Zenodo (CERN European Organization for Nuclear Research)
Advanced Combinatorial Mathematics
preprint

Almost-Primes P2 in the Gnomons of Regular Polygons: Explicit Bounding via a Transposed Matrix Structure

Huynh Hai Dang Vo
preprint en

Abstract

For an integer $k \ge 3$, let $\Pk(n)$ denote the $n$-th $k$-gonal number. We organize the consecutive gnomon intervals $\bigl(\Pk(n), \Pk(n+1)\bigr]$ of all regular polygons into a doubly indexed spatial matrix to analyze the distribution of almost-primes ($P_2$). While the vertical traversal of this matrix yields intervals of length $O(X^{1/2})$---traditionally rendering explicit sieve thresholds ineffective---we demonstrate that the required analytical threshold for existence strictly monotonically decreases as one descends the columns. By executing a strictly optimized explicit weighted linear sieve along the first row (width $O(X^{2/3})$) and replacing asymptotic error approximations with an exact finite Buchstab descent, we first establish a direct unconditional bound of $n \ge 0.98 \times 10^{130}$ for the classical Legendre interval. To circumvent this astronomical requirement, we evaluate the sieve on our spatial matrix to establish a rigorously optimized absolute bound of $j \approx 10^{65}$. Through topological inheritance, this explicitly secures a $P_2$ element in continuous discrete intervals of size $O(X^{1/2})$ for specific polynomials, drastically compressing the theoretical integer spectrum and bypassing the degenerate analytical bounds.

Zenodo (CERN European Organization for Nuclear Research)
Advanced Combinatorial Mathematics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Almost-Primes P2 in the Gnomons of Regular Polygons: Explicit Bounding via a Transposed Matrix Structure — Huynh Hai Dang Vo · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS