A Useless Recipe for Primes: A Partition-Based Algorithm for Prime Synthesis

A constructive framework for prime generation based on binary set partitions and exponent vectors. Moving beyond traditional sieving methods, this paper introduces a lateral approach to synthesize primes directly through algebraic operations. The algorithm provides new theoretical insights into the additive-multiplicative structure of integers, demonstrating that primes can be fundamentally apprehended as functions of the set of their predecessors.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-17
DOI
https://doi.org/10.5281/zenodo.20727496
Primary Topic
Analytic Number Theory Research
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

A Useless Recipe for Primes: A Partition-Based Algorithm for Prime Synthesis

Bruno Kongawi
Zenodo (CERN European Organization for Nuclear Research)
Analytic Number Theory Research
preprint

A Useless Recipe for Primes: A Partition-Based Algorithm for Prime Synthesis

Bruno Kongawi
preprint en

Abstract

A constructive framework for prime generation based on binary set partitions and exponent vectors. Moving beyond traditional sieving methods, this paper introduces a lateral approach to synthesize primes directly through algebraic operations. The algorithm provides new theoretical insights into the additive-multiplicative structure of integers, demonstrating that primes can be fundamentally apprehended as functions of the set of their predecessors.

Zenodo (CERN European Organization for Nuclear Research)
Analytic Number Theory Research
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.