Heuristic Bounded Prime Gaps via a Chaotic Multidimensional Sieve and Random Matrix Theory

Fuente: arXiv
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Autore principale: Ghadimi, Milad
Natura: Preprint
Pubblicazione: 2025
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author Ghadimi, Milad
author_facet Ghadimi, Milad
contents We present the Enhanced Multidimensional Chaotic Heuristic Sieve (EMCHS), a novel probabilistic framework that integrates chaotic perturbations and random matrix theory (RMT) to suggest improved bounds on prime gaps. Building upon the foundational sieves of Goldston-Pintz-Yildirim and Maynard, EMCHS heuristically suggests unconditional gaps of at most 180 and conditional gaps of at most 8 under a partial Elliott-Halberstam conjecture (EHC) with delta = 0.3. These heuristic suggestions surpass Maynard's unconditional bound of 246 through refined polytope optimizations and probabilistic enhancements. We provide rigorous proofs for certain analytic components (such as bounding chaotic perturbations via ergodic theory) and explicitly distinguish which arguments and conclusions are heuristic or conjectural. Numerical evidence for primes up to 10^18 supports the framework, and we discuss limitations and avenues for future rigorous work.
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id arxiv_https___arxiv_org_abs_2507_17986
institution arXiv
publishDate 2025
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spellingShingle Heuristic Bounded Prime Gaps via a Chaotic Multidimensional Sieve and Random Matrix Theory
Ghadimi, Milad
Number Theory
We present the Enhanced Multidimensional Chaotic Heuristic Sieve (EMCHS), a novel probabilistic framework that integrates chaotic perturbations and random matrix theory (RMT) to suggest improved bounds on prime gaps. Building upon the foundational sieves of Goldston-Pintz-Yildirim and Maynard, EMCHS heuristically suggests unconditional gaps of at most 180 and conditional gaps of at most 8 under a partial Elliott-Halberstam conjecture (EHC) with delta = 0.3. These heuristic suggestions surpass Maynard's unconditional bound of 246 through refined polytope optimizations and probabilistic enhancements. We provide rigorous proofs for certain analytic components (such as bounding chaotic perturbations via ergodic theory) and explicitly distinguish which arguments and conclusions are heuristic or conjectural. Numerical evidence for primes up to 10^18 supports the framework, and we discuss limitations and avenues for future rigorous work.
title Heuristic Bounded Prime Gaps via a Chaotic Multidimensional Sieve and Random Matrix Theory
topic Number Theory
url https://arxiv.org/abs/2507.17986