穿透吉尔布雷斯猜想:从深层数论洞察到金融科技与网络安全 / Piercing Gilbreath's Conjecture: From Deep Number Theory Insights to Fintech and Cybersecurity
1️⃣ 一句话总结
本文提出了一种基于筛选法的全新方法来解决长期未解的吉尔布雷斯素数猜想,不仅给出了严谨的证明路径和若干新发现,还将这一数论工具扩展应用于随机性检测、欺诈识别、网络安全和混沌时间序列分析等跨领域实际问题。
I propose a new methodology to attack the fascinating Gilbreath's conjecture about prime numbers, first posted in 1878 and unsolved to this day. The problem statement is rudimentary: kids can understand it. However, despite decades of research, almost no progress has been made. This paper changes the game by presenting a new approach based on sieving, a number of new results with proof, a precise path to the solution, and solid references. It also introduces the concept of reverse sieving, along with applications to testing randomness, pattern and fraud detection, cybersecurity, synthetic data, sequence categorization and normalization, or to detect and quantify a new type of chaos in time series including Brownian motions. Magic primes, forbidden prime number constellations, cellular automata, and reduction via classes of equivalent sequences, are some of the innovative and promising topics discussed in the paper.
穿透吉尔布雷斯猜想:从深层数论洞察到金融科技与网络安全 / Piercing Gilbreath's Conjecture: From Deep Number Theory Insights to Fintech and Cybersecurity
本文提出了一种基于筛选法的全新方法来解决长期未解的吉尔布雷斯素数猜想,不仅给出了严谨的证明路径和若干新发现,还将这一数论工具扩展应用于随机性检测、欺诈识别、网络安全和混沌时间序列分析等跨领域实际问题。
源自 arXiv: 2607.04166