arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2603.08994math.NT
收藏

梅森素数指数中的算术偏差与 $p-1$ 的除数结构

Arithmetic Bias in the Distribution of Mersenne Prime Exponents and the Divisor Structure of p-1

UNED(西班牙国立远程教育大学)

Jesus Dominguez

AI总结:

本文通过引入归一化除数参数 S(p) 分析已知梅森素数指数,发现其除数复杂度显著高于邻近素数,并基于分圆分解提出 Wagstaff 模型的启发式改进,揭示 p-1 的除数结构导致的弱算术偏差。

摘要:

根据经典的 Wagstaff 启发式,梅森数 \(M_p=2^p-1\) 为素数的概率主要取决于指数 \(p\) 的大小。我们研究 \(p-1\) 的除数结构是否在此渐近框架内产生可检测的次级变化。我们引入归一化除数参数 S(p)= rac{\logτ(p-1)}{\log\log p},它衡量 \(p-1\) 的除数复杂度,包括素数重数。利用当前已知的梅森素数指数(排除小情况),我们将 \(S(p)\) 与大小相近的邻近素数控制组进行比较。通过几种互补的无分布方法,包括百分位数分析、条件似然估计和置换检验,梅森素数指数一致地表现出较高的 \(S(p)\) 值。为了解释这一效应,我们基于分圆分解 \(2^{p-1}-1=\prod_{d\mid(p-1)}Φ_d(2)\) 发展了一个启发式框架,其中 \(p-1\) 的除数生成有效的模约束层。这激发了 Wagstaff 模型的一个启发式改进,形式为 \(P(M_p ext{ prime}) \approx C\, rac{(\log p)^{S(p)}}{p}\)。所提出的改进在典型情形 \(S(p)\approx 1\) 下保留了经典的 Wagstaff 尺度,同时表明梅森素数指数的有限尺度分布表现出与 \(p-1\) 的除数结构相关的弱算术偏差。

英文摘要:

The classical Wagstaff heuristic models the primality of $M_p=2^p-1$ primarily through the size of the prime exponent $p$, at the aggregate scale $C\log p/p$. We test whether the divisor structure of $p-1$ produces detectable secondary variation, using $S(p)=\logτ(p-1)/\log\log p$. Known Mersenne-prime exponents $p\ge13$ show systematically elevated values of $S$ relative to nearby prime exponents. In the population-level Wagstaff-balanced design over all $5{,}761{,}450$ prime exponents $13\le p<10^8$, $32$ of the $47$ known cases lie in the higher-$S$ regions; the exact conditional randomization gives the two-sided reference value $p_{\mathrm{two}}=0.0115$. We develop a structural model from the cyclotomic and residue constraints generated by the divisors of $p-1$. Within a declared factorwise representation, its local response is determined by the exact modular geometry, while subsequent effective aggregation remains model-dependent and transmission to primality is heuristic. The modular census is constructed without using $S(p)$ or $τ(p-1)$ as summary predictors and without using Mersenne-prime labels. Applied to the same population, it gives a higher-$S$ allocation of $28.61$ on the conditioned 47-case scale, compared with $23.5$ under the balanced Wagstaff reference. A low-dimensional reduction with reference anchoring gives $32.28$, close to the $32$ observed. This agreement provides a quantitative consistency check for the structural model. For the prospectively fixed interval $10^8\le p<10^9$, the same global reduction assigns a conditioned higher-$S$ share of $73.88\%$.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑