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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Zhu-Liang Inevitability of the Goldbach Conjecture

朱梁-哥德巴赫猜想的必然性推定
Authors: Zhu, Jianbing;

Zhu-Liang Inevitability of the Goldbach Conjecture

Abstract

在递归元网络理论框架下,本文提出并证明了哥德巴赫猜想的朱亮必然性。这一必然性断言,任何大于或等于4的偶数都可以表示为两个素数之和,这不是可通过约简证明的形式命题,而是由四个递归原语构成的因果网络整体熵最小化的必然结果:自然数递归原语\(\mathcal{N}\), 素递归原始元\(\mathcal{P}\)、偶数递归原原元\(\mathcal{E}\)以及加法结构递归原原元(\(\mathcal{A}\)。不可避免性在三个层面上被确立:首先,我们构建哥德巴赫递归原始网络,并定义一个网络熵函数 \(S_{\text{GC}} = \alpha S_{\text{exception}} + \beta S_{\text{Goldbach}} + \gamma S_{\text{density}} + \delta S_{\text{add-energy}} + \epsilon S_{\text{circle}} + \zeta S_{\text{zeros}} + \eta R_{\text{consistency}}\),测量例外集合测度, 戈德巴赫分解结构、加法密度、加法能、圆法贡献、零分布和一致性约束;其次,利用代谢守恒公理,我们证明了全熵最小化迫使所有偶数都是两个素数的和;最后,我们从元理论的角度阐明了这一经典数论问题作为因果网络自洽条件的本体地位。这种必然性使戈德巴赫猜想从“待证猜想”提升为递归因果网络的必然表现。

Keywords

Goldbach Conjecture; recursive primitive; causal network; entropy minimization; prime distribution; additive number theory; inevitability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average