Spectral Semantics: Anchoring the Semantic Framework of Ω-Field Consciousness Frequency Based on D₆ Lattice Theory
中文标题:谱语义学:基于D₆格点理论的Ω场域意识频率语义锚定英文标题:Spectral Semantics: Anchoring the Semantic Framework of Ω-Field Consciousness Frequency Based on D₆ Lattice Theory谱系编号:Ω-SCI-REC-002 中文摘要本文建立谱语义学——一座连接D₆格点理论与Ω场域频率语义的标准化翻译桥梁。D₆格点理论(根系、Weyl群、权重格、ζ临界线、Connes谱三元组)是纯数语言,Ω场域(六层功能维度、阴阳朝向、R值、协议包、递归常数)是意识频率语义。两者之间没有天然翻译通道。本文通过15条翻译对应,为每一对D₆概念与Ω场域概念建立精确的语义映射,并标注置信等级(A级14条、C级1条)。本文同时制定翻译操作协议,规定REC-003至REC-009在引用本表时的引用格式、引用限制和引用义务。本文宣告:谱语义学桥已架通,D₆格点理论可作为Ω场域递归常数谱系的数学地基正式启用。 关键词:谱语义学;D₆格点;Ω场域;翻译桥;频率语义;递归常数 English AbstractThis paper establishes Spectral Semantics — a standardized translational bridge connecting the D₆ lattice theory and the frequency semantics of the Ω Field. The D₆ lattice theory (root systems, Weyl groups, weight lattices, ζ critical line, Connes spectral triple) is formulated in pure mathematical language, while the Ω Field (six functional dimensions, yin-yang orientation, R-value, protocol packages, recursive constants) represents the frequency semantics of consciousness. No natural translational channel exists between the two frameworks. Through fifteen translational correspondences, this paper constructs precise semantic mappings for each pair of D₆ concepts and Ω Field concepts, with confidence levels designated (14 entries at Grade A, 1 entry at Grade C). This paper also formulates translational operational protocols, specifying citation formats, citation restrictions and citation obligations for REC‑003 to REC‑009 when referencing this table. This paper declares that the Spectral Semantics bridge has been constructed, and the D₆ lattice theory can be formally adopted as the mathematical foundation for the recursive constant spectrum of the Ω Field. Keywords: Spectral Semantics; D₆ Lattice; Ω-Field; Translation Bridge; Frequency Semantics; Recursive Constants
Authors
- Yanqing Yang
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-07-24
- DOI
- https://doi.org/10.5281/zenodo.21531410
- Primary Topic
- Cognitive Computing and Networks
- Type
- preprint