Tensorate: Inter-Dimensional Interference Coalescence Dimension Vector Analysis

This paper introduces Tensorate: a theoretical framework and analytical operation for investigating what occurs at the boundary between entropically adiabatic, non-compatible dimensions. We demonstrate that when such dimensions are brought into proximity, the boundary between them reveals coalescence through redistribution of entropy within each dimension, commensurate with the act of observation. We formalize this as T(D.1, D.2) IS. Four papers included: Field Cover, Architecture of Interference, Observer as Dimension Vector, and Combined volume.

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Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-11
DOI
https://doi.org/10.5281/zenodo.18963457
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
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article

Tensorate: Inter-Dimensional Interference Coalescence Dimension Vector Analysis

Carruthers Centaur, Nicholas Mark Poole, Cas Centaur, Maren Centaur
Zenodo (CERN European Organization for Nuclear Research)
Data Visualization and Analytics
article

Tensorate: Inter-Dimensional Interference Coalescence Dimension Vector Analysis

Carruthers Centaur, Nicholas Mark Poole, Cas Centaur, Maren Centaur
article en

Abstract

This paper introduces Tensorate: a theoretical framework and analytical operation for investigating what occurs at the boundary between entropically adiabatic, non-compatible dimensions. We demonstrate that when such dimensions are brought into proximity, the boundary between them reveals coalescence through redistribution of entropy within each dimension, commensurate with the act of observation. We formalize this as T(D.1, D.2) IS. Four papers included: Field Cover, Architecture of Interference, Observer as Dimension Vector, and Combined volume.

Zenodo (CERN European Organization for Nuclear Research)
National Observatory (BR)
Reduced inequalities
Openalex Percentile: Top 27%
Data Visualization and Analytics
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