Gyroscopic Constraints and Resolution-Limited State Selection Structural Origins of Quantization and Probability

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Authors: Toru Kawahara
Cited by: 0

Abstract

Overview This work presents a structural reinterpretation of fast internal degrees of freedom that remain unresolved under finite observational resolution. Rather than contributing additively to observable mass–energy, such unresolved dynamics are shown to function as constraints that determine which states are dynamically and observationally admissible. When internal dynamics evolve on timescales or length scales below observational resolution, their detailed trajectories cannot be directly accessed. Nevertheless, they impose consistency conditions that effectively project the full dynamical state space onto a reduced subset of allowed configurations. Within this framework, quantization, stability, and probabilistic descriptions arise as unified consequences of constraint-based state selection rather than from fundamental indeterminism. Probability is interpreted not as an intrinsic randomness of nature, but as a measure over ensembles of microscopic trajectories that are compatible with the same effective observable state under resolution-limited observation. This study introduces no new particles, forces, or interaction terms. Instead, it reassigns the structural role of unresolved degrees of freedom within existing dynamical frameworks, clarifying how quantization and probability emerge from deterministic dynamics subject to finite observational resolution. Supplementary Information (Dataset) A snapshot of the dataset used in this study is provided as Supplementary Information in CSV format for convenience.The authoritative and continuously revised version of the dataset is archived on Zenodo with a persistent DOI. The data used in this paper correspond exactly to the version associated with the following DOI:DOI: 10.5281/zenodo.18097066

Fields of Study & Subjects

Advanced Thermodynamics and Statistical Mechanics Statistical Mechanics and Entropy Complex Systems and Dynamics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 January 2026
Document type
Thesis