Decoherence and Perceptual Smoothing in a Discretely Updated EQGT Universe
Abstract
Decoherence and Perceptual Smoothing in a Discretely Updated EQGT Universe presents a conceptual extension of the EQGT framework, offering a structural reinterpretation of decoherence, observable continuity, and conservation laws. Rather than treating decoherence as a fundamental physical process or conservation laws as axiomatic principles, this work argues that all three emerge naturally from a universe that is updated discretely at scales far below observational resolution. Physical reality is modeled not as a collection of persistent static entities, but as dynamically regenerated patterns that either succeed or fail to propagate across successive frame updates. Two key mechanisms are introduced: Frame Skipping: sub-frame events that do not survive across frame boundaries leave no trace in observable history. Perceptual Smoothing: the effective averaging imposed by observational limitations, whereby only frame-persistent structures dominate experienced continuity. Within this framework, decoherence arises as the failure of fine-grained correlations to survive statistical dominance and inter-frame propagation, rather than as an active destruction of coherence. Conservation laws emerge as effective constraints applying only to quantities that persist across frames, while sub-frame redistributions remain observationally inaccessible. This paper is intentionally qualitative and structural. It does not propose new dynamical equations, but instead clarifies how discreteness, continuity, decoherence, and conservation can be understood as mutually consistent consequences of observational embedding within a regenerative universe. The work is released under a CC0 (public domain) license to encourage unrestricted examination, critique, and extension across physics, information theory, and philosophy of science.
Fields of Study & Subjects
Quantum Mechanics and Applications
Statistical Mechanics and Entropy
Space Science and Extraterrestrial Life
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 3 January 2026
- Document type
- Thesis