Structural Time

Time in physics is traditionally treated as a fixed background parameter: absolute in Newtonian mechanics, geometric in relativity, and an external evolution parameter in quantumtheory. These formulations are mutually incompatible across scales, and the incompatibilityremains unresolved. We propose a new, scale-free definition of time based not on physical duration but on structural updates — the meaningful changes a system undergoes in its internalorganisation. This variable, which we call structural time, is dimensionless, domain-agnostic,and invariant under resampling. It provides a unified temporal framework applicable fromquantum oscillators to planetary dynamics. We demonstrate that structural time remainspredictive under coarse-graining, sparse sampling, and cross-scale transformations. Usingvalidated results from the Cohesion UFT framework applied to orbital mechanics and atmospheric dynamics, we show that structural time anticipates regime shifts, structural collapse,and intensification events in advance of those transitions appearing in physical time. Weargue that structural time offers a foundational diagnostic variable for multi-scale physicsand a unifying principle for the study of complex systems. This paper presents the conceptand its grounding in demonstrated results; the broader theoretical development is offered tothe research community for testing and extension.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-23
DOI
https://doi.org/10.5281/zenodo.19560264
Primary Topic
Quantum chaos and dynamical systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural Time

Dexter Coen Gilbert
Zenodo (CERN European Organization for Nuclear Research)
Quantum chaos and dynamical systems
article

Structural Time

Dexter Coen Gilbert
article en

Abstract

Time in physics is traditionally treated as a fixed background parameter: absolute in Newtonian mechanics, geometric in relativity, and an external evolution parameter in quantumtheory. These formulations are mutually incompatible across scales, and the incompatibilityremains unresolved. We propose a new, scale-free definition of time based not on physical duration but on structural updates — the meaningful changes a system undergoes in its internalorganisation. This variable, which we call structural time, is dimensionless, domain-agnostic,and invariant under resampling. It provides a unified temporal framework applicable fromquantum oscillators to planetary dynamics. We demonstrate that structural time remainspredictive under coarse-graining, sparse sampling, and cross-scale transformations. Usingvalidated results from the Cohesion UFT framework applied to orbital mechanics and atmospheric dynamics, we show that structural time anticipates regime shifts, structural collapse,and intensification events in advance of those transitions appearing in physical time. Weargue that structural time offers a foundational diagnostic variable for multi-scale physicsand a unifying principle for the study of complex systems. This paper presents the conceptand its grounding in demonstrated results; the broader theoretical development is offered tothe research community for testing and extension.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 15%
Quantum chaos and dynamical systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Structural Time — Dexter Coen Gilbert · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS