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April 11, 20260 citationsOpen Access

Invariant Temporal Ordering and System-Dependent Rate Variation: A Structural Reinterpretation of Temporal Phenomena

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YGYoussry Ghandour

Key Points

  • The main aim is to present a new framework for understanding time as an invariant ordering of physical states.
  • Developed the Invariant Temporal Ordering Framework (ITOF) to analyze temporal phenomena.
  • Interpreted time as an invariant rather than a dynamic variable.
  • Explored system-dependent physical processes affecting observable rate variation.
  • Rate variation is linked to specific physical processes within systems.
  • The framework aligns well with existing empirical observations.
  • Offers a structured reinterpretation of temporal phenomena.

Abstract

This work presents the Invariant Temporal Ordering Framework (ITOF), in which time is interpreted as an invariant ordering of physical states rather than as a dynamical variable. Observable rate variation is attributed to system-dependent physical processes, while temporal ordering remains invariant. The framework preserves agreement with established empirical observations while providing a structured reinterpretation of temporal phenomena.

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Cite This Study

Youssry Ghandour (2026) studied this question.

synapsesocial.com/papers/69d9e64e78050d08c1b76af2https://doi.org/10.5281/zenodo.19479498
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