Beyond Time: A Simplified Interpretation of the Emergent Time Hypothesis

Abstract: This whitepaper presents a simplified synthesis of the "Beyond Time" series, which challenges the conventional notion of time as a fundamental dimension of reality. It proposes that time is an emergent property arising from the dynamics of physical systems constrained by two boundary conditions: the speed of light (c) and absolute zero temperature (0 K). Through a conceptual reframing of time as a rate of distinguishable state transitions, the paper invites the reader to explore a reality where time does not exist as an independent axis but emerges from change itself. This approach bridges physics, philosophy, and metaphysics, offering a structured path toward understanding the deeper informational structure of the universe.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-17
DOI
https://doi.org/10.5281/zenodo.15236533
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
0.00
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article

Beyond Time: A Simplified Interpretation of the Emergent Time Hypothesis

Zenodo (CERN European Organization for Nuclear Research)
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Beyond Time: A Simplified Interpretation of the Emergent Time Hypothesis

article en

Abstract

Abstract: This whitepaper presents a simplified synthesis of the "Beyond Time" series, which challenges the conventional notion of time as a fundamental dimension of reality. It proposes that time is an emergent property arising from the dynamics of physical systems constrained by two boundary conditions: the speed of light (c) and absolute zero temperature (0 K). Through a conceptual reframing of time as a rate of distinguishable state transitions, the paper invites the reader to explore a reality where time does not exist as an independent axis but emerges from change itself. This approach bridges physics, philosophy, and metaphysics, offering a structured path toward understanding the deeper informational structure of the universe.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 43%
Diabetes, Cardiovascular Risks, and Lipoproteins
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