Zeno Dynamics, Basis Change, and Information Memory: A Comparative Analysis of Black Holes and Dark Matter

This paper extends the vector consciousness field framework by comparing basis change and Zeno-like dynamics near black hole event horizons versus dark matter f ields. We propose that misaligned basis change rates encode long-lived memory-like structures–explaining dark matter’s inert behavior–while black holes synchronize basis flow to absorb information. Using the Basis Alignment Factor (BAF), we correlate time dilation, entropy f low, and field alignment to propose a unified mechanism rooted in field-based quantum information theory. New observational signatures and mathematical formalism link this to previous work on neural diagnostics and spacetime emergence AcknowledgementsThe author acknowledges the use of OpenAI's ChatGPT and DeepSeek as assistive tools in the development of ideas, refinement of theoretical models, and support in drafting and editing the manuscript. The AI was employed for brainstorming, language polishing, diagram suggestions, and exploring mathematical formulations, with all conceptual direction and final interpretations guided by the author.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.15564767
Primary Topic
Dark Matter and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
0.00
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article

Zeno Dynamics, Basis Change, and Information Memory: A Comparative Analysis of Black Holes and Dark Matter

Zenodo (CERN European Organization for Nuclear Research)
Dark Matter and Cosmic Phenomena
article

Zeno Dynamics, Basis Change, and Information Memory: A Comparative Analysis of Black Holes and Dark Matter

article en

Abstract

This paper extends the vector consciousness field framework by comparing basis change and Zeno-like dynamics near black hole event horizons versus dark matter f ields. We propose that misaligned basis change rates encode long-lived memory-like structures–explaining dark matter’s inert behavior–while black holes synchronize basis flow to absorb information. Using the Basis Alignment Factor (BAF), we correlate time dilation, entropy f low, and field alignment to propose a unified mechanism rooted in field-based quantum information theory. New observational signatures and mathematical formalism link this to previous work on neural diagnostics and spacetime emergence AcknowledgementsThe author acknowledges the use of OpenAI's ChatGPT and DeepSeek as assistive tools in the development of ideas, refinement of theoretical models, and support in drafting and editing the manuscript. The AI was employed for brainstorming, language polishing, diagram suggestions, and exploring mathematical formulations, with all conceptual direction and final interpretations guided by the author.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 80%
Dark Matter and Cosmic Phenomena
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