Higgs-Zeno Gravity: Dark Matter as Measurement-Induced Spacetime Memory
Year: 2025
Type: article
Abstract: We present a complete framework unifying quantum measurement dynamics with general relativity through the Higgs-Zeno mechanism. **Dark matter is shown to emerge as spacetime curvaturememory** - a self-reinforcing gravitational effect from historical quantum measurements. The theoryresolves key observational puzzles without dark matter particles:• Galactic rotation curves via measurement-stabilized spiral spacetime (∆vpred/∆vobs < 5%)• Bullet Cluster lensing through measurement-decoupled curvature memory (KS test p = 0.62)• Large-scale structure formation via entanglement-regulated spacetime feedback**Novel predictions include**: Quantum spacetime echo signatures in gravitational waves (LISASNR ¿ 5), Zeno-suppressed black hole evaporation (ΓZeno/ΓHawking = 0.0032 ± 0.0004), andmeasurement-induced CMB anomalies. This work establishes **quantum measurement as fundamental to spacetime structure**. Version Deprecation NoticeThis version supersedes and replaces all prior versions (e.g., v1). Older versions are deprecated and contain outdated/incorrect claims. Do not cite or use any version except this one. The prediction concerning LISA's detection of quantum spacetime echoes is a theoretical proposition and has not been substantiated by empirical data or detailed modeling. Readers are advised to interpret this claim within the speculative context of the proposed framework. 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.
Author: Chatterjee, Dristi
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6968538509
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