Emergent Dark Matter from Information Density Gradients: A Unified ICT Framework for Spacetime Dynamics

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Authors: Abdul-Muhaymin Adel Al-Kilani Al-Kilani
Cited by: 0

Abstract

In this work, we present the Information-Constrained Theory (ICT), a novel framework in which spacetime curvature and dark matter phenomena emerge directly from gradients of information density, without invoking hypothetical particles. By extending Einstein’s field equations to include a second-order information term, we define an effective dark matter stress-energy tensor that naturally reproduces flat galactic rotation curves and gravitational lensing effects. A detailed derivation of the coupling constant � demonstrates that it is determined by the characteristic scale of information gradients, anchoring the model in observable astrophysical data. ICT provides a unified, testable explanation for both gravitational dynamics and emergent dark matter, offering a fresh perspective on the structure of spacetime as an information-driven entity.

Fields of Study & Subjects

Dark Matter and Cosmic Phenomena Cosmology and Gravitation Theories Pulsars and Gravitational Waves Research

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 January 2026
Language
EN
Document type
Thesis