
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.
Information-Constrained Theory (ICT) Emergent Dark Matter Information Density Gradients Spacetime Curvature Dark Matter Stress-Energy Tensor Newtonian Limit Galactic Rotation Curves Emergent Gravity Information Physics Cosmological Structure
Information-Constrained Theory (ICT) Emergent Dark Matter Information Density Gradients Spacetime Curvature Dark Matter Stress-Energy Tensor Newtonian Limit Galactic Rotation Curves Emergent Gravity Information Physics Cosmological Structure
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
