Spiral Informational Cosmology: Emergent Spacetime from Informational Density

We propose a model in which spacetime, gravity, and energy emerge as properties of an informational density field I(xμ)I(xμ). A fundamental equation of time as the ratio of structural complexity to entropy is introduced: dt=dC/dSdt=dC/dS. The spacetime metric depends on II through a generalized interval. In the low-gradient limit, Einstein's equations are recovered as a low-energy limit of the informational action. Predictions include a dipole asymmetry in the Hubble law and spiral modulation of the cosmic microwave background. Test criteria for future cosmological surveys are outlined.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-17
DOI
https://doi.org/10.5281/zenodo.21984830
Primary Topic
Statistical Mechanics and Entropy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spiral Informational Cosmology: Emergent Spacetime from Informational Density

Антон Соколов
Zenodo (CERN European Organization for Nuclear Research)
Statistical Mechanics and Entropy
article

Spiral Informational Cosmology: Emergent Spacetime from Informational Density

Антон Соколов
article en

Abstract

We propose a model in which spacetime, gravity, and energy emerge as properties of an informational density field I(xμ)I(xμ). A fundamental equation of time as the ratio of structural complexity to entropy is introduced: dt=dC/dSdt=dC/dS. The spacetime metric depends on II through a generalized interval. In the low-gradient limit, Einstein's equations are recovered as a low-energy limit of the informational action. Predictions include a dipole asymmetry in the Hubble law and spiral modulation of the cosmic microwave background. Test criteria for future cosmological surveys are outlined.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 9%
Statistical Mechanics and Entropy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.