Early-Universe Dynamics on a Universal Substrate: An Effective Field Theory Based on the Computation Resource Finiteness Hypothesis
Abstract
We propose the Universal Substrate model, which conceptualizes the universe as an information-processing system executed on finite computational resources. Based on the Computation Resource Finiteness Hypothesis (CRFH), we construct an effective field theory that encompasses both the Standard Model of particle physics and General Relativity by introducing two fundamental fields: the execution field $\psi$, governing realized computational states, and the unexecuted-history field $\phi$, encoding unrealized computational branches. Within this framework, cosmic inflation in the early universe is naturally derived as a forced expansion of the address space, arising as a side effect required to prevent saturation of computational density caused by runaway recursive execution loops. Mass is redefined as latency associated with state updates, and the fundamental interactions of the Standard Model are reformulated as communication and execution protocols (Write / Read-Only / Update) for managing finite computational resources. Furthermore, dark matter is identified as unassigned computational loops lacking interaction protocols, while dark energy is interpreted as the background computational load required to maintain the global consistency of the address space. This interpretation accounts for the observational successes of the $\Lambda$CDM model without introducing new particles beyond the Standard Model. Finally, we discuss the falsifiability of the proposed framework through observational signatures such as discretely correlated spacetime noise and computational echoes in black hole merger events.
Fields of Study & Subjects
Cosmology and Gravitation Theories
Space Science and Extraterrestrial Life
Dark Matter and Cosmic Phenomena
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 January 2026
- Document type
- Preprint