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Thesis . 2026
License: CC BY
Data sources: Datacite
ZENODO
Thesis . 2026
License: CC BY
Data sources: Datacite
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Numerical Exploration of Cascade Genesis_ A Toy Simulation of Multiverse Formation from a Zero-Energy Field

Authors: Kojima, Shuzo;

Numerical Exploration of Cascade Genesis_ A Toy Simulation of Multiverse Formation from a Zero-Energy Field

Abstract

This paper provides a numerical exploration of the Cascade Genesis Theory, investigating the emergence of a multiverse from a symmetric primordial state.Key features of this simulation include: Stochastic Modeling: Implementation of a real scalar field governed by diffusion, nonlinear self-interaction ($\lambda\phi^3$), and Gaussian noise. * Decoupling Mechanism: A unique "Universe Seed" criterion where local regions exceeding a critical threshold $\phi_c$ are removed from the background field to simulate causal separation . * Stability Analysis: Demonstration that the global matter-antimatter balance is preserved despite localized symmetry breaking.The document includes the complete Python source code for transparency and reproducibility . This work serves as a conceptual proof-of-concept for nonlinear cascade dynamics in early-universe cosmology.

Keywords

Physical cosmology

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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