3D Multi-Basin Attractor Dynamics and Galactic Infall via Non-Markovian K-Kernel Potential

We extend the analytical formulation of the non-Markovian K-Kernel potential to three spatial dimensions to model the multi-basin attractor dynamics of the local universe. The effective potential is defined as a superposition of decaying Yukawa terms and a quadratic dark energy background, creating a complex 3D topological landscape. The simulation visualizes the 3D potential surface alongside the spatial distribution of galaxies infalling towards local minima. The results confirm that the K-Kernel memory mechanism naturally produces multiple distinct gravitational basins, such as the Laniakea Supercluster, while preventing global collapse. This 3D visualization provides a robust computational tool for studying the large-scale structure of the cosmos.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-06
DOI
https://doi.org/10.5281/zenodo.24021015
Primary Topic
Cosmology and Gravitation Theories
Type
preprint
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preprint

3D Multi-Basin Attractor Dynamics and Galactic Infall via Non-Markovian K-Kernel Potential

MOHAMMED TAHAR SAIM
3 links
Zenodo (CERN European Organization for Nuclear Research)
Cosmology and Gravitation Theories
preprint

3D Multi-Basin Attractor Dynamics and Galactic Infall via Non-Markovian K-Kernel Potential

MOHAMMED TAHAR SAIM
preprint en

Abstract

We extend the analytical formulation of the non-Markovian K-Kernel potential to three spatial dimensions to model the multi-basin attractor dynamics of the local universe. The effective potential is defined as a superposition of decaying Yukawa terms and a quadratic dark energy background, creating a complex 3D topological landscape. The simulation visualizes the 3D potential surface alongside the spatial distribution of galaxies infalling towards local minima. The results confirm that the K-Kernel memory mechanism naturally produces multiple distinct gravitational basins, such as the Laniakea Supercluster, while preventing global collapse. This 3D visualization provides a robust computational tool for studying the large-scale structure of the cosmos.

Zenodo (CERN European Organization for Nuclear Research)
Cosmology and Gravitation Theories
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