Topological Invariance, Phase Inversion, and Boundary Extinction in Coupled Resource-Agent Non-Linear Dynamical Systems

This paper establishes a rigorous non-linear mathematical framework mapping the coupled continuous-time dynamics between an emitting source potential, designated as the Resource Field (x), and an autonomous self-replicating entity, defined as the Agent Population (y). Utilizing a modified Lotka-Volterra topology modulated by a directional parity operator \sigma=\pm1, we analytically derive and simulate both the forward evolution (Growth Phase) and the inverse deconstruction (Dissipation Phase). We prove that while individual trajectories exhibit velocity inversion, the non-trivial equilibrium point---the Dynamic Neutral Point---remains strictly invariant under phase transformations. Furthermore, we define the critical boundary conditions governing system failure through the analytical formulation of both Source Collapse and Agent Extinction states, establishing the global stability landscape of the framework.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-09
DOI
https://doi.org/10.5281/zenodo.24092471
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
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article

Topological Invariance, Phase Inversion, and Boundary Extinction in Coupled Resource-Agent Non-Linear Dynamical Systems

David Botargues Martin
Zenodo (CERN European Organization for Nuclear Research)
Mathematical and Theoretical Epidemiology and Ecology Models
article

Topological Invariance, Phase Inversion, and Boundary Extinction in Coupled Resource-Agent Non-Linear Dynamical Systems

David Botargues Martin
article en

Abstract

This paper establishes a rigorous non-linear mathematical framework mapping the coupled continuous-time dynamics between an emitting source potential, designated as the Resource Field (x), and an autonomous self-replicating entity, defined as the Agent Population (y). Utilizing a modified Lotka-Volterra topology modulated by a directional parity operator \sigma=\pm1, we analytically derive and simulate both the forward evolution (Growth Phase) and the inverse deconstruction (Dissipation Phase). We prove that while individual trajectories exhibit velocity inversion, the non-trivial equilibrium point---the Dynamic Neutral Point---remains strictly invariant under phase transformations. Furthermore, we define the critical boundary conditions governing system failure through the analytical formulation of both Source Collapse and Agent Extinction states, establishing the global stability landscape of the framework.

Zenodo (CERN European Organization for Nuclear Research)
Mathematical and Theoretical Epidemiology and Ecology Models
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