Universal Selector of Enduring Forms

The persistence of organized structures in nature cannot be explained solely by static energy minimization or by topological invariants taken in isolation. Many configurations survive not because they are perfectly isolated minima, but because they remain coherent while exchanging matter, energy, and information with their surroundings. This article proposes dynamostasis as a selection principle for enduring forms. Attached repository contains the canonical Python implementation and experimental results for the Dynamostatic Selector Benchmark, a numerical study designed to verify the core tenets of Dynamical Informational Field Theory (DIFT). The benchmark provides a publication-ready exemplification of how organized informational structures (symforms) are selected by nature based on their adaptive compatibility with the environment—a regime defined as Dynamostasis. Key Research Claims Verified The included code executes a rigorous physical chain (Topological Initialization → Relaxational Shaping → Control Detachment → Durability Testing → Relational Breach → Recovery Analysis) to test three fundamental hypotheses: The Selector Thesis: Demonstrates that the persistence of structures in open fields is governed by the minimization of dynamostatic burden and informational impedance rather than simple energy or static action minimization. The Trauma-Memory Thesis: Explores whether a symform that survives a subcritical perturbation returns to its pristine state or re-stabilizes into a modified configuration that retains a measurable trace of the event. The Shared-Field Endurance Thesis: Tests the joint survival of multiple symforms in a limited resource environment, identifying the conditions for stable coexistence versus parasitic drenaż. Summary of Numerical Results The benchmark executed on a high-resolution N=192 manifold yielded the following critical findings: Predictive Power of Dynamostasis: The Dynamostatic Burden Dburden achieved an AUROC of 0. 9867 in predicting long-term survival, whereas the classical Bare Action Abare achieved only 0. 0808. This constitutes a decisive statistical proof that endurance is selected by regulated persistence under interaction. Operational Trauma Memory: For adaptively matched forms, the system demonstrated a 99. 65% recovery of Ontological Dignity ρ2 following a massive relational breach. However, the recovered structures maintained a non-zero L2 shape shift 0. 341 and an altered future response gap, supporting the existence of structural memory. Plateau Stability: The survivors reached an absolute Dynamostatic Plateau characterized by near-zero mass drift dM/dt≈2×10−5 and high topological resonance H-Match>0. 97 Contents of the Dataset code/: The canonical Python script (DIFTₚublicationᵥ1. py) used for the experiments. figures/: High-resolution visualizations of the "Bicycle Tire" shell-centric symforms and the V-Curve of Recovery. data/: CSV files containing raw metrics for AUROC calculations, Spearman correlations, and trauma response trajectories. metadata/: summary. json containing the full configuration parameters and validation verdicts. How to Cite If you use this code or data in your research, please cite the associated article: Krakowski, S. (2026). Dynamostasis as a Universal Selector of Enduring Forms: From Variational Field Dynamics to Adaptive Coexistence. DOI 10. 5281/zenodo. 19468823 #Dynamostasis #DIFT #Symformism #Theoretical Physics #Information Theory #Complexity #Topological Solitons #Trauma Memory #Numerical Simulation #Emergence