The Admissibility Constraint: A Pre-Parametric Condition for Functional Systems
Foundational preprint
The core admissibility condition underlying this project has been formally introduced as a standalone, falsifiable preprint.
The Admissibility Constraint: A Pre-Parametric Condition for Functional Systems (Zenodo, 2026) defines a substrate-independent condition that must hold before any oxygen-specific or vibrational framework becomes meaningful.
Abstract (Index version)
The Admissibility Constraint formalizes a minimal condition that must hold for any system to sustain function under perturbation.
A system is admissible if, after perturbation, it can re-enter a bounded region of functional equivalence within a finite coherence window sufficient to preserve functional identity.
This framework does not propose a mechanism, metric, or optimization principle. Instead, it specifies a necessary condition that must hold before parameterization, selection, or efficiency analysis becomes meaningful. Notably, increased speed, energy, or optimization may hasten functional collapse by reducing coherence time rather than restoring function.
The admissibility constraint is presented as a falsifiable structural hypothesis, applicable across physical, biological, informational, and cognitive systems whenever function depends on timely reintegration.