Uncertainty as a Structural Property of Constraint-Coupled Persistent Systems
Deepak Mohan
Abstract Uncertainty-like precision tradeoffs appear across domains that share no common physical substrate: quantum observables, time-frequency representation, statistical learning, control systems, and adaptive cognition. These are typically treated as domain-specific curiosities. This paper argues that they are instances of a single structural class: state-space admissibility constraints on bounded, dynamic systems. We identify the primitive condition from which this class emerges — when observables are constraint-coupled projections of an evolving state trajectory, their simultaneous deterministic fixation becomes structurally forbidden. This is not a consequence of measurement disturbance. It is a consequence of the requirement that the system persist. We derive this result from persistence-theoretic first principles, demonstrate its instantiation across domains, and distinguish two contributing mechanisms: structural uncertainty arising from constraint geometry, and interactional uncertainty arising from scale-dependent probe coupling. We further show that physical constants and invariants are more accurately described as high-solvency attractors — asymptotically stable but bounded by nonzero epistemic uncertainty. The paper positions these results as a category-level abstraction. No domain-specific theory is replaced; each remains intact as a specialisation within the structural class identified here. Keywords: persistence, constraint coupling, generalized uncertainty, state-space admissibility, bounded dynamical systems, measurement theory, scale-dependent observation
•Feb 20, 2026•0 citations