Boundary Pressure as a Universal Driver Across Domains

This paper proposes that boundary-induced indeterminacy generates a universal form of structural pressure (FB) that drives system evolution across disparate domains. Within the Theory of Non-Derivable Admissibility (TNA) framework, FB emerges whenever a system encounters its limits of validity, manifesting as singularities in physics, out-of-distribution (OOD) failures in machine learning, and paradoxes in cognition. We argue that these phenomena are not errors or terminal points, but rather structural signals and generative forces that trigger subsequent adaptation. By defining a unified structural law where boundary indeterminacy leads to domain expansion (^+), this work establishes expansion under constraint as a domain-independent principle. Ultimately, we show that systems evolve indefinitely by confronting their inherent limits, transforming structural failure into the primary driver of evolution.