STANDARD \Psi: Architectural Limits of Stable Realizability and the Unified Core of Universal Flow Architecture

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Authors: Anna Taranova
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Abstract

This paper formalizes universal architectural constraints governing stable flow regimes across physical, biological, and complex systems. By applying established beam mechanics to the geometry of realizability space, the framework identifies four irreducible invariants — structural time (\tau), coincidence density (\zeta), circulation topology (\Omega), and admissibility boundary (B) — that define the boundaries of physical existence independent of specific force laws. Key Formal Advancements in this Version: • Admissibility Selection: Defines the projection operator \Pi as an atemporal, non-generative filter that selects physically realizable law-forms based on architectural consistency rather than dynamical evolution. • Structural No-Control Constraint: Establishes the No-Go Theorem, proving that beyond the Adaptive Capacity Horizon (N^*), stability through external control becomes energetically and structurally impossible, necessitating architectural self-organization. • Form vs. Object Distinction: Provides a falsifiable criterion for stability, distinguishing "forms" (regimes preserving \tau-invariance) from "objects" (frozen representations failing \tau-preservation). • Architectural Coupling: Introduces a non-causal correlation mechanism arising from shared constraint geometry, providing a geometric resolution to the measurement problem and phase synchronization without interaction. • Stochastic Integration: Bridges architectural predicates with Gaussian Processes and Information-Theoretic Clustering, defining Temporal Integration Nodes (TIN) where stochastic variance collapses into geometric coherence. Conclusion: The framework offers a categorical shift from interaction-based dynamics to architectural admissibility, providing explicit operational tests and falsification conditions for the emergence of stable complexity in any domain.

Fields of Study & Subjects

Complex Systems and Dynamics Advanced Mathematical Theories and Applications Advanced Thermodynamics and Statistical Mechanics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 February 2026
Language
EN
Document type
Preprint