Lag, Persistence, and the Emergence of Coherence Across Physical, Biological, and Informational Systems

Read full text
Authors: C. James Kruse
Cited by: 0

Abstract

This paper introduces a universal structural constraint governing the emergence of coherence across physical, biological, and informational systems. When any system receives input faster than it can locally resolve—whether photons in vision, molecular collisions in heat flow, or momentum transfer in fluids—it is forced into a predictable sequence: resolution bottleneck → lag → persistence → coherent compression → dissipation. Rather than proposing new mechanisms, we demonstrate that familiar phenomena including visual continuity, thermal gradients, turbulent vortices, wave descriptions, and learned representations are parallel instantiations of this single constraint operating across different substrates.The framework provides a novel perspective on the Clay Millennium Prize problem concerning Navier-Stokes smoothness. We argue that the mathematical difficulty is not merely technical but structural: the question of global smoothness implicitly demands infinite resolvability from equations explicitly constructed through finite-resolution compression. Turbulence and possible singularities emerge not as pathologies but as expected outcomes when forcing exceeds resolution capacity. This reframing suggests that smoothness is conditional rather than generic—a feature of the relationship between input flux, resolution limits, and dissipation rates rather than a guaranteed property of the continuum description.The work is falsifiable and makes testable predictions about coherence-dissipation relationships across normalized resolution regimes. It advances no new forces or entities, only an explicit recognition of constraints existing theories already obey implicitly. This approach may illuminate other open problems where resolution assumptions remain hidden in foundational formulations.

Fields of Study & Subjects

Complex Systems and Dynamics Advanced Thermodynamics and Statistical Mechanics Fluid Dynamics and Turbulent Flows

Publication details

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