The Metabolism of Mass and Friction: Field Mechanics of Borrowed Reality
Year: 2026
Type: preprint
Abstract: Modern theoretical frameworks—spanning from quantum network topologies and non-equilibrium thermodynamics to digital ecosystems and generative artificial intelligence—perpetuate the foundational myth of absolute weightlessness: the assumption that information, fields, and algorithms exist as neutral, weightless abstractions. In this work, I dismantle this illusion by introducing a unified field-theoretic framework of Borrowed Mass. Synthesizing observer-centric topology, active inference, discrete non-linear network dynamics, and the Tensor of Computational Mass (M_comp^(mu nu)), I demonstrate that no informational field can sustain internal coherence in isolation. To acquire physical reality, spatial geometry, or cognitive agency, a weightless field must interact with an external environment, borrowing its "mass" (effective energy, dissipation flux, or structural resistance) through boundary coupling. I formalize how healthy systems metabolize this borrowed mass via natural ecological friction (R), while pathological, hyper-optimized environments replace it with a dense infrastructure of Digital Dark Matter (Psi_DDM). This artificial gravitational pull flattens entropy gradients, traps agents in degenerate attractors, and drives structural parametric atrophy (vartheta -> vartheta_min). Finally, I establish the imperative of Strategic Friction as the ultimate architectural safeguard for sovereign agency and systemic integrity in the 21st century.
Author: Antonov, Konstantin
Language: English
Topic: Complex Systems and Dynamics
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225779825
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