The Metabolism of Mass and Friction: Field Mechanics of Borrowed Reality

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-11
DOI
https://doi.org/10.5281/zenodo.24143812
Primary Topic
Complex Systems and Dynamics
Type
preprint
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preprint

The Metabolism of Mass and Friction: Field Mechanics of Borrowed Reality

Konstantin Antonov
Zenodo (CERN European Organization for Nuclear Research)
Complex Systems and Dynamics
preprint

The Metabolism of Mass and Friction: Field Mechanics of Borrowed Reality

Konstantin Antonov
preprint en

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.

Zenodo (CERN European Organization for Nuclear Research)
Complex Systems and Dynamics
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