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
- Konstantin Antonov
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