Abstract

This technical disclosure formalizes a particle-free, multi-scale extension of the Dimensionally Extended Holographic Projection (DEHP) model, bridging the gap between macro-galactic dynamics and localized planetary geophysics. We propose a non-baryonic alternative to standard mechanics by replacing discrete thermodynamic and particle-heavy assumptions with a continuous, two-dimensional (2D) phase-fluid substrate (z=0) operating in absolute harmonic resonance. Within this architecture, three-dimensional (3D) planetary matter is modeled as a dense, high-tension wave macro-cluster (z>0) mechanically linked to zero-volume antimatter anchors (z<0) via continuous information-coherent tethers.

Rather than contradicting the observed viscoelastic, solid-state creep properties of Earth’s mantle, we establish a formal Mechanical-Metric Duality. We demonstrate that macroscopic mantle rheology is the direct holographic projection of the spatial substrate's underlying metric elasticity adjusting to horizontal surface tension corrections.

By treating the kinetic energy density of the spinning solid inner core as an active component of the local stress-energy tensor (\(T_{\mu \nu }\)), we derive a deterministic Kinetic-to-Informational Bridge that maps rotational angular velocity directly to a dimensionless Computational Saturation Index (\(\sigma _{\text{compute}}\)) bounded by covariant entropy limits.

We show that Earth's observed 70-year core oscillation is a localized, macroscopic "Substrate Pushback" cycle—an acoustic relaxation event where native surface tension snaps the core's built-up torsional momentum back toward structural equilibrium. Furthermore, episodic seafloor spreading at mid-ocean ridges is reframed as a global, crustal pressure-release valve that vents accumulated horizontal z-axis membrane stress.

Finally, we project this framework to its geometric limits at the black hole event horizon, where 3D coordinate volume flattens completely back onto the 2D sheet, preserving information flat on the anchor packing boundary. We provide an executable Python reference algorithm modeling this kinetic-informational coupling and propose explicit, falsifiable empirical testing criteria utilizing global satellite gravity mapping and seismic array datasets.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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