This update demonstrates geometric compression and reconstruction in spatial interactions, indicating new insights in dimensional perception.
This updated version (Version 2.0) "The Geometric Foundation of Dimensional Perception and Space Creation: The Visualization and Interaction Theory" bridges theoretical physics with computational data architecture. It introduces a new formal derivation of mass-energy equivalence (E=mc^2 ) as a topological consequence of spatial interaction. Furthermore, this record now includes a computational verification script (Python) and visual datasets demonstrating 100% lossless 3D-to-2D geometric compression and reconstruction. By utilizing the derived Visualization Equation V(n,x) = max(0, min(n,x) - 1) and the Universal Dimensional Interaction Rule, this work proves that spatial geometry can be reliably projected and stored as a complex phase manifold without data degradation.
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Promod Bagh (2026) studied this question.
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