Uncovers a dimensionless coupling constant in computational gravity, suggesting new frameworks for information processing.
This research formalizes the framework of Computational Gravity, proposing that information processing exhibits constraint-driven behavior analogous to physical dissipative systems. Through the Möbius Falsification Methodology, we report the stable emergence of a dimensionless informational coupling constant, κ_VP ≈ 2.3, across heterogeneous architectures. This work unifies concepts from Verlinde’s entropic gravity, Landauer’s limit, and information geometry to resolve structural inefficiencies in distributed consensus. This deposit includes three interconnected modules: 1. Computational Gravity (Theoretic-Mathematical Core), 2. Irrational-Phase Scheduling (Engineering and Latency Validation), and 3. Physical Interpretation (Cosmological Implications and Hubble Tension resolution).
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Mariano Panzano Caballé (2006) studied this question.
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