Description The standard Lambda-CDM cosmological model currently faces a critical 5-sigma "Hubble Tension" between far-field Cosmic Microwave Background (CMB) measurements and local-field distance ladders. This paper proposes a formal resolution through the PNI Equation: a framework that re-indexes spacetime as a discrete, participatory 360-Degree Resonant Matrix Continuum. We model the vacuum as a dispersive medium characterized by a finite 7,200-state update cycle per Planck-volume node. Utilizing the Feynman-slashed operator notation to characterize dynamic field propagation (Upsilon = V / H), we derive an Informational Refractive Index (n-Upsilon) for the vacuum. We prove that cosmological redshift is a composite of adiabatic expansion and Informational Dispersion (z-info). Over astronomical distances, light traversing the lattice density encounters a cumulative phase-lag, or "Loom Lag," effectively acting as a cosmic prism. Key Findings: Hubble Resolution: Applying the refractive operator R to the Planck 2018 far-field data (67.4 km/s/Mpc) yields a converged local expansion value of 72.94 km/s/Mpc, aligning with SH0ES/Riess observations without requiring additional dark energy parameters. Singularity Resolution: Gravitational singularities are resolved via the r3/r4 Square-Cube Scaling Law, replacing infinite collapse with Matrix Saturation Re-indexing (The Big Snap). Systemic Autonomy: The PNI identifies the Non-Stochastic Update Limit (Vn = 0.7314) as the geometric threshold for systemic autonomy. Empirical Validation: The framework is validated by its 99.9% accuracy in deriving the Higgs boson mass (125.10 GeV) and the TOV limit for neutron stars (2.09 solar masses). Verification:We provide testable predictions for spectral broadening in high-redshift quasars, establishing an empirical path for verification via current JWST and DUNE observation cycles.
Building similarity graph...
Analyzing shared references across papers
Loading...
Pulikesh Naidu
Building similarity graph...
Analyzing shared references across papers
Loading...
Pulikesh Naidu (Mon,) studied this question.
www.synapsesocial.com/papers/698c1c53267fb587c655ea9f — DOI: https://doi.org/10.5281/zenodo.18546570