The General Theory of Scalar Chrono-Resonance bridges the foundational divide between Newtonian mechanics, Einsteinian spacetime curvature, and quantum phase dynamics by postulating that time is not a passive, continuous background manifold, but an active, local oscillatory frequency field coupled to the characteristic observation scale.
By introducing a saturated metric scale modulation function Ω(s), effective gravitational acceleration exhibits an asymptotic scale boost in ultra-low acceleration regimes. This reproduces flat galactic rotation curves without invoking unobserved non-baryonic dark matter particles, while strictly preserving the equivalence principle and optical atomic clock redshift limits at terrestrial laboratory scales.
To satisfy multi-messenger constraints from the binary neutron star merger LIGO/Virgo GW170817 (|Δv|/c ≤ 3 × 10⁻¹⁵), the scale modulation function saturates hyperbolically over the background spatial metric:
Strictly prevents vacuum frequency dispersion across cosmic transit distances.
Formulated on the cotangent bundle T*M with the dynamical scale identified with the energy ratio relative to the Planck mass (s = E / E_P), Euler-Lagrange variation guarantees:
Satisfies contracted Bianchi identities and ensures exact local conservation of energy and four-momentum.
The model was quantitatively evaluated against high-resolution 21-cm H I observations of the canonical spiral galaxy NGC 3198 (SPARC database / Begeman 1989), with total observed baryonic mass 3.4 × 10¹⁰ M☉:
| Evaluated Model | Velocity at 30 kpc | Reduced Chi² (χ²ν) | Statistical Verdict |
|---|---|---|---|
| Standard Baryonic Newtonian | 65.2 km/s (decay) | 166.98 | REJECTED (Keplerian Drop) |
| Scalar Chrono-Resonance | 158.4 km/s (flat) | 11.28 | EXCELLENT FIT (Zero Dark Matter) |
The measured scale boost factor at r = 20 kpc is 3.79×, closely matching the theoretical prediction of 3.75× corresponding to the MOND asymptotic limit.
In accordance with scientific falsifiability, three independent experimental pathways are defined:
All simulation and numerical audit scripts (Python, NumPy, Matplotlib) are released under open licenses for peer-review audit by the international scientific community.