Gravitational Flux Transport Networks v4.0: Geometry Without Darkness — A Parameter-Free Alternative to Dark Matter

This paper presents a geometric resolution to the dark matter problem. The central claim is: Newton was right, the calculation was right, and the geometry was wrong. Applying spherical Gaussian surfaces (A_eff = 4πr²) to disk-shaped galaxies understates the effective flux area by a factor of r/H ≈ 20–100. Dark matter is the mathematical residual of this geometric error, not a physical substance. We develop the Gravitational Flux Transport Network framework, in which the gravitational acceleration is g = GM_enc/A_eff, where A_eff depends on the geometry of the mass distribution. Two foundational principles determine A_eff: (1) A feedback principle: gravitational flux concentrates matter, which further…