Published June 24, 2026 | Version 2

Paper 25: Scale-Extended Matter Sources and the 4D Poisson Equation

Contributors

Description

The Scale Space Framework (Paper 1) treats every gravitating body as a point source at a single scale address sM = ln(R/ℓ0), fixed by the outer radius R. This is inconsistent with Postulate 5 (scale extent postulate): every massive object has genuine, irreducible extent in the scale direction s. We resolve the inconsistency by replacing the point source Mδ^(3)(x)δ(s−sM) with a 4D matter density ρm(x,s) distributed over the body’s full scale extent [smin,smax] and solving the 4D Poisson equation. Three results follow within the kinematic weak-field approximation. First, the exterior potential recovers Φ ≈−GMeff/r in the far field, where the effective gravitational mass is Meff = F·Mtot and the shape factor 0 < F≤1 encodes the body’s internal scale structure via scale shielding: matter at depth s′ < sM contributes to the exterior field with weight e^(3(s′ −sM )/L) <1. Second, the effective scale curvature parameter Leff emerges as the mass-weighted harmonic mean of the local compactness L(r) = rc^2/[GM(r)] across the body, recovering Lbody when ∆s ≪L. Third, for compact objects where ∆s ∼L — neutron stars in particular — the internal mass distribution becomes the primary driver of F.
An EOS survey over five density profiles (ρc/¯ρ = 1–9) gives an EOS-robust suppression band F ≈0.68–0.85 (15–32% gravitational mass suppression), fully separated from the general relativity prediction F= 1. The Tolman VII profile admits the exact analytic result δs = 8/15 nats, F = 0.773. For bodies with L ≫∆s (Earth, white dwarfs), internal structure is irrelevant and existing results are unaffected.

Epistemic status of all results: Derived-conditional. All results are derived within the kinematic fixed-background weak-field framework of Paper 1. The dynamical self-consistency of the extended-source metric has not been verified against the 5D field equations (Papers 17–20). The corrections to the force law are model predictions, not yet confronted with observation.

Other

The mathematical development in this paper was produced in dialogue with Claude.ai (Anthropic) in Spring 2026, directed by the author. Use of AI assistance is acknowledged in accordance with standard scholarly practice.

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