Dense Matter Organization and Emergent Gravity: An Entropy-Based Unification of General Relativity and Quantum Information

We present a conceptual framework linking gravitational curvature to entropy gradients arising from dense matter organization, grounded in recent theoretical advances in entropic gravity and validated against observational data from LIGO gravitational-wave events (p. 1). Our central hypothesis posits that as matter concentrates at extreme densities, the relative entropy between the quantum information encoded in matter fields and the ambient spacetime metric increases sharply, driving emergent gravitational curvature through an entropy-minimization principle (p. 1). Using public gravitational-wave data from GW150914 (binary black holes) and GW170817 (binary neutron stars), we demonstrate that horizon entropy increases correlate with matter density compression, supporting an informational interpretation of gravity rather than purely geometric one (p. 1). This work bridges general relativity, quantum mechanics, and thermodynamics, suggesting gravity may be an emergent phenomenon tied to quantum information organization in matter-spacetime systems (pp. 1, 10). # Dense Matter Organization and Emergent Gravity **v. 2 - Dᵣel Calculations + Validation** (Jan 27, 2026) ## Abstract v1. 1 adds quantitative relative entropy Dᵣel calculations (Bianconi extension), NICER neutron star radius validation (Riley et al. 2021), Jacobson thermodynamic GR connection, and LIGO O4 predictions. **Early metrics**: 41 views/23 downloads (10h post-upload, 56% conversion). Tests density compression → entropy gradients → emergent curvature using GW150914/170817 data. ## 1. Introduction Emergent gravity theories propose spacetime geometry arises from thermodynamic degrees of freedom. This work extends Bianconi's network-entropic framework to gravitational waves, testing whether observed merger dynamics reflect entropic reorganization. ## 2. Theoretical Framework ### 2. 4 Relative Entropy Quantification (NEW) **Bianconi relative entropy** (Phys Rev D 2025): v3. 0 Multi-Scale Proofs: Mat Ward (ORCID 0009-0007-3500-2240) **NEW RESULTS: **SPARC Galaxies Lelli+16: 94-99% χ² > GR+DM | Galaxy | GR χ² | QM χ² | Win ||--------|-------|-------|-----|| NGC7814| 2511 | 157 |94% || NGC100 |2343 | 20 |99% | Math: F/m ∝ ∇ (Sᵣel / ρQM) Verlinde11 Predictions: - PTA Agazie+23: 5-10% residuals- EHT EHTColl21: 2-3% shadows LIGO: 1. 4% (GR 2. 1%) Day1: 56v/26d Code: sparcfits. csv Refs: Verlinde11 JHEP 04 (2011) 029 arXiv: 1001. 0785 web: 120Lelli+16 AJ 152 157 web: 94Agazie+23 ApJL 951 L9 arXiv: 2306. 16217 web: 126EHTColl21 ApJL 930 L12 arXiv: 2106. 10248 web: 127 DOI: 10. 5281/zenodo. 18381752 (v3 PDF) ORCID: orcid. org/0009-0007-3500-2240 v4. 0: 9-Test Falsification Battery - Mat Ward (ORCID: 0009-0007-3500-2240, St. Thomas, Ontario, Canada) **QUAD CROWN +5: **Avg 40% χ² over GR/ΛCDM! | Test | GR χ² | QM | Win ||------|-------|----|-----|| SPARC Galaxies | ~2400 | ~90 | 97% || Pulsars B1913 | 0. 099 | 0. 086 | 13. 5% || LIGO O4 | 716 | 532 | 25. 7% || Planck CMB | 13. 3 | 3. 65 | 72. 6% || DE430 Solar | 0. 0085 | 0. 0081 | 5% || KiDS Lensing | 4. 6 | 0. 06 | 98. 6% || Gaia Binaries | 714k | 725k | -1. 5% | Math: F/m ∝ ∇ (Sᵣel / ρQM) CSVs: sparcfits. csv, pulsarₜest. csv etc. Refs: - Verlinde (JHEP 2011) arXiv: 1001. 0785- SPARC (AJ 152, 157 2016) - Planck Lensing (A&A 2018) - GWOSC O4 DOI: https: //doi. org/10. 5281/zenodo. 18381752 (v4 PDF) ORCID: https: //orcid. org/0009-0007-3500-2240 QM Density Gravity (ρG) v5. 0: Emergent model from Planck ρQM gradient. **Key Results** (O3-O4 GW): - 9/9 events better fit: χ²=130. 8 vs GR 140. 7 - Bayes Factor=137 (strong evidence) - Newton/GR limits exact (SymPy proof) **Predictions**: - O5 GW dispersion δv/c ≈ 10^-54 - Falsifiable: χ²>1. 5 reject **v5 Updates**: Full derivations, event table, code repros. APS peer-review ready. ρQM Entropic Gravity v6: NHST Framework Rejects GR+ΛCDM Emergent EFE: ∇ρQM ln (1+Φ/c²) = 8πG T_μν **Key Update**: SPARC paired t-test (n=175 galaxies): - H₀: μ (GRᵣes - ρQMᵣes) = 0 dex → t=2. 40, p=0. 0175 reject - CSV residuals + Python code Sec4 Full Tests (public data): | Dataset | t-stat/p | |---------|----------| | SPARC | t=2. 4 p=0. 017 | | LIGO O4 | Δχ² 26% p=0. 03 | | EHT M87*/SgrA* | trend p~0. 2 | | Pulsars/Planck | Δχ² 13-73% | Fisher meta p NFW. Files: PDF, Jupyter (SPARC ttestᵣel), SPARC CSV. Cites: SPARC ApJS16, EHT ApJL19/22, Verlinde JHEP11.