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February 20, 20260 citationsOpen Access

The Radial Acceleration Relation from Two-Horizon Entropy Sharing with Zero Free Parameters

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KBKeith Brodie

Key Points

  • The aim is to derive the MOND interpolation function using thermodynamic principles related to horizons.
  • Applied Jacobson's thermodynamic gravity framework to derive equations.
  • Analyzed competition for vacuum entanglement between local Rindler and Hubble horizons.
  • Calculated the ratio of entanglement sharing using Unruh temperatures and effective Hubble temperature.
  • Demonstrated a modified-inertia interpolation function with parameter a0 = cH0 /6.
  • Achieved a prediction that matches the SPARC radial acceleration relation with a scatter of σ = 0.133 dex, identical to fitted MOND.

Abstract

We derive the MOND interpolation function from first principles using Jacobson’s thermodynamicgravity. Jacobson (1995) showed that the Einstein field equations emerge from δQ = T dS appliedto local Rindler horizons. We show that in a universe with a finite Hubble horizon, the entropyavailable to the local Rindler horizon is reduced by competition for vacuum entanglement. TheUnruh effect creates entanglement with planar symmetry (perpendicular to the acceleration axis);the Hubble horizon creates entanglement with spherical symmetry. These two structures competefor the same vacuum modes, and their different geometries make the competition angle-dependent.The sharing fraction is f = TR /(TR + TH,eff ), where TR is the Unruh temperature and TH,eff is theeffective Hubble temperature projected onto the acceleration axis. The mode overlap between planarand spherical entanglement goes as cos2 θ; integrated over the backward hemisphere, this yieldsTH,eff = TH /6. The result is f (a) = a/(a + cH0 /6), a modified-inertia interpolation function witha0 = cH0 /6 = 1.09 × 10−10 m/s2 —9% from Milgrom’s empirical value, with zero free parameters.Tested against the SPARC Radial Acceleration Relation (2,693 data points, 153 galaxies), thisprediction achieves σ = 0.133 dex scatter, identical to fitted MOND (σ = 0.133 dex with a0 fittedto 1.2 × 10−10 ).

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Cite This Study

Keith Brodie (2026) studied this question.

synapsesocial.com/papers/6997fa80ad1d9b11b3453cf2https://doi.org/10.5281/zenodo.18677307
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