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May 31, 20260 citationsOpen Access

Flow-Time Theory v6: Self-Consistent Field Theory of Entropy and Gravity

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DTDaniel Tang

Key Points

  • This work aims to address open problems from previous versions of Flow-Time Theory by deriving key parameters from first principles.
  • Derived the exponent p = 3/2 and the gravitational modulation function f(r) from first principles.
  • Introduced a new approach to measure the local cosmological curvature parameter R from GPS data.
  • Closed the gap on macroscopic time emergence from quantum decoherence.
  • Established that R = 0.617 is a measured parameter derived from GPS metrics.
  • Showed that the model requires no free parameters other than R.
  • Provided empirical support for the information-field ontology of FTT with a Cohen's d > 0.8 (p < 0.001).

Abstract

Flow-Time Theory v6: Self-Consistent Field Theory of Entropy and Gravity FTT v5 established a unified phenomenological framework from GPS to black holes, introducing the gravitational modulation function f (r) = (1 - rₛ/r) / (1 - γ rₛ/r) with γ ≈ 0. 62, and the local cosmological curvature parameter R = 0. 617 from GPS data. However, v5 left three open problems: (1) the exponent p = 3/2 in ∂ₜΦ ∝ A (r) ᵖ was selected by data rather than derived; (2) f (r) was constructed rather than solved from the field equation; (3) R was treated as a free parameter fitted to GPS data. This version (v6) closes these three gaps: (1) and (2) from first principles; (3) by recognizing R as a measured parameter. Starting from the Φ field action in Schwarzschild spacetime, we derive p = 3/2 from horizon regularity and the field equation, yielding D = 9ℓPl². We then solve for f (r) from the radial equation with the source term (2φg/c²) ∇²Φ₀, which emerges naturally from the linearized field equation. We show that R is a measured parameter (from GPS, v5) and that FTT requires no other free parameters. Furthermore, v6 provides a complete derivation of the emergence of macroscopic time from quantum decoherence via the self-environment of Φ field fluctuations, closing the "two times" gap left open in previous versions. The theory is now self-consistent, with all parameters except R derived from first principles. The value R = 0. 617 is taken from GPS measurement (v5). The remaining predictions (U-axis direction, P1-U experiment, variation of R with position) are left for experimental test. P5 information retrieval (reported in v3, Cohen's d > 0. 8, p < 0. 001) provides direct empirical support for the information-field ontology of FTT, consistent with the Φ field encoding complete worldline information at temporal anchors. The gravitational entropy dynamics in v6 and the information encoding in P5 are two facets of the same underlying field: Φ.

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Cite This Study

Daniel Tang (2026) studied this question.

synapsesocial.com/papers/6a1bd2845783ba022b6fe025https://doi.org/10.5281/zenodo.20448235
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Flow-Time Theory v7.0: Self-Consistent Field Theory of Entropy and Gravity2026
  2. 2Flow-Time Theory: Self-Consistent Field Theory of Entropy and Gravity - Version 6.12026
  3. 3Flow-Time Theory v5.0: From GPS to Black Holes — Gravitational Modulation of the Entropy Gradient2026
  4. 4Flow-Time Theory: A Phenomenological Scalar Field Theory of Entropy with a Directional Experimental Prediction2025
  5. 5Flow-Time Theory: A Fundamental Scalar Field Theory of Entropy Version 2.0 — From Entropy Field Theory to Information Field Theory: Time as Fundamental Entity Field, Information Encoding, Frequency Decoding, and Cross-Layer Communication2026