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November 1, 20250 citationsOpen Access

Guaranteed Tensor Luminality from Symmetry: A PT-Even Palatini Torsion Framework

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CCChien-Chih Chen

Key Points

  • Guaranteed exact luminality achieved through a symmetry-selected framework of torsion in modified gravity.
  • Analysis shows unique structural ingredients, like the scalar PT projector, uphold real and parity-even nature.
  • Developed framework demonstrates coefficient-locking identity enforcing tensor mode consistency with c_T = 1 across domains.
  • Distinctive predictions about next-to-leading corrections in gravitational-wave speed provide falsifiable insights for future observations.

Abstract

Multimessenger observations bound the gravitational-wave speed to be luminal, imposing a strong filter on modified gravity. We develop a symmetry-selected Palatini framework with torsion in which exact luminality at quadratic order is guaranteed by construction rather than by parameter tuning. Two structural ingredients govern the observable sector: (i) a scalar PT projector that keeps scalar densities real and parity-even; and (ii) projective invariance enforced via a nondynamical Stueckelberg compensator that enters only through its gradient. Under explicit assumptions (A1–A6) we establish: (C1) algebraic uniqueness of torsion to a pure-trace form aligned with the compensator gradient; (C2) bulk equivalence, up to improvements, among a rank-one determinant route, a closed-metric deformation, and a PT-even CS/Nieh–Yan route; and (C3) a coefficient-locking identity that enforces K = G for tensor modes on admissible domains, hence cT = 1 with two propagating polarizations. Beyond leading order, the framework predicts a distinctive, falsifiable next-to-leading correction δcT² (k) = b k²/Λ² (for k ≪ Λ), implying slope ≈ 2 in log–log fits across frequency bands (PTA/LISA/LVK). The analysis is fully reproducible, with a public repository providing figure generators, coefficients, and tests that directly validate (C1) – (C3).

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Cite This Study

Chien-Chih Chen (2025) studied this question.

synapsesocial.com/papers/69054ffa1a99e50463de68c4https://doi.org/10.20944/preprints202509.2421.v3
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