Causal Membrane Dynamics and the 3.3% Overflow: Cyclic Moment Accumulation, Trigonometric Derivation of the 0.2791 Force Metric, and Monte Carlo Validation

This submission extends the UAT/UCP framework from static equilibrium to dynamic membrane behavior. The cyclic moment equation 𝑀𝑝=∮Ψ8phase⋅𝜅crit/1−(𝑣/𝑐)2 𝑑𝑡M p=∮Ψ 8phase⋅κ crit/ 1−(v/c) 2 dt is introduced and numerically evaluated, revealing that the causal membrane operates on a truncated cycle of 348.24∘348.24 ∘ rather than the classical 360∘360 ∘ . Key findings: Causal overflow: The 11.76∘11.76 ∘ deficit (3.3%=1−𝑘early 3.3%=1−k early) is the energy fraction expended per cycle to sustain cosmic expansion against gravitational collapse. When doubled by the quadratic scaling of the vacuum potential, it yields the 6.6%≈7%6.6%≈7% thermal calibration margin. Trigonometric derivation of 0.2791: The force metric 𝑅 geom=sin⁡(8×43.530∘/2)/sin⁡(43.530∘/2)=0.279182 R geom=sin(8×43.530 ∘/2)/sin(43.530 ∘/2)=0.279182 is derived from the 8-phasor sum with non-Euclidean step Δ𝜃=45∘×𝑘early=43.530∘Δθ=45 ∘×k early=43.530∘ . The derivation requires no free parameters beyond 𝑘early=0.967k early=0.967. Distinction of three related values: The causal overflow (0.03270.0327), the per-step overflow (0.2700.270), and the force metric (0.27910.2791) are formally distinguished. The 3.4%3.4% difference between 0.2700.270 and 0.27910.2791 is shown to arise from collective phase coherence in the 8-phasor sum. Monte Carlo validation: A 10,00010,000-iteration simulation rejects the null hypothesis that 0.27910.2791 arises from thermal noise (𝑝3.3𝜎>3.3σ). Numerical integration: 𝑀𝑝(UAT)≈5.16×10−81M p(UAT)≈5.16×10 −81, 𝑀𝑝(Classical)≈2.03×10−81M p(Classical) ≈2.03×10 −81, ratio ≈2.54≈2.54. The temporal difference of 176,122176,122 ns per cycle at 𝑓base=187.37f base=187.37 Hz corresponds exactly to 1−𝑘early1−k early . The causal overflow constant 𝜀frac=0.0327ε frac=0.0327 is proposed as a new fundamental parameter governing the rate at which the universe expends energy to maintain its expansion. The package includes the theoretical manuscript (LaTeX) and three Python scripts that reproduce all numerical results.