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ExampleConstruction: AI-generatedVerification: AI-generatedPipeline-generatedverified 2026-10-15 (gpt-6-luna, gpt-6.1-sol, and delegated Codex review/repair agents; see completed run evidence)
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Ideal-clock readings for a flat reunion path

Physical scope

Conditional ideal-clock calculation for two specified piecewise-inertial flat worldlines that reunite; it is a model prediction, not an experimental report.

Example

Choose an inertial frame (o;e0,e1,e2,e3) and its inertial chart χ from Inertial frames and inertial charts of the affine Minkowski model, with coordinates (x0,x1,x2,x3)=(ct,x,y,z). Use the flat specialization of the prescribed background: M=A with its affine smooth structure, g the metric induced by η on tangent vectors, and N=e0 the constant future time-axis field. Thus gab=diag⁡(−1,1,1,1) in χ. Let T>0 seconds and 0<v<c. A lab clock has chart path χ∘xL(t)=(ct,0,0,0) for 0≤t≤2T. A traveler has chart path χ∘xR(t)=(ct,vt,0,0) on [0,T] and χ∘xR(t)=(ct,v(2T−t),0,0) on [T,2T]. The traveler reverses direction at t=T and reunites with the lab at t=2T.

Facts & Assumptions

Given: The paths above, T>0, 0<v<c, and the ideal-clock adoption of Ideal clocks on a prescribed Lorentzian background.

[F1]

On a future timelike path, the adopted ideal-clock reading is dτ=c−1−g(T,T) ds (Ideal clocks on a prescribed Lorentzian background).

[F2]

For a piecewise-C1 future timelike worldline, proper-time increments are defined as the sum of the integrals over its pieces (Timelike worldlines, proper time, length and four-velocity on a Lorentzian four-manifold).

Verification

1.1givenF1algebra

For the lab, dx0/dt=c and dx/dt=0, so −g(dx/dt,dx/dt)=c2 and the clock density is 1. Its elapsed reading is therefore ΔτL=2T.

2.1givenF1F2algebra∎

On either traveler leg, dx0/dt=c and ∣dx/dt∣=v, so −g(dx/dt,dx/dt)=c2−v2>0. The density is the constant 1−v2/c2 on both legs. Additivity across the single corner follows from the piecewise definition [F2], giving ΔτR=2T1−v2/c2<2T=ΔτL. This is a deduction from the ideal-clock model and specified paths, not a measured result.

Depends on

Dependency tree · 2 levels

Sources