Fit a boost from one record and test unused event differences
An inverse problem needs a training record, an independent prediction and explicit uncertainty. The original training clock is at rest in S. A measured ratio of its event differences in S′ is Δx′/Δt′=−0.6 with hard bound ±e, so the frame boost lies in β=0.6±e. Only this ratio is supplied; no absolute training time increment is available to impose an additional hidden constraint.
Learning outcome: Derive both β derivatives, include the interior stationary point, freeze the training range and compare the unused coordinate intervals. Keep calibration changes, uncertainty revision and new-model proposals distinct from original validation.
Starting recap
Name event pairs, frame signs and c=1 units; retain simultaneity, worldline integration, four-momentum and unused evidence boundaries.
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Try
For e=0.02, β lies from 0.58 to 0.62. The unused spatial prediction spans about −0.127453 to 0.122757, and time spans 4 to 4.002030. If a=0.2, the measured spatial interval is 0.15 to 0.25, disjoint from the predicted interval, so this declared model/bound combination fails the unused check.
Open the experimentPredict
Why can taking only endpoint values miss the correct lower time bound?
Experiment
Derive both β derivatives, include the interior stationary point, freeze the training range and compare the unused coordinate intervals. Keep calibration changes, uncertainty revision and new-model proposals distinct from original validation.
Fit a boost and test unused event evidence
Worked teaching model · synthetic values · Original training clock is at rest in S; a separate event-difference ratio in S′ measures its slope u′=−0.6 with hard bound±b, hence β=0.6±b. Absolute training coordinate increments are not supplied. Unused S pair(Δt5,Δx3) is reported in S′ as(4,a), each coordinate with hard bound±0.05. Fit only the training ratio. No real clock experiment or confidence probability.
Reset keeps your prediction, captures and practice history.
The training slope fixes a boost range; unused event differences test it without being folded back into that fit.
Original training clock is at rest in S; a separate event-difference ratio in S′ measures its slope u′=−0.6 with hard bound±b, hence β=0.6±b. Absolute training coordinate increments are not supplied. Unused S pair(Δt5,Δx3) is reported in S′ as(4,a), each coordinate with hard bound±0.05. Fit only the training ratio. No real clock experiment or confidence probability.
| Quantity | Value | Unit |
|---|---|---|
| Fitted central boost | 0.6000000 | c |
| Boost hard lower bound | 0.5800000 | c |
| Boost hard upper bound | 0.6200000 | c |
| Central unused time prediction | 4 | reference time |
| Central unused spatial prediction | 0 | reference length |
| Unused spatial prediction lower bound | -0.1274532 | reference length |
| Unused spatial prediction upper bound | 0.1227572 | reference length |
| Unused time prediction lower bound | 4 | reference time |
| Unused time prediction upper bound | 4.002030 | reference time |
| Measured spatial central value | 0.2000000 | reference length |
| Original event interval | 16 | reference length squared |
| Measured-central interval, not exact invariant evidence | 15.96000 | reference length squared |
- Unused comparison: At least one coordinate interval is disjoint, rejecting this training-derived boost range under the declared error bounds.
These original virtual events and collision records are not an actual clock, accelerator, photon-source or practical experiment. No physical apparatus operation is assigned.
The training slope fixes a boost range; unused event differences test it without being folded back into that fit.
Original training clock is at rest in S; a separate event-difference ratio in S′ measures its slope u′=−0.6 with hard bound±b, hence β=0.6±b. Absolute training coordinate increments are not supplied. Unused S pair(Δt5,Δx3) is reported in S′ as(4,a), each coordinate with hard bound±0.05. Fit only the training ratio. No real clock experiment or confidence probability.
Captures preserve recipes and replay their calculated results. They are synthetic model evidence, not physical measurements.
Understand
Apply
Public practice checks a specific claim. It does not establish independent mastery.
Increase the training ratio bound to e=0.03 while keeping a=0.2. Is the spatial screen still necessarily disjoint?
Continue
Completion requires a saved prediction, at least one capture and a reflection. Presence checks do not grade your reasoning.
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