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Special Relativity in Financial Modeling 1.0.0
Lorentz transforms, spacetime classification, and geodesic price paths for quantitative finance
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Minkowski spacetime manifold tracker — interval and regime classifier. More...
Go to the source code of this file.
Classes | |
| struct | srfm::stream::ManifoldResult |
| Result of a single manifold update — interval, regime, and signal. More... | |
| class | srfm::stream::SpacetimeManifold |
| Minkowski interval computer for sequential Lorentz-boosted events. More... | |
Namespaces | |
| namespace | srfm |
| namespace | srfm::stream |
Minkowski spacetime manifold tracker — interval and regime classifier.
Module: include/srfm/stream/ Owner: AGT-10 (Builder) — 2026-03-01
Maintain a running record of Lorentz-transformed tick coordinates and compute the Minkowski spacetime interval between consecutive events:
Δs² = Δt'² − Δx'² (c = 1 in normalised units)
Classify the interval into a Regime (TIMELIKE / LIGHTLIKE / SPACELIKE) and use it to modulate the relativistic signal strength.
Δs² > +ε → TIMELIKE — causally connected; signal is amplified by Δs. Δs² < −ε → SPACELIKE — acausally separated; signal is attenuated. |Δs²| ≤ ε → LIGHTLIKE — on the light cone; signal passes through unscaled.
The output signal field is: TIMELIKE : +√|Δs²| SPACELIKE : −√|Δs²| LIGHTLIKE : 0.0
• O(1) per tick: stores only the previous transformed event. • noexcept: all methods are noexcept. • Safe first tick: returns LIGHTLIKE / 0.0 when no previous event exists. • Finite: output signal is always finite for finite Lorentz inputs.
• Computing (t', x') (LorentzTransform) • Scaling by γ·m_eff (SignalProcessor combines all stages) • Persistence (in-memory state only)
Definition in file spacetime_manifold.hpp.