This repository contains the source of the paper Temporal Residual Map from the Completed Principal Symbol: Construction, Uniqueness, and the Lorentz Identification (TempProj of the Lorentz Capacity sub-programme).
The companion paper LorentzCapacity (Beau2026n) identifies the construction of a temporal
residual map
The present paper carries out this construction and proves the map is the unique positive function compatible with three inputs simultaneously:
-
(L) Lorentzian splitting — the Q5b completed co-metric
$g^{\mu\nu} = 2\eta^{\mu\nu}$ determines a unique timelike direction$\partial_\tau$ . -
(BI) Born-Infeld capacity sphere — the admissible capacity flow vector
$\vec{F}_n$ lies on the unit sphere$(F_n^\tau)^2 + |\vec{F}_n^{\mathrm{spat}}|^2 = 1$ . -
(W) Weil filling law —
$\Sigma_n^{\mathrm{tot}} = 1 - B_n$ exactly.
Consequently:
The three inputs are individually necessary: removing any one leaves the formula undetermined. This explains retroactively the numerical failure of all three candidates tested in LorentzCapacity.
- Main theorem (uniqueness + explicit formula): proved (conditional on [U])
- Lorentz factor corollary: proved (conditional on [U])
- Three-input necessity (Proposition~\ref{prop:failure}): proved
LorCap → TempProj → LCII
TempProj closes the open problem of LorCap. LCII (Beau2026lco2) extends the result
to non-homogeneous regimes (gravitational time dilation).
| Paper | Role |
|---|---|
LorCap (Beau2026n) |
Origin of the open problem |
Q5b (Beau2026q5b) |
Effective operator and co-metric |
Q11 (Beau2026q11) |
|
Q10 (Beau2026q10) |
|
Q8 (BeauQ8) |
|
U1 (Beau2026u1) |
Proves hypothesis [U] |
O7 (Beau2026a11) |
Defines |
BI (Beau2026c) |
Born-Infeld admissibility budget |
PTO (Beau2026pto) |
Projective temporal ordering (structural context) |
temporal-projection/
├── out/ # Compiled PDF
├── tex/
│ ├── temporal-projection.tex
│ └── cosmochrony-bibliography.bib
├── compile.sh
├── zenodo.json
└── README.md
J. Beau, Temporal Residual Map from the Completed Principal Symbol: Construction, Uniqueness, and the Lorentz Identification, Preprint, 2026.
Portions of the editorial refinement benefited from iterative interactions with large language models used as analytical assistants. All claims, interpretations, and final formulations remain the sole responsibility of the author.