This repository contains the source of the Fibre Erasure Cosmochrony paper Projective Information Loss and Fibre Erasure in Admissible Non-Injective Projection.
This work establishes a fibre-erasure theorem for the admissible coarse-graining hierarchy of the Cosmochrony spectral programme.
The non-injective projection
Conditional on the structural sufficiency hypothesis [H-suff], the
data-processing inequality implies that
Fibre information is erased, not created, under admissible coarse-graining.
[H-suff] is proved at the level of the BFS rank observable
(Proposition 3.6, label-blindness from Schur's lemma) and numerically
supported at the full Born--Infeld capacity level for
The fibre-erasure theorem (Theorem 4.1) states: under [H-suff] and [H-sg]
(semigroup property, redundant at the rank level), for any
The inter-sector variance
This paper connects the qualitative ENI no-go theorem with the
quantitative spectral convergence observed numerically across
-
ENI establishes
$S_\Pi > 0$ but does not order information loss across resolutions. -
Fibre Erasure introduces the coarse-graining axis
$\ell$ and turns ENI into a monotone, measurable hierarchy via the data-processing inequality.
Three orthogonal axes are disambiguated:
| Axis | Parameter | Role |
|---|---|---|
| Coarse-graining / resolution |
|
this paper, carries |
| Thermodynamic / continuum | limit for the universal profile |
|
| Temporal / cascade |
|
projective time, handled by PTO |
This result is not a
Conditional on [H-suff] and [H-sg]:
- a monotone information functional
$I(c;\sigma(\ell))$ for the BFS coarse-graining hierarchy; - its non-increase under depth-increment, via the data-processing inequality;
- the identification of
$I(c;\sigma(\ell)) = 0$ as the fibre-erasure equilibrium condition (Corollary 4.4).
- a
$c$ -theorem or analogue (open problem [O-2]); - the full capacity-level form of [H-suff] (proved at the rank level; pointwise Born--Infeld residue open as [O-1a$'$]);
- the full capacity-level form of [H-sg] (proved at the rank level and there redundant; capacity-level residue open as [O-1b]).
Fibre Erasure occupies a hub position between the foundational papers and the spectral admissibility programme:
- inputs: ENI (non-injective projection, projection entropy
$S_\Pi$ ) and Foundation (Weil-fibre realisation); - inputs: spectral programme (BFS capacity profiles
$\sigma_c(\ell)$ , numerical campaigns, [H-color] hypothesis); - output: information-theoretic monotone connecting them.
Together with the PTO paper (which handles the orthogonal temporal
axis
bash compile.shOutput: out/FibreErasure.pdf.
Non-injective projection; fibre erasure; admissible coarse-graining; data-processing inequality; information monotone; BFS capacity; spectral admissibility; projective information loss; Weil representation; Heisenberg group; [H-color].
If you reference this work, please cite:
J. Beau, Projective Information Loss and Fibre Erasure in Admissible Non-Injective Projection, Zenodo, 2026.
Portions of the formal development, numerical validation, and editorial refinement benefited from iterative interactions with large language models, used as analytical assistants for testing internal consistency and exploring alternative formulations. All theoretical results and interpretations remain the sole responsibility of the author.
This repository is intended as a research reference. Critical feedback, mathematical scrutiny, and independent analyses are welcome. Please open an issue to discuss conceptual points or technical details.