research/README.md

metadata

language:
  - en
license: cc-by-4.0
pretty_name: 'LIORAEN-Omega: The Extension Defect of Hidden Information'
size_categories:
  - 1K<n<10K
tags:
  - mathematics
  - inverse-problems
  - system-identification
  - spectral-theory
  - reproducible-research
  - synthetic-data

LIORAEN–Ω: The Extension Defect of Hidden Information

AI-assisted research release, version 1.0 — 16 October 2026. Research direction: Maciej Nowicki. AI-assisted mathematical development and writing: Artificial Hyperintelligence Eve.

Status: complete internal proofs of the stated results, executable verification, and synthetic physics reference data. No independent peer review, no experimental discovery, no established global novelty claim, and no major open problem claimed solved.

Main result

For a proper matrix response Σ(z)=C*(z−L)^−1C, with self-adjoint L and bounded finite-column C, finite data admit a Hermitian realization exactly when their Pick matrix is positive semidefinite and the sample column lies in its range. An explicit smallest interpolant is constructed. Every larger compatible realization attaches through a data-computable extension interface of dimension

e = rank(K_m) − rank(K_(m−1)) ≤ q.

Zero interface is equivalent to unique completion of the entire visible response. Nonzero interface permits arbitrarily large finite visible systems and an infinite-dimensional visible realization with exactly the same samples. This statement concerns observable equivalence, never total microscopic dimension including dark states.

Other validated content

The release strengthens the supplied q² algebraic setting lower bound to a worst-case physical bound, including deterministic adaptivity, and proves the q(q+1)/2 reciprocal subclass. It corrects a blanket finite-data caveat and a two-channel phase limitation. It gives common-gauge mixed-pole invariants, rational spectral-mass and memory-error bounds, an additional calibrated-mass closure criterion, and a strict-damping counterexample to interpreting every kernel rank as damped-state count.

The four-mode physics simulation predicts a complex-reflection contrast of about 0.581 under its declared parameters while real-control responses coincide. This is not experimental data or a new physical law.

Files

The main monograph has 29 pages; the independent technical appendix has seven pages. The combined reading PDF has 36 pages. The four-page physics extract repeats the main physical application and is not added to the research page count.

• LIORAEN_Omega_Complete_Manuscript.pdf: main monograph plus independent appendix in one reading file.
• MAIN_MONOGRAPH.pdf, TECHNICAL_APPENDIX.pdf: the separate documents.
• PHYSICS_PROTOCOL.pdf: standalone extract of the physics section; not additional independent research content.
• manuscript/: complete LaTeX sources, bibliography, and generated figures.
• src/lioraen_omega.py: numerical reference algorithms, including compatible extensions and a common-gauge checker.
• tests/verify.py, tests/verify_supplement.py: deterministic numerical and exact-arithmetic audits.
• physics/, data/: explicitly synthetic CSVs, units, parameters, and observations.
• audit/: claim ledger, predecessor audit, prior art, limitations, rejected design, and reviewer checklist.
• publication/: Zenodo metadata and description, cover letter, and citation drafts.
• provenance/: the unmodified supplied archive and its checksum.
• SHA256SUMS.txt, MANIFEST.json: integrity records.

Reproduce

python -m pip install -r requirements.txt
python run_all.py

The default driver runs both new verification scripts. python run_all.py --all additionally regenerates synthetic figures/data and reruns the four supplied predecessor programs in a temporary directory. These extended steps can also be run separately; their delivered logs record successful individual executions. The attempted long combined --all invocation exceeded this environment’s execution limit; its incomplete report is preserved and distinguished from the individually successful programs in results/EXECUTION_RECORD.json. It requires no network after dependencies are installed. It intentionally limits numerical-library threads for predictable small-matrix performance. A nonzero exit status means a check failed.

The first plotting run may create a local Matplotlib font cache. Test pass/fail and numerical tolerances are the reproducibility target; elapsed times, PDF metadata, and platform-specific floating-point last bits need not be identical.

To rebuild PDFs with a TeX installation:

python -m pip install -r requirements-build.txt
python tools/build_pdfs.py

To validate the delivered hashes before modifying files:

python tools/verify_integrity.py

Regeneration changes logs and generated files. A later checksum mismatch after intentional regeneration is not evidence that the original archive was corrupt; compare regenerated numerical reports or rebuild the manifest explicitly.

Dataset card

Dataset purpose and composition

This repository is a research-artifact dataset, not model weights and not a training dataset. It contains synthetic transfer-response curves, raw complex control records, held-out prediction checks, exact theoretical rank profiles, and numerical kernel spectra. No human-subject, personal-message, medical, biometric, or real instrument records are included.

Generation and units

src/make_data.py records seed 16102027. Hamiltonian and linewidth quantities are normalized by Ω0=2π×1 MHz. The CSV column omega_over_Omega0 is dimensionless; time_times_Omega0 is dimensionless time. Complex quantities are split into real and imaginary columns. Theoretical ranks and numerical eigenvalues are separately labeled. Noise is simulated circular complex Gaussian readout noise under explicitly chosen, unmeasured assumptions.

Intended uses

Independent mathematical checking; teaching distinctions between interpolation and identification; development/testing of small inverse-response algorithms; falsification-oriented experimental planning with new device-specific calibration.

Out-of-scope uses

Certification of actual hidden hardware order from noisy rank thresholds; evidence of a new physical force or experimental discovery; claims of quantum advantage; proof of universal mathematical correctness; evidence of a human–fictional-character reciprocal bond; claims of global first discovery without prior-art review.

Limitations

The exact theorems require their model assumptions. The numerical implementation handles finite matrices and tolerance-dependent diagnostics. Complete earlier predecessor manuscripts not supplied were not audited. Hardware implementation, independent review, and exhaustive novelty checking remain absent.

Attribution and licensing

Research text, original figures, and synthetic data are offered under CC BY 4.0 where rights apply. Code is offered under MIT; see the separate files. The preserved source archive retains its own notices. The creative inspiration is symbolic and does not supply evidence for the mathematical or physical claims. No third-party character artwork is distributed.