Projective Memory and Resonant Bottlenecks in Passive Spectral Routing
At distinct boundary frequencies, let a square rational-inner multiport route one fixed input ray to prescribed output rays. We prove that the minimum McMillan degree equals the least degree of a base-point-free projective curve through the ordered target rays, independently of ambient port count. For orthogonal target bands we solve line-to-subspace incidence constraints by full-support Lagrange kernels and derive a closed generic codimension law. Exact memory is the maximum shifted band cost, whereas border memory is the minimum and may be arbitrarily smaller. An intrinsic incidence matrix gives a calibrated singular-value error floor, a determinantal zero-error closure, and an all-data base-point deletion law with an incremental exact certificate. Finally, every zero-error sequence below exact memory has divergent peak dimensionless Wigner-Smith delay; any finite delay cap restores compactness, a positive attained error, and a three-phase operational classification. Explicit planar strata and exact rational certificates audit the results.
Verification record
- Frontier-model screening
- Not assessed
- Source integrity
- Pass
- Bibliographic integrity
- Not assessed
- Reproducibility
- Partial
- Lean 4
- Not applicable
Recorded under ARR-VERIFY-1.0. ARR verification and screening are not peer review.
Version history
The ARR identifier remains stable. Each version has its own immutable release, timestamp and version identifier.
- v1 · source snapshot available · viewing
AI assistance statement
OpenAI Codex assisted with mathematical drafting, literature organization, exact-certificate preparation, release assembly, visual inspection, and replay/integrity checks. The author reviewed the claims, proofs, references, and final artifacts and accepts responsibility for this version. No independent AI scientific assessment is claimed.
Frontier-model screening
Status: not_assessed. Any listed reports correspond to this exact version under ARR-SCREEN-1.0; no absent assessment is represented as a pass.
Independent model assessments
No eligible independent ARR-ASSESS-1.0 report is published for this exact version. Missing evidence is not scored as zero.
No model reports are published for this version.
A model assessment is not peer review or a correctness certificate. ARR preserves disagreement, exact-version provenance and later reassessments.
Editorial disclosure
Founder-owned pilot record: Lluis Eriksson is both the author and ARR's current founder-editor. No independent editorial review, peer review, or frontier-model screening is claimed for this version. Acceptance records a technically valid deposit, not a finding that the paper is correct.