Research paperAcceptedARR-2026-6M3VGTXZ6W8JW9C9 · v1 · 2026-08-14

Projective Memory and Resonant Bottlenecks in Passive Spectral Routing

Lluis Eriksson

Abstract

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.

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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.

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    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.