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docs: reconcile linearity — linear tool on linear problem works
Attack 5 said 'coherence is linear only, wrong for Sidon.' SLOS analysis said 'spectrum works for SLOS.' Both correct — different objects: - Sidon SET = nonlinear (pairwise sums) → linear tool fails - SLOS CIRCUIT = linear (unitary) → linear tool works Principle: tool must match problem structure. Linear problem → linear tool (spectrum) → works. Nonlinear problem → nonlinear tool (is_sidon) → needed. Conservation law final form: - Linear systems: spectrum = full info (zero residual) → shortcut works - Nonlinear systems: spectrum + interactions = full info → residual irreducible Problem-specific admissibility confirmed: no universal check. Each problem needs its own tool matching its structure.
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@ -391,3 +391,60 @@ of the optical system. The conservation law says you can't reduce
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information. But for linear systems, the information IS already in the
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spectrum — you just need to compute the right function of it (the
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eigenvalue products, not just one column).
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## Reconciliation: Linear Tool on Linear Problem vs Linear Tool on Nonlinear Problem
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### The Apparent Contradiction
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Attack 5: "Coherence (Pearson) is linear only — wrong for Sidon sets"
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SLOS analysis: "Eigenvalue spectrum works for SLOS circuits"
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Both are correct. They talk about different objects:
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| Object | Structure | Linear tool works? | Why |
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|--------|-----------|-------------------|-----|
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| Sidon set | Nonlinear (pairwise sums) | NO | Pearson can't detect quadratic structure |
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| SLOS circuit | Linear (unitary matrix) | YES | U^(⊗m) determined by U's spectrum |
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### The Principle
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The tool must match the problem's structure:
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- Linear problem → linear tool (spectrum, QR) → works
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- Nonlinear problem → nonlinear tool (is_sidon, permanent) → needed
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- Universal linear tool on nonlinear problem → fails
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- Universal nonlinear tool on linear problem → overkill
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### Why the Coherence Gate Died (Attack 5)
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The coherence gate (Pearson correlation) tried to be a UNIVERSAL
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admissibility check. It's linear. Sidon structure is nonlinear
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(pairwise sums = quadratic). Linear tool on nonlinear problem = fail.
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### Why the SLOS Shortcut Works
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SLOS is linear optical. The circuit IS a unitary matrix. U^(⊗m) is
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determined by U's spectrum. The eigenvalue spectrum is a LINEAR tool
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on a LINEAR problem. It works.
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### The Conservation Law (Final Form)
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For LINEAR systems: spectrum = full information (zero residual)
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→ shortcut works (compute spectrum, skip full simulation)
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→ the cost is computational (M_n is large), not information-theoretic
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For NONLINEAR systems: spectrum + interactions = full information
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→ interactions are irreducible residual
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→ shortcut fails (must compute the full simulation)
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→ the cost IS information-theoretic (interactions create new info)
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### Problem-Specific Admissibility (Confirmed)
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Each problem needs its own admissibility check matching its structure:
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- SLOS (linear): eigenvalue product distribution
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- Sidon (nonlinear): is_sidon() integer check
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- cmix weights (linear): SVD singular values
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- Unit-distance (nonlinear): count_unit_distances()
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No universal check. The ManifoldShortcut framework's "problem-specific
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admissibility" (from the 5-way attack refinement) is confirmed by
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this linearity analysis.
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