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docs: sofa × HN — combined stress test framing
The key insight: standalone they are insanely hard, together they either melt the model or reveal structure. This is better than 3-SAT because both components are unsolved — any result is novel. Combined: sofa navigates corridor (continuous) AND at each step, occupied positions form a valid unit-distance coloring (discrete). This is the matter→light move at its deepest.
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# Target: Moving Sofa × Hadwiger-Nelson as Octagon Test Case
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# Target: Moving Sofa × Hadwiger-Nelson — The Combined Stress Test
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**Status:** OPEN — next octagon data point after prime-Sidon negative
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**Status:** OPEN — the combined stress test for the octagon framework
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**Date:** 2026-07-03
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**Date:** 2026-07-03
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**Principle:** test the HARDEST unsolved problems combined, not easy ones
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## The Insight
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Standalone, each problem is insanely hard:
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- Moving sofa: continuous, nonlinear, unsolved since 1966
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- Hadwiger-Nelson: discrete, spectral, unsolved since 1950
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Combined, they either:
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1. **Melt the model** — the joint continuous+discrete constraint
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overwhelms the octagon framework. No spectral signature survives.
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The conservation law's residual (continuous constraint's info)
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dominates. This is a HARD BOUNDARY for the framework.
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2. **Reveal structure** — the HN's spectral structure ORGANIZES
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the sofa's continuous constraint into a joint spectral signature
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that neither problem exposes alone. The light (spectral) shapes
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the matter (continuous) into a detectable form. This would be
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a genuine discovery — a spectral shortcut on an unsolved problem.
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Either outcome is a result. That's why this beats 3-SAT as a test:
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3-SAT is known NP-complete (any answer just adds a data point).
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The sofa+HN combination is unsolved in BOTH components — any result
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(spectral shortcut OR model melt) is novel mathematics.
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## The Two Problems
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## The Two Problems
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@ -19,93 +43,105 @@
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- Unsolved: is the answer 5, 6, or 7?
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- Unsolved: is the answer 5, 6, or 7?
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- Structure: distance graphs, spectral graph theory, constraint propagation
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- Structure: distance graphs, spectral graph theory, constraint propagation
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## The Connection
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## The Combined Problem
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Both are **geometric constraint satisfaction** problems:
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The sofa must navigate the corridor (continuous geometric constraint)
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- Sofa: which shapes satisfy the corridor constraint?
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AND at each step of the motion, the occupied positions must form a
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- HN: which colorings satisfy the unit-distance constraint?
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valid unit-distance coloring (discrete spectral constraint).
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The reformulation: **the moving sofa AS a coloring problem.**
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This is the "matter → light" move at its deepest:
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- Sofa = matter (continuous, nonlinear, rigid-body geometry)
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- Coloring = light (discrete, spectral, unit-distance graph)
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- Combined = the octagon must embed BOTH into one matrix
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The corridor is a graph G (discretized). The sofa shape defines
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## Why the Combination Is Different
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admissible vertex subsets (positions the shape can simultaneously
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occupy). Maximum area = maximum-weight admissible subset = a
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constrained coloring. The "colors" are which positions are occupied
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by the sofa at each step of the motion.
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The Hadwiger-Nelson problem is the dual: which colorings of the
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Standalone sofa: no known spectral signature (continuous, nonlinear).
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plane are admissible under unit-distance constraints? The "sofa"
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Standalone HN: spectral signature exists (Hoffman: χ ≥ λ_max + 1).
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is the set of points sharing a color — it must "fit" (no two at
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Combined: does the HN spectral structure organize the sofa's
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unit distance).
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continuous constraint into a joint spectral signature?
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## Why This Is a Good Octagon Test Case
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The two problems span BOTH regimes of the "endian" framework:
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- Sofa = water/block regime (continuous field dynamics)
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- HN = big-endian regime (global invariants, spectral modes)
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- Combined = does the commuting diagram hold across regimes?
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| Property | Sofa-as-coloring | Hadwiger-Nelson |
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## The COUCH Gate Connection
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|---------|-------------------|------------------|
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| Nonlinear property | Shape fits corridor | Coloring is valid |
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| Linear embedding | Corridor adjacency matrix | Unit-distance graph |
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| Spectral signature? | UNKNOWN | Hoffman bound (χ ≥ λ_max+1) |
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| Complexity | Continuous optimization | NP-hard (de Grey graph) |
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| Solved? | No (open since 1966) | No (open since 1950) |
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The Hadwiger-Nelson problem ALREADY has a spectral signature
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The GCCL pipeline already contains this:
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(Hoffman bound: chromatic number ≥ max eigenvalue + 1). This is
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- COUCH_stable = the sofa is stable (can navigate)
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a KNOWN octagon success. The question: does the moving sofa
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- FYC_pass = the traversal is geometrically possible
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reformulation ALSO have one?
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- The "apartment constraint" = the corridor
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- The unit-distance constraint = the HN coloring
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## The Pipeline Connection
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The COUCH gate IS the combined problem. FYC rejects "impossible
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constrained-manifold traversal" = rejects sofas that can't make
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the turn. COUCH checks "pressure stability" = checks the coloring
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is valid at each step. The gate ALREADY encodes both constraints.
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The COUCH gate in GCCL.lean already references this:
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The experiment: can the spectral layer (QR/O-AMMR) detect whether
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- "apartment constraint" (x_i(t) ∈ Ω) = the sofa-in-corridor
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the COUCH gate would pass? If yes, the octagon works on the
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- COUCH_stable = pressure/hysteresis stability = shape stability
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combined problem. If no, the model melts.
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- FYC_pass = rejects impossible constrained-manifold traversal
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= rejects shapes that can't navigate the corner
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The moving sofa IS the FYC gate's mathematical content. FYC
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"rejects impossible constrained-manifold traversal" = "this sofa
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can't make the turn."
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## The Experiment
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## The Experiment
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1. Discretize the L-corridor into a graph (n vertices, unit-width)
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### Phase 1: Hadwiger-Nelson Hoffman Bound (quick, 2-4 hours)
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2. For each candidate sofa shape (Gerver, Hammersley, etc.):
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1. Obtain de Grey's 1581-vertex 5-chromatic unit-distance graph
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- Compute the admissible vertex subset (where the shape fits)
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- Build the constraint matrix (which positions conflict)
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- Compute eigenvalue spectrum
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3. Check: does the spectrum distinguish:
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- Admissible shapes (fit) from inadmissible (don't fit)?
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- Gerver's sofa (area 2.2195) from smaller shapes?
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- The optimal shape from suboptimal ones?
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4. If YES → the sofa problem has a spectral signature → octagon works
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If NO → geometric optimization doesn't have spectral detection
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→ another boundary point for the octagon
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## The Hadwiger-Nelson Dual
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For HN, the test is simpler (already has spectral structure):
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1. Build de Grey's 5-chromatic unit-distance graph (1581 vertices)
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2. Compute adjacency spectrum
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2. Compute adjacency spectrum
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3. Hoffman bound: χ ≥ λ_max + 1
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3. Hoffman bound: χ ≥ λ_max + 1
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4. Does λ_max + 1 = 5? (If yes, the spectrum is tight for HN)
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4. Is the bound tight (= 5)? Or loose (< 5)?
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5. If the bound is loose (λ_max + 1 < 5), the spectrum
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5. This establishes the spectral strength of the discrete component
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underestimates — the octagon partially works but isn't tight
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### Phase 2: Moving Sofa Discretization (4-8 hours)
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1. Discretize the L-corridor into a graph (n vertices)
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2. For known sofa shapes (Gerver, Hammersley, half-disc):
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- Compute admissible vertex subsets (where the shape fits)
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- Build the constraint matrix
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- Compute eigenvalue spectrum
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3. Does the spectrum distinguish admissible from inadmissible shapes?
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4. This establishes the spectral strength of the continuous component
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### Phase 3: The Combined Test (4-8 hours)
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1. Build the JOINT constraint matrix:
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- Corridor connectivity (sofa constraint)
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- Unit-distance coloring (HN constraint)
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2. The joint matrix encodes BOTH constraints simultaneously
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3. Compute the joint spectrum
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4. Does the joint spectrum predict:
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- Whether a shape can navigate AND color validly?
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- The maximum area of a valid shape?
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5. If YES → structure revealed (octagon works on combined problem)
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If NO → model melted (octagon has a boundary)
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## What "Melts" Means
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If the model melts, it means:
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- The continuous constraint's information (sofa geometry) is the
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irreducible residual
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- The spectral structure (HN coloring) can't organize it
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- The conservation law holds: joint_invariant ≥ K(sofa) + K(coloring)
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- The octagon can't embed both constraints in one matrix at O(n) dimension
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- This is a HARD BOUNDARY, not a failure — it tells us WHERE the
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framework stops working
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## What "Reveals" Means
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If structure is revealed, it means:
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- The HN spectral signature INTERACTS with the sofa constraint
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- The joint spectrum has a signature that neither component has alone
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- The light (spectral) organizes the matter (continuous) into a
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detectable form
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- The octagon works on a harder problem than any individual test
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- This would be a genuine mathematical discovery
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## Priority
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## Priority
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This is a BETTER test case than 3-SAT because:
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This is the HIGHEST priority test case because:
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- The moving sofa is UNSOLVED (unlike 3-SAT, where we know the
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1. Both problems are unsolved (any result is novel)
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answer is NP-complete) — a spectral shortcut would be a real result
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2. The combination spans the matter/light regimes (the framework's
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- Hadwiger-Nelson ALREADY has spectral structure (Hoffman bound) —
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core test)
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we can measure how tight it is
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3. The COUCH gate already encodes the combined problem
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- The COUCH gate in the pipeline already references this problem
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4. The result either extends the framework or finds its boundary
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- It's geometric (different from combinatorial/number-theoretic/structural)
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5. No GPU needed — pure numpy eigenvalue computation
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- It connects continuous (sofa) and discrete (coloring) regimes
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6. Different problem class (geometric optimization) from all
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→ the "matter → light" move is natural here
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previous tests (combinatorial, number-theoretic, structural)
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## Estimated Effort
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- Moving sofa: 4-8 hours (discretize corridor, build matrices,
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compute spectra for known sofa shapes)
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- Hadwiger-Nelson: 2-4 hours (de Grey graph is publicly available,
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just compute spectrum and Hoffman bound)
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- Total: 6-12 hours of Python + numpy
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