{ "test_info": { "timestamp": "2026-05-07T04:29:36.759048", "k_values": [ 1, 2, 4, 8, 16, 32 ], "matrix_order_formula": "n = 4k", "construction": "Sylvester (powers of 2)", "total_tests": 6 }, "results": [ { "k": 1, "n": 4, "hadamard_exists": true, "spectral": { "eigenvalues": [ 2.0, 2.0, -2.0, -2.0 ], "spectral_radius": 2.0, "is_orthogonal": true, "rank": 4 }, "field": { "matrix_size": 4, "density": 1.0, "determinant": 15.999999999999998 }, "shear": { "shear_stiffness": 16.0, "gram_rank": 4, "gram_spectrum": [ 4.0, 4.0, 4.0, 4.0 ] }, "packet": { "packet_size": 16, "encoding_efficiency": 1.0, "row_diversity": 1.7320508075688772 } }, { "k": 2, "n": 8, "hadamard_exists": true, "spectral": { "eigenvalues": [ 2.82842712474619, 2.82842712474619, 2.8284271247461885, 2.8284271247461863, -2.828427124746187, -2.8284271247461876, -2.8284271247461894, -2.82842712474619 ], "spectral_radius": 2.82842712474619, "is_orthogonal": true, "rank": 8 }, "field": { "matrix_size": 8, "density": 1.0, 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"field": { "matrix_size": 128, "density": 1.0, "determinant": 7.268387242959247e+134 }, "shear": { "shear_stiffness": 16384.0, "gram_rank": 128, "gram_spectrum": [ 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0, 128.0 ] }, "packet": { "packet_size": 16384, "encoding_efficiency": 1.0, "row_diversity": 11.269427669584644 } } ], "conjecture_analysis": { "hadamard_exists_count": 6, "total_tests": 6, "existence_rate": 1.0, "note": "Sylvester construction only works for powers of 2. Conjecture applies to all multiples of 4." }, "primitive_analysis": { "spectral": { "equation": "C = U\u039bU\u1d40", "application": "Hadamard matrix as orthogonal spectral basis", "insight": "Eigenvalues = \u00b1\u221an, orthogonality verified" }, "field": { "equation": "\u03c1(x\u20d7)", "application": "Matrix density and determinant", "insight": "Dense matrix with determinant n^(n/2)" }, "shear": { "equation": "G = A\u1d40A", "application": "Gram matrix = nI", "insight": "Gram structure indicates orthogonality" }, "packet": { "equation": "\u0393\u1d62", "application": "Hadamard as orthogonal packet encoding", "insight": "Encoding efficiency = 1 (optimal)" } }, "validation": { "status": "SUCCESS", "insight": "4-primitive framework successfully applied to Erd\u0151s Hadamard Conjecture. Spectral primitive captures orthogonal structure. Field primitive captures matrix properties. Shear primitive captures Gram structure. Packet primitive captures encoding efficiency. Framework validated for spectral matrix problems. Sylvester construction validates powers of 2; conjecture remains open for other multiples of 4." } }