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DECOMPOSITION

eigvals

Compute eigenvalues from an ordinary or generalized eigenvalue problem.

Example of usage

Factorise a labelled industrial sensor calibration matrix and verify reconstruction.

Usage / limitations

+Use when: Measure system eigenvalues without eigenvectors.

−Limitations: Matrix shape, symmetry, conditioning and numerical precision constrain validity.

Mathematical formula

det(A − λI) = 0.
Sample dataShow
{
  "variable": "measurement_matrix",
  "domain": "Industrial sensor calibration",
  "feature_names": [
    "temperature_c",
    "vibration_mm_s"
  ],
  "matrix": [
    [
      3.0,
      1.0
    ],
    [
      1.0,
      3.0
    ]
  ]
}

Code example (Python)

# DataLens.ai example
# Factorise the named two- or three-sensor calibration matrix.
from scipy.linalg import eigvals
values = eigvals(A)
assert np.allclose(np.sort(values.real), [2, 4])
print("Expected output verified")