spd_learn.functional.geodesic_thompson#

spd_learn.functional.geodesic_thompson(A, B, alpha=0.5)[source]#

Thompson geodesic between SPD/HPD matrices.

The matrix at position \(\alpha\) on a possible Thompson geodesic between two SPD/HPD matrices \(\mathbf{A}\) and \(\mathbf{B}\) is given in [1].

\(\mathbf{C}\) is equal to \(\mathbf{A}\) if \(\alpha\) = 0, and \(\mathbf{B}\) if \(\alpha\) = 1.

Parameters:
  • A (ndarray, shape (..., n, n)) – First SPD/HPD matrices.

  • B (ndarray, shape (..., n, n)) – Second SPD/HPD matrices.

  • alpha (float | ndarray, shape (...,), default=0.5) –

    Position on the geodesic. If ndarray, one value per matrix pair.

    Changed in version 0.12.

Returns:

C – SPD/HPD matrices on the Thompson geodesic.

Return type:

ndarray, shape (…, n, n)

Notes

Added in version 0.10.

Changed in version 0.12: Add support for NumPy and PyTorch. Add support for array-valued alpha.

See also

geodesic

References

[1]

Differential geometry with extreme eigenvalues in the positive semidefinite cone C. Mostajeran, N. Da Costa, G. Van Goffrier and R. Sepulchre. SIAM Journal on Matrix Analysis and Applications, 2024