Sylvester's determinant theorem

Sylvester's determinant theorem

In matrix theory, Sylvester's determinant theorem is a theorem useful for evaluating certain types of determinants. It is named after James Joseph Sylvester.

The theorem states that if "A", "B" are matrices of size "p" × "n" and "n" × "p" respectively, then

:det(I_p + AB) = det(I_n + BA),

where "I""a" is the identity matrix of order "a".

This theorem is useful in developing a Bayes estimator for multivariate Gaussian distributions.

Sylvester (1857) stated this theorem without proof.


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