The Schur complement is defined for a block matrix that is partitioned into four sub-blocks:

where and are square matrices.

Schur Complement of

If the block is invertible, the Schur complement of in is the matrix defined as:

Schur Complement of

Similarly, if the block is invertible, the Schur complement of in is the matrix defined as:

Decomposition

The cool thing is that if the complement is possible, then we can decompose

Decomposition via Schur Complement of

This decomposition is possible if the top-left block is invertible. The Schur Complement of in is:

The matrix can then be decomposed as:

Where:

  • The first matrix is block lower triangular ().
  • The second matrix is block diagonal () and contains the original block and the Schur complement .
  • The third matrix is block upper triangular ().

This formula shows that is congruent to the block-diagonal matrix via a block triangular matrix.

Decomposition via Schur Complement of

This decomposition is possible if the bottom-right block is invertible. The Schur Complement of in is:

The matrix can then be decomposed as:

Where:

  • The first matrix is block upper triangular ().
  • The second matrix is block diagonal () and contains the Schur complement and the original block .
  • The third matrix is block lower triangular ().