maverick280857
- 1,774
- 5
Hi,
I've been trying to get my head around this. \Sigma_{(j)} is a p x p matrix given by
\Sigma_{(j)} = \left(\begin{array}{cc}\sigma_{jj} & \boldsymbol{\sigma_{(j)}'}\\\boldsymbol{\sigma_{(j)}} & \boldsymbol{\Sigma_{(2)}}\end{array}\right)
where \sigma_{jj} is a scalar, \boldsymbol{\sigma_{(j)}} is a (p-1)x1 column vector, and \boldsymbol{\Sigma_{(2)}} is a (p-1)x(p-1) matrix.
The result I can't understand is
|\Sigma_{(j)}| = |\Sigma_{(2)}|(\sigma_{jj} - \boldsymbol{\sigma_{(j)}'\Sigma_{2}^{-1}\sigma_{(j)}})
where |.| denotes the determinant. How does one get this? It seems to be consistent, but I don't 'see' how it is obvious. I searched the internet for results on determinants of block matrices but all I got was stuff for [a b;c d] where a, b, c, d are all n x n matrices, in which case the determinant is just det(ad-bc).
Any inputs would be appreciated.
Thanks in advance!
I've been trying to get my head around this. \Sigma_{(j)} is a p x p matrix given by
\Sigma_{(j)} = \left(\begin{array}{cc}\sigma_{jj} & \boldsymbol{\sigma_{(j)}'}\\\boldsymbol{\sigma_{(j)}} & \boldsymbol{\Sigma_{(2)}}\end{array}\right)
where \sigma_{jj} is a scalar, \boldsymbol{\sigma_{(j)}} is a (p-1)x1 column vector, and \boldsymbol{\Sigma_{(2)}} is a (p-1)x(p-1) matrix.
The result I can't understand is
|\Sigma_{(j)}| = |\Sigma_{(2)}|(\sigma_{jj} - \boldsymbol{\sigma_{(j)}'\Sigma_{2}^{-1}\sigma_{(j)}})
where |.| denotes the determinant. How does one get this? It seems to be consistent, but I don't 'see' how it is obvious. I searched the internet for results on determinants of block matrices but all I got was stuff for [a b;c d] where a, b, c, d are all n x n matrices, in which case the determinant is just det(ad-bc).
Any inputs would be appreciated.
Thanks in advance!