I missed my class on the inverses of matrices. I'm catching up well, but there's a problem in the book that got me stumped.
It's a $4 \times 4$ matrix that is almost an identity matrix, but whose bottom row is $a,b,c,d$ instead of $0,0,0,1$.
$$\begin{pmatrix} 1 &0 &0 &0 \\ 0 &1 &0 &0 \\ 0& 0 & 1 &0 \\ a &b & c & d \end{pmatrix}$$
Any pointers?
Recall that one way to compute an inverse is by forming the augmented matrix
$$ (A \vert I) $$ and then using Gaussian elimination to completely row-reduce $A$. The final result will be of the form $$ (I \vert A^{-1}). $$
So, in this case, you would write $$ \begin{bmatrix} 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 & 0 & 0 & 1 & 0 \\ a & b & c & d & 0 & 0 & 0 & 1 \end{bmatrix} $$
and the first step would be to add $-a \times$ (first row) to (last row), i.e. $$ \begin{bmatrix} 1 & 0 & 0 & 0 & 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 & 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 & 0 & 0 & 1 & 0 \\ 0 & b & c & d & -a & 0 & 0 & 1 \end{bmatrix} $$
etc.