Multiplying the first column by alters the determinant as follows:
Now you can multiply the other columns and add to the first column to your hearts content as it does not alter the determinant due to linear dependency on the other rows.
- Multiply column 2 by and add to column 1
- Multiply column 3 by and add to column 1
Woot! That first column now looks like the b vector! Substitute:
Dividing both sides by yields
Which lends itself to the following form:
Where c denotes the cofactor of the associated matrix element
- The solution does not depend on the direction of the coefficients
- The solution is scaled by the coefficients
- There is alot that can be said to be "vector like". The scaled and added columns are in the same direction as the other columns. ( basis vectors ?) And thus the cross product yields zero!
- Dot product of b vector with cross product generated cofactor vector shows the solution to be in the direction of the cofactor vector scaled by the projection of b and det(A)
- Cofactor vector is orthogonal to all the other column vectors showing that only the component of b in the orthogonal direction is what counts in the solution