Suppose that A = 1 L 0 0 L^2 3 2 1 1 where L belongs to R Find all the values of L in order for the Nullity A>0 (strictly positive).
I would use row reduction to change the matrix to \[\left[\begin{matrix}1 & L&0 \\ 0 & L^2 & 3 \\ 0 & 1-2L &1\end{matrix}\right]\]
(I add -2 times the first row to the last row) if we scale the last row by 3 \[ \left[\begin{matrix}1 & L&0 \\ 0 & L^2 & 3 \\ 0 & 3-6L &3\end{matrix}\right] \] we see we can can a repeated row (i.e. nullity >0 ) if \[ L^2 = 3-6L\] solve for L
how is L ^2 equal to 3 - 6L @phi
do you mean that I need to solve for L on that equation
I am saying *if* L^2 equals 3-6L then the 2nd and 3rd rows will be duplicates
*if* aha ok
in this case, there are two (ugly) values for L that "work"
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