As you know that is enough negating below of diagonal to inverse of lower triangular identity matrix.
example
$$A = \left(\begin{matrix} 1 & 0 & 0 & 0 \\ 3 & 1 & 0 & 0 \\ -1 & 0 & 1 & 0 \\ 2 & 0 & 0 & 1 \\ \end{matrix}\right) $$
basically inverse of A
$$A' = \left( \begin{matrix} 1 & 0 & 0 & 0 \\ -3 & 1 & 0 & 0 \\ 1 & 0 & 1 & 0 \\ -2 & 0 & 0 & 1 \\ \end{matrix}\right) $$
I just need to prove it.
my question is not related any software. it is general linear algebra question. It's not enough to say that "if $A'=$ (inversion of $A$), multiplication $A'$ and $A$ should be $I$ (identity matrix)". we cannot say for all case. I need a general proof.
it's related topic with Gauss Elimination - LU decomposition
thank you for any help.