When a square matrix is squared, then why isn't its determinant negative?
For example, in the $2 \times 2$ matrix
$$\begin{pmatrix} 1 & 2 \\ 3 & 4 \end{pmatrix}^2 = \begin{pmatrix} 7 & 10 \\ 15 & 22 \end{pmatrix}$$
$$\begin{vmatrix} 7 & 10 \\ 15 & 22 \\ \end{vmatrix} = 154 - 150 = +4$$ i.e in 2*2 matrix, the determinant of the squared matrix, the product of the left diagonal always become greater than the product of the right diagonal.
I just can't figured out, why?
Thanks.
[edit]: If the determinant is not zero or it has a solution.
That is because the determinant of a matrix product of square matrices equals the product of their determinants. $$\text{det}(AB)=\text{det}(A)\text{det}(B).$$ More on this can be found here. So the determinant of $A^2$ becomes $(\text{det}(A))^2,$ which is of course non-negative.