Given the matrix A below
Find a matrix equation that can give information about:
-orthogonality of column vectors and their norms
-eigenvalues of matrix A including their algebraic multiplicities
-rank of A
-geometric multiplicities of eigenvalues
My try:
If column vectors are orthogonal, then we should get $AA^T = 8I$ (or $A^TA=8I)$, this should tell us that their norms are $\sqrt{8}$.
Multiplying the equation by some eigenvector $x_1$ of $A^T$, we have this:
$A\lambda_1 x_1 = 8Ix_1$
Then this means that for the same (eigen)vector, matrix A has eigenvalue $\frac{8}{\lambda}$
$Ax_1=\frac{8}{\lambda_1}x_1$
What should I obtain from this?Another thing I've noticed is that if we multiply the equation
$A^TA=8I$
by some $x^T$ and $x$ we get
$x^TA^TAx=x^T8Ix$
$(Ax)^TAx=x^T8Ix$
$||Ax||=8||x||$
which tells me that matrix A increases vector norm by 8.

Yes, $A^TA = 8I$ seems pretty good, but you also need $A^T = A$. We get $$\det(A)^2 = \det(A^TA) = \det(8I) = 8^8 \ne 0$$ so $A$ has full rank $8$.