(a) Let A be an n x n orthogonal matrix. Prove that the rows and columns of A form an orthonormal set and that $A^T = A^{-1}$.
(b) Consider the subspaces $W_1$ and $W_2$ spanned by the vectors $v_1 = (1, 1, 0)^T$, $v_2 = (0, 1, 1)^T$, and $w_1 = (1, 0, 1)^T$, $w_2 = (1, 1, 1)^T$ in $R^3$. Find a vector that lies in both $W_1$ and the orthogonal complement of $W_2$.
(c) Let A be a real symmetric matrix. Prove that the eigenspaces corresponding to different eigenvalues of A are orthogonal.