Theorem (Positive Definite = Positive Eigenvalues)

Let $\mathbf{A}$ be a $k\times k$ matrix of real elements. If $\mathbf{A}$ is symmetric and positive semidefinite (respectively Positive Definite) then all of its eigenvalues are nonnegative (respectively positive).