Then prove that the function is strictly convex. (For both points you could use properties of the functions hessian matrix, if you are allowd to do so - but of course these are not the only ways.)
This implies that your local minimum is also a global minimum.
I'll give some hints:
First show that the point is a local minimum.
Then prove that the function is strictly convex. (For both points you could use properties of the functions hessian matrix, if you are allowd to do so - but of course these are not the only ways.)
This implies that your local minimum is also a global minimum.