Choose a point of with both coordinates positive, so its product is positive. The set is nonempty and compact; the continuous function therefore attains its maximum there. A maximizer cannot lie on either axis, where the product is zero. It consequently belongs to and also maximizes the product on that set.
For uniqueness, the function is strictly concave on the positive quadrant: its Hessian is , negative definite. If two distinct positive points attained the same maximal product, their midpoint would belong to by convexity and strict concavity would give a larger value of , hence a larger product. This contradiction proves existence and uniqueness of the positive product maximizer. This argument is positive-product maximization on a convex set; compactness should be applied to the closed quadrant intersection, not directly to the potentially noncompact set .