No need to define 'convex optimization' here, that follows from the definition of a convex function: F(ax + (1-a)y) <= aF(x) + (1-a) F(y) for 0<=a<=1 and x,y in domain of F. For the inequality to be satisfied ax + (1-a)y has to be in the domain. That mean the domain is convex.