How does SVM relate to convex hull separation theorem?

SVM finds a maximum margin hyperplane separating convex hulls of classes.

Each class forms a convex hull in feature space. If hulls are disjoint, SVM finds a separating hyperplane maximizing distance between them. If they overlap, soft margin SVM is used.