What is the role of convex hull in SVM geometry?

Convex hull represents the smallest convex region enclosing each class in feature space.

SVM effectively finds the maximum margin hyperplane between convex hulls of different classes. If convex hulls overlap, perfect separation is impossible, requiring soft margins. This geometric interpretation helps understand why support vectors lie on boundaries.