Write . Rescaling the parameter in the directional derivative gives for , and handles . For sufficiently small , convexity gives
Subtract , divide by , and let . The finite limits from part (b) give
These are exactly the defining conditions of a sublinear functional. In particular, a directional derivative of a convex function is sublinear; it need not be linear.