Write . Rescaling the parameter in the directional derivative gives for , and handles . For sufficiently small , convexity givesSubtract , divide by , and let . The finite limits from part (b) giveThese 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.
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