Paper 1, Section I, D

Variational Principles | Part IB, 2010

(a) Define what it means for a function f:RnRf: \mathbb{R}^{n} \rightarrow \mathbb{R} to be convex and strictly convex.

(b) State a necessary and sufficient first-order condition for strict convexity of fC1(Rn)f \in C^{1}\left(\mathbb{R}^{n}\right), and give, with proof, an example of a function which is strictly convex but with second derivative which is not everywhere strictly positive.

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