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I find a proof [here] (http://mathhelpforum.com/advanced-math-topics/129503-second-order-condition-convexity.html).
But I don't understand the second part. For example, what does it mean to say

For the converse, if f is convex, then certain subdeterminants of the Hessian matrix satisfy certain conditions.

amWhy
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1 Answers1

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The second part is hard to understand because it is basically a tautology; I would not consider it a valid proof. The "certain conditions" they're talking about is the positive-definiteness of the Hessian.

Another reference is given here

Zim
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