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Polar of a set is defined as:

$C^0 = \{ y\in \mathbb{R}^n | y^Tx \leq 1, \forall x \in C\}$

Now from wikipedia, the intuitive idea of polar of a cone is easily understandable. But how can it be shown that $C^0$ is convex, even when $C$ is not? Any hint or explanation is highly appreciated. Thanks.

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$C^0$ can be written as the intersection of closed half-spaces: $$ C^0 = \bigcap_{x\in C} \{ y\in \mathbb R^n: x^Ty\le 1\}, $$ hence $C^0$ is convex.

If $C$ is cone then $$ C^0 = \{ y\in \mathbb R^n: x^Ty\le 0 \ \forall x\in C\}, $$ which is sometimes called the dual cone. If $C$ is a linear subspace then $C^0 = C^\perp$.

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    Is your notation correct? Could you please explain a little bit more? For example, if $C$ is a cone, then what will be the $C^0$? I am trying to get the intuitive idea here.2017-02-15
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    What are your doubts? You could also check convexity directly, after all, the conditions in $C^0$ are affine linear inequalities.2017-02-15
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    I was wondering if its $x^Ty$ or $y^Tx$ as you wrote above?2017-02-16