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Is it possible to obtain a convex relaxation for $$ \{ (x,t): t \le \|x\|_2\} \in \mathbb{R}^{d+1} $$ where $x \in \mathbb{R}^d$ and $\|x\|_2$ is the usual Euclidean norm, by moving to higher dimensions and projecting back (the so-called lifting)?

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The image of a convex set under projection (and any linear map) is convex, so the answer appears to be negative. I may have misunderstood the question. –  user53153 Feb 27 '13 at 6:33
    
Thanks. You are right. What I mean is something which approximates this set in some sense. –  passerby51 Feb 27 '13 at 16:21
    
... I am even open to nonlinear maps as projections if the result is useful. (The question is more or less open-ended.) In deriving convex relaxations/approximations to many problems of interest, this set or its sister $\{ (X,t) : t I \preceq X\}$ comes up. –  passerby51 Feb 27 '13 at 16:30
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One can map the half-plane $\{t\le 0\}$ onto $\{t\le \|x\|\}$ by a reasonably explicit nonlinear map. Would this help? –  user53153 Feb 27 '13 at 16:48
    
It might. Not quite sure without seeing it. Could you give more details if it is not too much effort? –  passerby51 Feb 28 '13 at 18:21
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1 Answer

up vote 1 down vote accepted

The cone $\{ (x,t): t \le \|x\|_2\} $ cannot be the image of a convex set under a linear map. But it can be realized as the image of the halfspace $\{ (x,t): t \le 0 \} $ set under the following nonlinear map: $F(t,x) = (t+\|x\|_2,x)$. The map is a bijection, the inverse being $F^{-1}(t,x) = (t-\|x\|_2,x)$. It is a kind of shear deformation.

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