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Timeline for Dual Norm For Sum of 2-Norms

Current License: CC BY-SA 3.0

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Jul 14, 2012 at 20:38 vote accept AnonSubmitter85
Jul 4, 2012 at 7:02 answer added Mikael de la Salle timeline score: 2
Jul 4, 2012 at 1:33 history edited AnonSubmitter85 CC BY-SA 3.0
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Jul 3, 2012 at 17:34 answer added Deane Yang timeline score: 2
Jul 3, 2012 at 16:18 history edited AnonSubmitter85 CC BY-SA 3.0
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Jul 3, 2012 at 16:17 comment added AnonSubmitter85 @Brain: I edited the question to use what you say is the standard definition, though I do not think it affects the answer.
Jul 3, 2012 at 2:10 comment added Brian Borchers The definition of "dual norm" used in this question isn't at all standard. The standard definition is that $\| y \|_{*}=\sup \left\{ y^{T}x | \| x \| \leq 1 \right\} $
Jul 3, 2012 at 2:06 comment added Will Sawin If you expand Deane Yang's equation you end up finding the highest $C$ such that $y^T= C\sum_{i=0}^k (1/||A_i \cdot x||_2) x^T A_i^T A_i$, but I'm not sure how to solve that.
Jul 3, 2012 at 1:45 comment added Will Sawin @Yemon: How is that accurate? Let $||x||$ be the standard $L_2$-norm, then $n||x||+m||x||=(n+m)||x||$, but their duals are $(1/n)||x||$, $(1/m)||x||$, and $(1/n+m)||x||$ respectively. That operation is not the maximum.
Jul 2, 2012 at 23:24 comment added Yemon Choi A rule of thumb that may be useful: the dual of a norm defined in terms of sums of other norms is usually given by taking the maximum of the duals of those constituent norms
Jul 2, 2012 at 23:23 comment added Yemon Choi You need some conditions on your A matrices, presumably, to ensure one has a norm and not just a seminorm
Jul 2, 2012 at 19:22 comment added Deane Yang Note that $\|y||_* = \max_{x} \{ |y^T\cdot x|/\|x\|\}$. So just solve for the critical points of $x \mapsto |y^T\cdot x|/\|x\|$ and substitute the answer back into the formula.
Jul 2, 2012 at 18:22 history asked AnonSubmitter85 CC BY-SA 3.0