is there any embedding thm only bounding small number of vertices?
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							@@ -192,6 +192,7 @@ I think the intuition behind this SDP relaxation is almost the same as \metric{}
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\end{enumerate}
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The Lasserre relaxation of SDP automatically satisfies 1 and 2. But I believe there may be some very strange kind of metric that embeds into $\ell_1$ well?
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Another possible approach for \nonuscut{} would be making the number of demand vertices small and then applying a metric embedding (contraction) to $\ell_1$ with better distortion on those vertices.
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\bibliographystyle{alpha}
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\bibliography{ref}
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\end{document}
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