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Let $M$ be a $2^n \times 2^n$ matrix over real number field, where the rows and columns are indexed by subsets of $[n] := \{1,2,\ldots,n\}$, and defined as follows, $ M_{A, B} = 1 $ if $A \subseteq B$; $M_{A, B} = -1$ if $B \subsetneq A$; $M_{A, B}$ can take arbitrary value over $\mathbb{R}$.

In words, $M$ is a matrix with some missing entries. Is there some result lower bounds the rank of matrix $M$, for example, $rk(M) \ge n^{\Omega(\log n)}$.

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  • $\begingroup$ What does "undefined" mean? Do you need the lower bound for all matrices with some prescribed values? $\endgroup$ – Ilya Bogdanov Feb 7 '13 at 15:16
  • $\begingroup$ "undefined" = could take any value. Lower bound means the lower bound for all such matrices $\endgroup$ – jsliyuan Feb 8 '13 at 0:43
  • $\begingroup$ Do you have constructions that allow reducing the rank so much?? $\endgroup$ – Suvrit Feb 8 '13 at 3:57
  • $\begingroup$ (it seems to be easy to reduce the rank $2^{n/2}$, but one needs something more clever to reduce it even further...) $\endgroup$ – Suvrit Feb 8 '13 at 4:00
  • $\begingroup$ I think I have constructions achieving this bound. But I don't know how to prove the lower bound. $\endgroup$ – jsliyuan Feb 8 '13 at 7:26
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Amazingly (to me) the rank can be as low as $n$. Simply define $M_{A,B}=1$ when $|A| \le |B|$ and $M_{A,B}=-1$ when $|A| \gt |B|.$ This is consistent with the previous requirements and makes the $A$ row depend only on $|A|.$

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