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arxiv: 1808.02336 · v2 · pith:2IAHOWVNnew · submitted 2018-08-04 · 🧮 math.PR · cs.CC· cs.IT· math.IT· math.ST· stat.TH

Lower bounds for trace reconstruction

classification 🧮 math.PR cs.CCcs.ITmath.ITmath.STstat.TH
keywords lowerreconstructionboundprobabilitysomesqrtstringtrace
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In the trace reconstruction problem, an unknown bit string ${\bf x}\in\{0,1 \}^n$ is sent through a deletion channel where each bit is deleted independently with some probability $q\in(0,1)$, yielding a contracted string $\widetilde{\bf x}$. How many i.i.d.\ samples of $\widetilde{\bf x}$ are needed to reconstruct $\bf x$ with high probability? We prove that there exist ${\bf x},{\bf y} \in\{0,1 \}^n$ such that at least $c\, n^{5/4}/\sqrt{\log n}$ traces are required to distinguish between ${\bf x}$ and ${\bf y}$ for some absolute constant $c$, improving the previous lower bound of $c\,n$. Furthermore, our result improves the previously known lower bound for reconstruction of random strings from $c \log^2 n$ to $c \log^{9/4}n/\sqrt{\log \log n} $.

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