English

Lower bounds for trace reconstruction

Probability 2019-06-10 v2 Computational Complexity Information Theory math.IT Statistics Theory Statistics Theory

Abstract

In the trace reconstruction problem, an unknown bit string x{0,1}n{\bf x}\in\{0,1 \}^n is sent through a deletion channel where each bit is deleted independently with some probability q(0,1)q\in(0,1), yielding a contracted string x~\widetilde{\bf x}. How many i.i.d.\ samples of x~\widetilde{\bf x} are needed to reconstruct x\bf x with high probability? We prove that there exist x,y{0,1}n{\bf x},{\bf y} \in\{0,1 \}^n such that at least cn5/4/lognc\, n^{5/4}/\sqrt{\log n} traces are required to distinguish between x{\bf x} and y{\bf y} for some absolute constant cc, improving the previous lower bound of cnc\,n. Furthermore, our result improves the previously known lower bound for reconstruction of random strings from clog2nc \log^2 n to clog9/4n/loglognc \log^{9/4}n/\sqrt{\log \log n} .

Cite

@article{arxiv.1808.02336,
  title  = {Lower bounds for trace reconstruction},
  author = {Nina Holden and Russell Lyons},
  journal= {arXiv preprint arXiv:1808.02336},
  year   = {2019}
}

Comments

Minor changes. 23 pages, 3 figures

R2 v1 2026-06-23T03:26:44.976Z