Circular Trace Reconstruction
summary
Problem: reconstruct a circular binary string from independent deletion-channel traces (deletions prob q). Main claims: worst-case reconstruction uses exp(O(n^{1/3})) traces (up to logs) when N is N with at most two primes; average-case reconstruction uses polynomially many traces with K = k-deck with K=O(log n) and exponent depending on q; lower bound Ω(N^3) (up to logs). Tools: polynomial Q(Z) built from Nth roots of unity, an unbiased estimator H, cyclotomic-field arguments, Chernoff/Hellinger bounds, and inefficient pairwise tests; limitation: dependence on N’s prime factorization.
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chapters (4)
- 0:00Start
- 0:10Linear Trace Reconstruction • Trace reconstruction: An unknown binary string of length is passed through a deletion channel which deletes each bit independently with a food probability, resulting in a trace. How can we reconstruct the original string from many independent traces? What is the sample complexity, ie, how many traces do we need to recover the string with high probability?
- 6:34Worst-case Reconstruction • Let x be an unknown, arbitrary circular string of length that goes through the deletion channel with fixed deletion probability. Then
- 21:39Average-case Reconstruction: Bounding the Probabilities . Given two circular strings and y of length and a strings of length in x and y, we want to bound the probabilities that and start with s away from each other
