Lower bounds for trace reconstruction

08/04/2018
by   Nina Holden, et al.
0

In the trace reconstruction problem, an unknown bit string x∈{0,1}^n is sent through a deletion channel where each bit is deleted independently with some probability q∈(0,1), yielding a contracted string x. How many i.i.d. samples of x are needed to reconstruct x with high probability? We prove that there exist x, y∈{0,1 }^n such that we need at least c n^5/4/√( n) traces to distinguish between x and 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 ^2 n to c ^9/4n/√( n) .

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/02/2020

Circular Trace Reconstruction

Trace Reconstruction is the problem of learning an unknown string x from...
research
01/15/2018

Subpolynomial trace reconstruction for random strings and arbitrary deletion probability

The deletion-insertion channel takes as input a bit string x∈{0,1}^n, a...
research
02/10/2021

Trace Reconstruction with Bounded Edit Distance

The trace reconstruction problem studies the number of noisy samples nee...
research
04/11/2019

Beyond trace reconstruction: Population recovery from the deletion channel

Population recovery is the problem of learning an unknown distribution o...
research
04/21/2019

Trace Reconstruction: Generalized and Parameterized

In the beautifully simple-to-state problem of trace reconstruction, the ...
research
07/24/2021

Near-Optimal Average-Case Approximate Trace Reconstruction from Few Traces

In the standard trace reconstruction problem, the goal is to exactly rec...
research
12/12/2020

Approximate Trace Reconstruction

In the usual trace reconstruction problem, the goal is to exactly recons...

Please sign up or login with your details

Forgot password? Click here to reset