English

Sequence Reconstruction Problem for Ternary Deletion Channels

Information Theory 2025-10-16 v1 math.IT

Abstract

The sequence reconstruction problem was proposed by Levenshtein in 2001. In this model, a sequence from a code is transmitted over several channels, and the decoder receives the distinct outputs from each channel. The main problem is to determine the minimum number of channels required to reconstruct the transmitted sequence. In the combinatorial context, the sequence reconstruction problem is equivalent to finding the value of Nq(n,d,t)N_q(n,d,t), defined as the size of the largest intersection of two metric balls of radius tt, where the distance between their centers is at least dd and the sequences are qq-ary sequences of the length nn. Levenshtein first discussed this problem in the uncoded sequence setting and determined the value of Nq(n,1,t)N_q(n,1,t) for any ntn\geqslant t. Moreover, Gabrys and Yaakobi studied this problem in the context of binary one-deletion-correcting codes and determined the value of N2(n,2,t)N_2(n,2,t) for t2t\geqslant 2. In this paper we study this problem for 33-ary sequences of length nn over the deletion channel, where the transmitted sequence belongs to a one-deletion-correcting code and there are tt deletions in every channel. Specifically, we determine N3(n,2,t)N_3(n,2,t) for t2t\geqslant 2.

Keywords

Cite

@article{arxiv.2509.24237,
  title  = {Sequence Reconstruction Problem for Ternary Deletion Channels},
  author = {Xiang Wang and Han Li and Fang-Wei Fu},
  journal= {arXiv preprint arXiv:2509.24237},
  year   = {2025}
}
R2 v1 2026-07-01T06:03:28.307Z