English

Codes for the Z-channel

Information Theory 2023-07-04 v3 Computational Complexity Combinatorics math.IT

Abstract

This paper is a collection of results on combinatorial properties of codes for the Z-channel. A Z-channel with error fraction τ\tau takes as input a length-nn binary codeword and injects in an adversarial manner up to nτn\tau asymmetric errors, i.e., errors that only zero out bits but do not flip 00's to 11's. It is known that the largest (L1)(L-1)-list-decodable code for the Z-channel with error fraction τ\tau has exponential size (in nn) if τ\tau is less than a critical value that we call the (L1)(L-1)-list-decoding Plotkin point and has constant size if τ\tau is larger than the threshold. The (L1)(L-1)-list-decoding Plotkin point is known to be L1L1LLL1 L^{-\frac{1}{L-1}} - L^{-\frac{L}{L-1}} , which equals 1/41/4 for unique-decoding with L1=1 L-1=1 . In this paper, we derive various results for the size of the largest codes above and below the list-decoding Plotkin point. In particular, we show that the largest (L1)(L-1)-list-decodable code ϵ\epsilon-above the Plotkin point, {for any given sufficiently small positive constant ϵ>0 \epsilon>0 ,} has size ΘL(ϵ3/2)\Theta_L(\epsilon^{-3/2}) for any L11L-1\ge1. We also devise upper and lower bounds on the exponential size of codes below the list-decoding Plotkin point.

Keywords

Cite

@article{arxiv.2105.01427,
  title  = {Codes for the Z-channel},
  author = {Nikita Polyanskii and Yihan Zhang},
  journal= {arXiv preprint arXiv:2105.01427},
  year   = {2023}
}
R2 v1 2026-06-24T01:45:51.661Z