English

Shotgun assembly threshold for lattice labeling model

Probability 2022-05-04 v1

Abstract

We study the shotgun assembly problem for the lattice labeling model, where i.i.d. uniform labels are assigned to each vertex in a dd-dimensional box of side length nn. We wish to recover the labeling configuration on the whole box given empirical profile of labeling configurations on all boxes of side length rr. We determine the threshold around which there is a sharp transition from impossible to recover with probability tending to 1, to possible to recover with an efficient algorithm with probability tending to 1. Our result sharpens a constant factor in a previous work of Mossel and Ross (2019) and thus solves a question therein.

Cite

@article{arxiv.2205.01327,
  title  = {Shotgun assembly threshold for lattice labeling model},
  author = {Jian Ding and Haoyu Liu},
  journal= {arXiv preprint arXiv:2205.01327},
  year   = {2022}
}

Comments

16 pages

R2 v1 2026-06-24T11:05:34.164Z