Reconstructing a point set from a random subset of its pairwise distances
Let V be a set of n points on the real line. Suppose that each pairwise distance isknown independently with probability p. How much of V can be reconstructed up to isometry? Weprove that p = (log n)/n is a sharp threshold for reconstructing all of V , which improves a resultof Benjamini and Tzalik. This follows from a hitting time result for the random process where thepairwise distances are revealed one by one uniformly at random. We also show that 1/n is a weakthreshold for reconstructing a linear proportion of V.
Publication Details
- Journal
- UCL Discovery (University College London)
- Published
- 2024-12-31
- Primary Topic
- Gene expression and cancer classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00