English

Haystack Hunting Hints and Locker Room Communication

Combinatorics 2021-06-04 v2 Data Structures and Algorithms

Abstract

We want to efficiently find a specific object in a large unstructured set, which we model by a random nn-permutation, and we have to do it by revealing just a single element. Clearly, without any help this task is hopeless and the best one can do is select the element at random, and achieve the success probability 1n\frac{1}{n}. Can we do better with some small amount of advice about the permutation, even without knowing the object sought? We show that by providing advice of just one integer in {0,1,...,n1}\{0,1,...,n-1\}, one can improve the success probability considerably, by a Θ(lognloglogn)\Theta(\frac{logn}{loglogn}) factor. We study this and related problems, and show asymptotically matching upper and lower bounds for their optimal probability of success.Our analysis relies on a close relationship of such problems to some intrinsic properties of rendom permutations related to the rencontres number.

Cite

@article{arxiv.2008.11448,
  title  = {Haystack Hunting Hints and Locker Room Communication},
  author = {Artur Czumaj and George Kontogeorgiou and Mike Paterson},
  journal= {arXiv preprint arXiv:2008.11448},
  year   = {2021}
}

Comments

27 pages, 1 figure

R2 v1 2026-06-23T18:06:38.746Z