Randomized and quantum query complexities of finding a king in a tournament
Abstract
A tournament is a complete directed graph. It is well known that every tournament contains at least one vertex v such that every other vertex is reachable from v by a path of length at most 2. All such vertices v are called *kings* of the underlying tournament. Despite active recent research in the area, the best-known upper and lower bounds on the deterministic query complexity (with query access to directions of edges) of finding a king in a tournament on n vertices are from over 20 years ago, and the bounds do not match: the best-known lower bound is Omega(n^{4/3}) and the best-known upper bound is O(n^{3/2}) [Shen, Sheng, Wu, SICOMP'03]. Our contribution is to show essentially *tight* bounds (up to logarithmic factors) of Theta(n) and Theta(sqrt{n}) in the *randomized* and *quantum* query models, respectively. We also study the randomized and quantum query complexities of finding a maximum out-degree vertex in a tournament.
Keywords
Cite
@article{arxiv.2308.02472,
title = {Randomized and quantum query complexities of finding a king in a tournament},
author = {Nikhil S. Mande and Manaswi Paraashar and Nitin Saurabh},
journal= {arXiv preprint arXiv:2308.02472},
year = {2023}
}