We investigate one of the most basic problems in streaming algorithms: approximating the number of elements in the stream. In 1978, Morris famously gave a randomized algorithm achieving a constant-factor approximation error for streams of length at most N in space O(loglogN). We investigate the pseudo-deterministic complexity of the problem and prove a tight Ω(logN) lower bound, thus resolving a problem of Goldwasser-Grossman-Mohanty-Woodruff.
@article{arxiv.2304.01438,
title = {Tight Space Lower Bound for Pseudo-Deterministic Approximate Counting},
author = {Ofer Grossman and Meghal Gupta and Mark Sellke},
journal= {arXiv preprint arXiv:2304.01438},
year = {2024}
}
Comments
Clarified example 2 in the technical overview. Appeared in FOCS 2023