English

Tight Space Lower Bound for Pseudo-Deterministic Approximate Counting

Data Structures and Algorithms 2024-10-08 v3 Computational Complexity

Abstract

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)O(\log \log N). We investigate the pseudo-deterministic complexity of the problem and prove a tight Ω(logN)\Omega(\log N) lower bound, thus resolving a problem of Goldwasser-Grossman-Mohanty-Woodruff.

Keywords

Cite

@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

R2 v1 2026-06-28T09:48:03.205Z