Improved Bounds for Two Query Adaptive Bitprobe Schemes Storing Five Elements
Mirza Galib Anwarul Husain Baig, Deepanjan Kesh

TL;DR
This paper improves the theoretical lower bounds and proposes a more space-efficient scheme for two-query adaptive bitprobe schemes that store five elements, advancing understanding in data structure efficiency.
Contribution
It establishes a new lower bound of m^{3/4} and introduces a scheme with O(m^{5/6}) space for storing five elements, improving previous bounds.
Findings
Lower bound improved to m^{3/4}
Proposed scheme uses O(m^{5/6}) space
Advances bounds for adaptive bitprobe schemes
Abstract
In this paper, we study two-bitprobe adaptive schemes storing five elements. For these class of schemes, the best known lower bound is m^{1/2} due to Alon and Feige [SODA 2009]. Recently, it was proved by Kesh [FSTTCS 2018] that two-bitprobe adaptive schemes storing three elements will take at least m^{2/3} space, which also puts a lower bound on schemes storing five elements. In this work, we have improved the lower bound to m^{3/4}. We also present a scheme for the same that takes O(m^{5/6}) space. This improves upon the O(m^{18/19})-scheme due to Garg [Ph.D. Thesis] and the O(m^{10/11})-scheme due to Baig et al. [WALCOM 2019].
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
