Succinct Data Structures for Baxter Permutation and Related Families
Sankardeep Chakraborty, Seungbum Jo, Geunho Kim, Kunihiko Sadakane

TL;DR
This paper introduces space-efficient data structures for Baxter and separable permutations, enabling fast queries and applications to combinatorial objects like floorplans and orientations.
Contribution
It presents the first succinct representations for Baxter and separable permutations with sub-linear and constant query times, respectively, surpassing previous lower bounds.
Findings
Succinct representation for Baxter permutations with sub-linear query times.
Constant-time queries for separable permutations, breaking Golynski's lower bound.
Applications to efficient navigation in floorplans and plane bipolar orientations.
Abstract
A permutation is a Baxter permutation if and only if it does not contain either of the patterns and . Baxter permutations are one of the most widely studied subclasses of general permutation due to their connections with various combinatorial objects such as plane bipolar orientations and mosaic floorplans, etc. In this paper, we introduce a novel succinct representation (i.e., using additional bits from their information-theoretical lower bounds) for Baxter permutations of size that supports and queries for any in and time, respectively. Here, and are arbitrary increasing functions that satisfy the conditions and , respectively. This stands out as the first succinct representation with sub-linear worst-case query times…
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