Baxter $d$-permutations and other pattern avoiding classes
Nicolas Bonichon, Pierre-Jean Morel

TL;DR
This paper explores multidimensional permutations, classifies small pattern avoiding classes, establishes bijections, and generalizes Baxter permutations to higher dimensions with vincular pattern characterizations.
Contribution
It introduces the concept of Baxter $d$-permutations and extends pattern avoidance theory into multidimensional settings.
Findings
Complete enumeration of small pattern avoiding classes
Bijections for certain classes
Characterization of Baxter $d$-permutations via vincular patterns
Abstract
A permutation of size can be identified to its diagram in which there is exactly one point per row and column in the grid . In this paper we consider multidimensional permutations (or -permutations), which are identified to their diagrams on the grid in which there is exactly one point per hyperplane for and . We first investigate exhaustively all small pattern avoiding classes. We provide some bijection to enumerate some of these classes and we propose some conjectures for others. We then give a generalization of well-studied Baxter permutations into this multidimensional setting. In addition, we provide a vincular pattern avoidance characterization of Baxter -permutations.
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.
Taxonomy
TopicsAdvanced Combinatorial Mathematics · Genome Rearrangement Algorithms · Markov Chains and Monte Carlo Methods
