Scaling and local limits of Baxter permutations through coalescent-walk processes
Jacopo Borga, Micka\"el Maazoun

TL;DR
This paper introduces coalescent-walk processes and establishes their connection to Baxter permutations and related structures, proving their convergence to a new fractal permuton and analyzing the scaling limits of these combinatorial objects.
Contribution
It introduces coalescent-walk processes and demonstrates their role in connecting Baxter permutations, plane bipolar orientations, and walks, including establishing their scaling limits and convergence to a new fractal permuton.
Findings
Joint Benjamini--Schramm convergence of the four families.
Construction of the coalescent Baxter permuton as a scaling limit.
Convergence of coalescent-walk processes to a perturbed Tanaka SDE.
Abstract
Baxter permutations, plane bipolar orientations, and a specific family of walks in the non-negative quadrant are well-known to be related to each other through several bijections. We introduce a further new family of discrete objects, called coalescent-walk processes, that are fundamental for our results. We relate these new objects with the other previously mentioned families introducing some new bijections. We prove joint Benjamini--Schramm convergence (both in the annealed and quenched sense) for uniform objects in the four families. Furthermore, we explicitly construct a new fractal random measure of the unit square, called the coalescent Baxter permuton and we show that it is the scaling limit (in the permuton sense) of uniform Baxter permutations. To prove the latter result, we study the scaling limit of the associated random coalescent-walk processes. We show that they converge…
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
TopicsRandom Matrices and Applications · Advanced Combinatorial Mathematics · Stochastic processes and statistical mechanics
