Bootstrap Percolation, Indecomposable Permutations, and the n-Kings problem
Mark Huibregtse, Cristobal Lemus-Vidales, David Vella

TL;DR
This paper investigates bootstrap percolation on permutation matrices, explores their connection to indecomposable permutations, and provides new formulas and solutions for related combinatorial problems like the n-kings problem.
Contribution
It introduces a novel analysis of bootstrap percolation on permutation matrices and establishes new formulas for permutation counts, including a solution to the n-kings problem.
Findings
Number of full indecomposable permutations is half of all full permutations.
Number of full permutations equals the (n-1)st large Schroeder number.
Derived a new formula for the count of no-growth permutations.
Abstract
We study the process of bootstrap percolation on n x n permutation matrices, inspired by the work of Shapiro and Stephens [5]. In this percolation model, cells mutate (from 0 to 1) if at least two of their cardinal neighbors contain a 1, and thereafter remain unchanged; the process continues until no further mutations are possible. After carefully analyzing this process, we consider how it interacts with the notion of (in)decomposable permutations. We prove that the number of indecomposable permutations whose matrices "fill up'' to contain all 1's (or are "full") is half of the total number of full permutations. This leads to a new proof of a key result in [5], that the number of full n x n permutations is the (n-1)st large Schroeder number. Finally, after rigorously justifying a heuristic argument in [5], we find a new formula for the number of n x n "no growth" permutations, and hence…
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
TopicsStochastic processes and statistical mechanics · Advanced Combinatorial Mathematics · Limits and Structures in Graph Theory
