The evolution of the permutahedron
Maur\'icio Collares, Joseph Doolittle, Joshua Erde

TL;DR
This paper investigates the percolation and connectivity thresholds in random subgraphs of the permutahedron, extending classical random graph results to a highly symmetric polytope and introducing new exploration methods.
Contribution
It determines the percolation and connectivity thresholds for the permutahedron and develops a novel graph exploration technique for high-dimensional geometric graphs.
Findings
Identified the percolation threshold for the permutahedron.
Determined the connectivity threshold for the permutahedron.
Introduced a new exploration method for large clusters in geometric graphs.
Abstract
In their seminal paper introducing the theory of random graphs, Erd\H{o}s and R\'{e}nyi considered the evolution of the structure of a random subgraph of as the density increases from to , identifying two key points in this evolution -- the \emph{percolation threshold}, where the order of the largest component seemingly jumps from logarithmic to linear in size, and the \emph{connectivity threshold}, where the subgraph becomes connected. Similar phenomena have been observed in many other random graph models, and in particular, works of Ajtai, Koml\'{o}s and Szemer\'{e}di and of Spencer and Erd\H{o}s determine corresponding thresholds for random subgraphs of the hypercube. We study similar questions on the \emph{permutahedron}. The permutahedron, like the hypercube, has many different equivalent representations, and arises as a natural object of study in many areas of…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Topological and Geometric Data Analysis · Random Matrices and Applications
