Random Subnetworks of Random Sorting Networks
Omer Angel, Alexander E. Holroyd

TL;DR
This paper studies random subnetworks of sorting networks, providing formulas for swap counts and confirming a conjecture, with implications for the limiting behavior of such networks as size grows.
Contribution
It introduces a probabilistic approach to analyze random subnetworks of sorting networks and proves a conjecture related to their structure.
Findings
Expected number of swaps in subnetwork does not depend on total size n.
Provides a formula for the expected swaps in subnetwork.
Confirms a conjecture of Warrington and supports the great circle conjecture.
Abstract
A sorting network is a shortest path from 12...n to n...21 in the Cayley graph of S_n generated by nearest-neighbor swaps. For m<=n, consider the random m-particle sorting network obtained by choosing an n-particle sorting network uniformly at random and then observing only the relative order of m particles chosen uniformly at random. We prove that the expected number of swaps in location j in the subnetwork does not depend on n, and we provide a formula for it. Our proof is probabilistic, and involves a Polya urn with non-integer numbers of balls. From the case m=4 we obtain a proof of a conjecture of Warrington. Our result is consistent with a conjectural limiting law of the subnetwork as n->infinity implied by the great circle conjecture Angel, Holroyd, Romik and Virag.
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 · Markov Chains and Monte Carlo Methods
