The Limit Profile of Star Transpositions
Evita Nestoridi

TL;DR
This paper characterizes the asymptotic behavior of the total variation distance for star transpositions at a specific time scale, revealing a Poisson-based limit profile and establishing a comparison technique for reversible Markov chains.
Contribution
It introduces a new method for comparing the limit profiles of reversible Markov chains sharing the same stationary distribution and eigenbasis, and applies it to star transpositions.
Findings
Limit profile of star transpositions converges to a Poisson distribution difference.
Star transpositions and random transpositions share the same limit profile at cutoff times.
Develops a technique for comparing reversible Markov chains' limit profiles.
Abstract
We prove that the limit profile of star transpositions at time is equal to . We prove this by developing a technique for comparing the limit profile behavior of two reversible Markov chains on the same space, that share the same stationary distribution and eigenbasis. We then compare the limit profile of star transpositions to the limit profile of random transpositions, as studied in \cite{Teyssier}, and prove that they have the same limit profile at the respective cutoff times.
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 · Markov Chains and Monte Carlo Methods · Genome Rearrangement Algorithms
