
TL;DR
This paper introduces the Ungarian Markov chain on finite lattices, analyzes its expected steps to reach the bottom, and provides asymptotic estimates and bounds for specific lattice classes using combinatorial and probabilistic methods.
Contribution
It defines the Ungarian Markov chain, establishes bounds for its expected hitting time, and connects lattice theory with last-passage percolation to derive new asymptotic estimates.
Findings
Asymptotic estimates for the expected steps on weak order and Tamari lattices.
Upper bounds for expected steps in Cambrian and $ u$-Tamari lattices.
Connection between lattice properties and last-passage percolation results.
Abstract
We introduce the Ungarian Markov chain associated to a finite lattice . The states of this Markov chain are the elements of . When the chain is in a state , it transitions to the meet of , where is a random subset of the set of elements covered by . We focus on estimating , the expected number of steps of needed to get from the top element of to the bottom element of . Using direct combinatorial arguments, we provide asymptotic estimates when is the weak order on the symmetric group and when is the -th Tamari lattice. When is distributive, the Markov chain is equivalent to an instance of the well-studied random process known as last-passage percolation with geometric weights. One of our main results states that if is a trim lattice, then $\mathcal E(L)\leq\mathcal…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Random Matrices and Applications
